Relevant bibliographies by topics / Information management – Econometric models

Academic literature on the topic 'Information management – Econometric models'

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Published: 10 March 2023

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Journal articles on the topic "Information management – Econometric models"

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Asafu-Adjaye, John, Edwin Kuh, John W. Neese, and Peter Hollinger. "Structural Sensitivity in Econometric Models." Journal of the Operational Research Society 37, no. 4 (April 1986): 440. http://dx.doi.org/10.2307/2582577.

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Asafu-Adjaye, John. "Structural Sensitivity in Econometric Models." Journal of the Operational Research Society 37, no. 4 (April 1986): 440. http://dx.doi.org/10.1057/jors.1986.77.

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Majewski, Sebastian, Waldemar Tarczynski, and Malgorzata Tarczynska-Luniewska. "Measuring investors’ emotions using econometric models of trading volume of stock exchange indexes." Investment Management and Financial Innovations 17, no. 3 (September 30, 2020): 281–91. http://dx.doi.org/10.21511/imfi.17(3).2020.21.

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Traditional finance explains all human activity on the ground of rationality and suggests all decisions are rational because all current information is reflected in the prices of goods. Unfortunately, the development of information technology and a growth of demand for new, attractive possibilities of investment caused the process of searching new, unique signals supporting investment decisions. Such a situation is similar to risk-taking, so it must elicit the emotional reactions of individual traders.The paper aims to verify the question that the market risk may be the determinant of traders’ emotions, and if volatility is a useful tool during the investment process as the measure of traders’ optimism, similarly to Majewski’s work (2019). Likewise, various econometric types of models of estimation of the risk parameter were used in the research: classical linear using OLS, general linear using FGLS, and GARCH(p, q) models using maximum likelihood method. Hypotheses were verified using the data collected from the most popular world stock exchanges: New York, Frankfurt, Tokyo, and London. Data concerned stock exchange indexes such as SP500, DAX, Nikkei, and UK100.
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Heckman, James J., and Christopher R. Taber. "Econometric mixture models and more general models for unobservables in duration analysis." Statistical Methods in Medical Research 3, no. 3 (October 1994): 279–99. http://dx.doi.org/10.1177/096228029400300306.

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Fildes, Robert. "Quantitative Forecasting-The State of the Art: Econometric Models." Journal of the Operational Research Society 36, no. 7 (July 1985): 549. http://dx.doi.org/10.2307/2582473.

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Fildes, Robert. "Quantitative Forecasting—the State of the Art: Econometric Models." Journal of the Operational Research Society 36, no. 7 (July 1985): 549–80. http://dx.doi.org/10.1057/jors.1985.99.

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Mahmoud, E., J. Motwani, and G. Rice. "Forecasting US exports: An illustration using time series and econometric models." Omega 18, no. 4 (1990): 375–82. http://dx.doi.org/10.1016/0305-0483(90)90027-7.

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Bapna, S. L. "Using Crop Outlook Information for Timely Marketing Decisions in Government." Vikalpa: The Journal for Decision Makers 11, no. 2 (April 1986): 131–40. http://dx.doi.org/10.1177/0256090919860205.

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Reliable and timely information on crop prospects is not available in India. As a consequence, market planning of procurement, storage and distribution operations, and pricing of foodgrains and other crops is usually based on subjective judgements of the government officials about the crofj prospects; therefore decisions are ad hoc and sub-optimal. This paper outlines an approach which uses econometric models. It is shown that reliable and timely crop outlook information can be obtained much before harvest at a low cost. It is illustrated how use of such information by the agricultural institutions in the government can improve the management of crop supplies and demand more effectively.
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Adamopoulos, Panagiotis, Anindya Ghose, and Alexander Tuzhilin. "Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence from Econometric Models and Machine-Learning Instruments." MIS Quarterly 46, no. 1 (February 15, 2022): 101–50. http://dx.doi.org/10.25300/misq/2021/15611.

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In this paper, we examine the effectiveness of various recommendation strategies in the mobile channel and their impact on consumers’ utility and demand levels for individual products. We find significant differences in effectiveness among various recommendation strategies. Interestingly, recommendation strategies that directly embed social proofs for the recommended alternatives outperform other recommendations. In addition, recommendation strategies combining social proofs with higher levels of induced awareness due to the prescribed temporal diversity have an even stronger effect on the mobile channel. We also examine the heterogeneity of the demand effect across items, users, and contextual settings, further verifying empirically the aforementioned information and persuasion mechanisms and generating rich insights. We also facilitate the estimation of causal effects in the presence of endogeneity using machine-learning methods. Specifically, we develop novel econometric instruments that capture product differentiation (isolation) based on deeplearning models of user-generated reviews. Our empirical findings extend the current knowledge regarding the heterogeneous impact of recommender systems, reconcile contradictory prior results in the related literature, and have significant business implications.
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Basovskaya, Elena, and Leonid Basovskiy. "Some Problems of the Transition to a Foreign Economy in Modern Russia." Scientific Research and Development. Economics 9, no. 5 (November 3, 2021): 54–57. http://dx.doi.org/10.12737/2587-9111-2021-9-5-54-57.

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The aim of the work was to identify the problems of transition to a new post-industrial - information economy. To analyze and identify problems, the construction of econometric models of extended production functions was used. The main most com-mon reason for the contradictory influence of new information and digital technologies on the economy in the country is the failure of institutions to meet the requirements of the new economic system. Another important reason is the widely used outdated admin-istrative and control style of management, characteristic of the industrial economy, the difficulties in mastering the use of digital technologies by management personnel.
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Dissertations / Theses on the topic "Information management – Econometric models"

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Lee, Daesik. "Essays on coalition formation under asymmetric information." Diss., Virginia Polytechnic Institute and State University, 1988. http://hdl.handle.net/10919/53567.

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We consider the applicability of the Revelation Principle under the possibility of collusive behavior among players in some Bayesian framework. In doing this, since the coalition formation itself suffers information asymmetry problems, we assume that the coalition is formed if the colluding parties can successfully find some coalitional mechanism whose outcome is a set of messages in the original mechanism. Recently Cremer [1986] proposes a coalitional mechanism in the framework of the well known Vickrey-Clark-Groves mechanism. We assume that the agents successfully collude if they can find coalitional a mechanism such that (i) coalitional mechanism is incentive-compatible and (ii) the payoff of this mechanism is strictly Pareto-improving in terms of the agent’s expected utility. Our analysis is undertaken in a one principal/two agent framework. We first ünd that the Revelation Principle is still applicable in the pure adverse selection model. We then extend this result to a model with both adverse selection and moral hazard aspects. Finally, we consider a three-tier principal/supervisor/agent hierarchical organization, as in Tirole (1986). We explicitly present the coalitional mechanism as a side-contract between the supervisor and the agent. We apply the previous result of applicability of the Revelation Principle and characterize the coalition-proof mechanism. We find that the principal can design an optimal collusion free contract with some additional cost by specifying proper individual and coalitional incentive-compatibility conditions and individual rationality conditions. Moreover, we find that the results of Tirole (1986)’s paper hinge on the fact that he considers only “hard,” verifiable, information.
Ph. D.
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Wei, Xiangjing. "House Prices and Mortgage Defaults: Econometric Models and Risk Management Applications." Digital Archive @ GSU, 2010. http://digitalarchive.gsu.edu/rmi_diss/24.

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This dissertation first investigates the possible house price trend and the relationship with the mortgage market, from the perspective of risk management; then it chooses the angle from bond insurers and figures out possible methods to avoid capital procyclicality. In Chapter I, we apply vector auto regression models (VAR) and simultaneous equations models (SEM) to estimate the dynamic relations among house price returns, mortgage rates and mortgage default rates, using historical data during the time period of 1979 through second quarter 2008. We find that house prices would be better estimated and predicted with the consideration of the mortgage market. In Chapter II, following the methodology of co-integration, we first construct several succinct measures to display the possible intrinsic values of house prices. In the short run, house price return dynamics are investigated by dynamic adjustments following Capozza et al (2002) and error correction models. We examine the possible overshooting problem of house price returns. By analytical derivations and simulations, we demonstrate the effects of the coefficients on overshooting. In Chapter III, we adopt a structural model with time-varying correlations for bond insurers. We consider losses due to bond insurers’ downgrading and losses from both insurance contracts and investment portfolio. On that basis, we propose forward-looking smoothing rules of capital over a full business cycle, instead of only based on a short-term horizon, to avoid the procyclicality. With the smoothed capital, a bond insurer can actually establish some capital buffer in good times to support the potential losses in crisis.
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Quigley, Daniel Hugh. "Essays in the economics of information disclosure." Thesis, University of Cambridge, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.648766.

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Sundali, James Arnold. "An experimental investigation of market entry problems." Diss., The University of Arizona, 1995. http://hdl.handle.net/10150/187079.

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This dissertation considers organizational problems of market entry. The research follows the experimental path. Game theoretic models are combined with laboratory experiments to produce a set of empirical findings. Two market entry problems are studied. The first considers the chain store paradox developed by Selten (1978). This game considers an established chain store with locations in numerous towns. In each of these towns a different competitor decides whether to enter and compete with the chain store. When entry occurs, the chain store can respond cooperatively or aggressively. The game proceeds sequentially, the players are not symmetric, and the critical solution concept is the subgame perfect equilibrium. Three experiments are conducted for a total of 550 trials of the game. Experiments differ in the size of payoffs, the number of entrants, the anonymity of the chain store, and whether subjects play in both the role of the chain store and an entrant or in just one role. There is qualified support for the game theoretic prediction that a chain store cannot deter the sequential entry of competitors. Entry occurred on 459 of 550 trials; while some chain stores pursue deterrence, it largely is not effective in these specific experimental environments. It is suggested that deterrence might be effective if the number of entrants or payoffs are increased. The results have implications for discussions on predatory pricing, reputation, and the value of backwards induction as a solution concept. The second market entry problem is based on a simultaneous market entry game developed by Rapoport (1994). In this game symmetric players decide simultaneously whether to enter a market with a specified capacity. The game theoretic prediction for the number of entrants is based on a Nash equilibrium (in pure or mixed strategies). Again, experimental results support game theoretic predictions. Across three experiments the correlation between the number of entrants and the size of the market capacity is consistently above 0.90. Taken together, these experiments on market entry problems provide strong support for the conceptual use of game theory and the methodological use of controlled laboratory experiments in the field of strategic management.
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Eadie, Edward Norman. "Small resource stock share price behaviour and prediction." Title page, contents and abstract only, 2002. http://web4.library.adelaide.edu.au/theses/09CM/09cme11.pdf.

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Borah, Bijan Jyoti. "Econometric models of provider choice and health care use in India." [Bloomington, Ind.] : Indiana University, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3240038.

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Thesis (Ph.D.)--Indiana University, Dept. of Economics, 2006.
"Title from dissertation home page (viewed July 16, 2007)." Source: Dissertation Abstracts International, Volume: 67-10, Section: A, page: 3907. Adviser: Pravin Trivedi.
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Huang, Tao. "Forecasting retailer product sales at the UPC level using econometric models with promotional information." Thesis, Lancaster University, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.619278.

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Retailers need accurate forecasts for inventory planning. Poor forecasts lead to either out-of-stock or over-stock conditions. If products are regularly out of stock, customers may get frustrated and eventually switch their loyalty to other supermarkets. Retailers also do not want to overstock items because it is costly. To promote the various products in their stores, retailers employ marketing mix activities such as price reductions and promotions. There is an established marketing literature that focuses on identifying and estimating the effects of the marketing mix activities. However, little research effort has been devoted to incorporating the information of the marketing mix activities in forecasting retailer sales at the Universal Product Code (UPC) level. The forecasting models in previous studies only take into account the effects of the marketing mix activities for the focal product. This thesis proposes econometric forecasting methods that also take into account the effects of competitive marketing mix activities. The selection of competitive marketing mix variables becomes important because it is not obvious which UCPs compete against each other. The relationship between the marketing mix activities and the product sales can change permanently. For example, consumer taste towards a particular product may change or we can consider the availability of a new close substitute product. However, traditional econometric models with fixed parameters assume that the relationship is time invariant. As a result, the model may be subject to structural breaks and thus produce biased forecasts. This thesis implements various recently developed techniques to adjust the fixed parameter model with respect to the forecast bias caused by structural breaks, which may potentially improve the forecasting accuracy. The empirical analysis suggests that the inclusion of competitive marketing mix variables offers worthwhile benefits and the adjusted econometric models which take into account structural changes can produce more accurate forecasts than traditional econometric models.
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Nyqvist, Olof. "Information Management for Cutting Tools : Information Models and Ontologies." Doctoral thesis, Stockholm : Industriell produktion, Production Engineering, Kungliga Tekniska högskolan, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4763.

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Dronkert, Max, and Terry Damink. "Improving sustainability performance with management information models." Thesis, Karlstads universitet, Handelshögskolan, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-55346.

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PurposeThe purpose of this paper is to discover how management information models provide organizations that have the will to perform sustainable, with a tool that gives them knowledge and practical guidance to reach sustainability and avoid the practice of greenwashing as a result. Therefore, the research question is: How can management information models serve as a tool to improve the sustainability performance and reduce the practice of greenwashing of an organization? Methods The authors approached this research from a balanced and pragmatic view. The primary data in the research is collected with a qualitative approach in the form of semi-structured interviews. The interviews are conducted with respondents from Swedish organizations in different sectors in order to increase the reliability of the study. The respondents are responsible for sustainability and management information models in their organizations. Findings The results present the need to enhance management information models by including the sustainability elements economic, social and environmental, also called the Triple Bottom Line (Elkington 1999). An evolution of the Balanced Scorecard (Kaplan & Norton 1996) is needed to reach a management information models that improves the sustainability performance. In addition, this study shows the importance of including a knowledge section in such models. Also, it is of high importance to place the measured outcomes of sustainability in context in order to provide insight in the true impact of the sustainability performance of the organization. Implications The implications of this research consists of three theoretical implications and three practical implications. The three theoretical implications include the three core elements of a sustainability model, simplification of complex knowledge especially on the knowledge performance and prescribing only the essential elements of a model. The three practical implications exists of dividing the implementation into phases, ensure responsibility of sustainability on a high management level and integrate sustainability into culture. KeywordsSustainability; greenwashing; management information models; contextsustainability; knowledge.
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Bengtsson, Jonas, and Mikael Grönkvist. "Performing Geographic Information System Analyses on Building Information Management Models." Thesis, KTH, Geodesi och satellitpositionering, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208922.

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As the usage of both BIM (Building Information Modelling) and 3D-GIS (Three-Dimensional Geographic Information Systems) has increased within the field of urban development and construction, so has the interest in connecting these two tools.  One possibility of integration is the potential of visualising BIM models together with other spatial data in 3D. Another is to be able to perform spatial 3D analyses on the models. Both of these can be achieved through use of GIS software. This study explores how integration of BIM and GIS could look. The goal was to perform typical GIS analyses in 3D on BIM models. Previous research points towards some success within the field through use of the indicated standard format for each tool – IFC (Industry Foundation Classes) for BIM and CityGML (City Geographic Markup Language) for GIS. Transformation between the formats took place through use of the BIM software Revit, the transformation tool FME and the GIS software ArcGIS. A couple of reviewed applications of GIS analyses were chosen for testing on the converted models – indoor network analysis, visibility analysis and spatial analysis for 3D buildings. The input data in the study was several BIM models, both models created for real-life usage and others that only function as sample data within the different software. From the results of the practical work it can be concluded that a simple, automated and full-scale integration does not seem to be within reach quite yet. Most transformations between IFC and CityGML failed to some extent, especially the more detailed and complex ones. In some test cases, the file could not be imported into ArcGIS and in others geometries were missing or existing even though they should not. There were also examples where geometries had been moved during the process. As a consequence of these problems, most analyses failed or did not give meaningful results. A few of the original analyses did give positive results. Combining (flawed) CityGML models with other spatial data for visualisation purposes worked rather well. Both the shadow volume and sightline analyses did also get reasonable results which indicates that there might be a future for those applications. The obstacles for a full-scale integration identified during the work were divided into four different categories. The first is BIM usage and routines where created models need to be of high quality if the final results are to be correct. The second are problems concerning the level of detail, especially the lack of common definitions for the amount of details and information. The third category concerns the connection between local and global coordinate systems where a solution in form of updates to IFC might already be in place. The fourth, and largest, category contains those surrounding the different formats and software used. Here, focus should lie on the transformation between IFC and CityGML. There are plenty of possible, future, work concerning these different problems. There is also potential in developing own tools for integration or performing different analyses than those chosen for this thesis.
I takt med den ökade användningen av både BIM och 3D-GIS inom samhällsbyggnadsprocessen har även intresset för att sammanföra de två verktygen blivit större. En möjlighet med integration är potentialen att visualisera BIM-modeller tillsammans med andra geografiska data i 3D. En annan är att kunna genomföra rumsliga 3D-analyser på modellerna. Båda dessa går att utföra med hjälp av GIS-programvara. Denna studie utforskar hur en integration mellan BIM och GIS kan se ut. Målet är att genomföra typiska GIS-analyser i 3D på BIM-modeller. Tidigare forskning pekar mot vissa framgångar inom området genom att arbeta med det utpekade standardformatet för respektive verktyg – IFC för BIM och CityGML för GIS. Transformation mellan formaten skedde med hjälp av programvarorna Revit, FME och ArcGIS. Ett par framhållna tillämpningar av GIS-analyser valdes ut för tester på de konverterade modellerna – nätverksanalyser inomhus, siktanalyser och rumsliga analyser för 3D-byggnader. Som indata användes flera olika BIM-modeller, både sådana som tillverkats för faktisk användning och modeller som skapats för att användas som exempeldata inom programvarorna. Utifrån resultaten från det praktiska arbetet kan konstateras att en enkel, automatiserad och fullskalig integration mellan verktygen verkar ligga en bit in i framtiden. De flesta transformationerna mellan IFC och CityGML misslyckades i någon aspekt, speciellt de mer detaljerade och komplexa. I vissa testfall kunde filen inte importeras i ArcGIS, i andra saknas eller existerar oväntade geometrier även om importen lyckats. Det finns också exempel där geometrier förflyttats. Som en konsekvens av dessa problem kunde de flesta 3D-analyser inte genomföras alls eller lyckades inte ge betydelsefulla resultat. Ett fåtal av de ursprungliga analyserna gav dock positiv utdelning. Att kombinera (felaktiga) CityGML-modeller med annan rumslig data fungerade förhållandevis väl ur ett visualiseringssyfte. Både skuggvolymsanalysen och framtagandet av siktlinjer från byggnaderna gav någorlunda korrekta resultat vilket indikerar att det kan finnas en framtid gällande de tillämpningarna. Hindren för en fullskalig integration som identifierades genom arbetet delades upp i fyra olika kategorier. Den första är BIM-användning där hög kvalitet på de skapade modellerna är viktigt för korrekta slutresultat. Den andra är detaljeringsgraden där avsaknaden av gemensamma definitioner för detaljeringsgraderna ställer till problem. Den tredje kategorin är koordinat- och referenssystem där en lösning på kopplingen mellan lokala och globala system redan kan finnas på plats i en av de senare utgåvorna av IFC-formatet. Den sista och största kategorin är problematiken kring just format och programvaror där mer arbete på översättningen mellan IFC och CityGML kommer att krävas. I framtiden finns det gott om arbete att göra med dessa olika problem. Det finns också potential att utveckla egna verktyg för integrationen eller att ägna sig åt att göra andra analyser än de som valdes ut i den här studien.
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Books on the topic "Information management – Econometric models"

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Goldstein, Itay. An information-based trade off between foreign direct investment and foreign portfolio investment. Cambridge, Mass: National Bureau of Economic Research, 2005.

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Goldstein, Itay. An information-based trade off between foreign direct investment and foreign portfolio investment. Cambridge, MA: National Bureau of Economic Research, 2005.

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Santos, Brian L. Dos. Allocating information systems resources. West Lafayette, Ind: Institute for Research in the Behavioral, Economic, and Management Sciences, Krannert Graduate School of Management, Purdue University, 1990.

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Welfe, Władysław. Knowledge-based economies: Models and methods. Frankfurt am Main: Peter Lang, 2009.

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Hubbard, Thomas N. Information, decisions, and productivity: On-board computers and capacity utilization in trucking. Cambridge, MA: National Bureau of Economic Research, 2001.

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Wankhade, Lalit. Quality uncertainty and perception: Information asymmetry and management of quality uncertainty and quality perception. Berlin: Physica-Verlag, 2010.

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Hubbard, Thomas N. Why are process monitoring technologies valuable?: The use of on-board information technology in the trucking industry. Cambridge, MA: National Bureau of Economic Research, 1998.

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Mankiw, N. Gregory. Sticky information in general equilibrium. Cambridge, Mass: National Bureau of Economic Research, 2006.

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Ewert, Ralf. Wirtschaftsprüfung und asymmetrische Information. Berlin: Springer-Verlag, 1990.

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Veldkamp, Laura. Aggregate shocks or aggregate information?: Costly information and business cycle comovement. Cambridge, Mass: National Bureau of Economic Research, 2006.

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Book chapters on the topic "Information management – Econometric models"

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Brodie, Roderick J., Peter J. Danaher, V. Kumar, and Peter S. H. Leeflang. "Econometric Models for Forecasting Market Share." In International Series in Operations Research & Management Science, 597–611. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-0-306-47630-3_27.

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Chiappori, Pierre-André. "Econometric Models of Insurance under Asymmetric Information." In Handbook of Insurance, 365–93. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-010-0642-2_11.

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Mandel, Alexander. "Econometric Models of Controllable Multiple Queuing Systems." In Communications in Computer and Information Science, 296–304. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30843-2_31.

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Charpentier, Arthur, and Emmanuel Flachaire. "Pareto Models for Risk Management." In Recent Econometric Techniques for Macroeconomic and Financial Data, 355–87. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54252-8_14.

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Blueschke, Dimitri, Viktoria Blueschke-Nikolaeva, and Reinhard Neck. "Stochastic Control of Econometric Models for Slovenia." In IFIP Advances in Information and Communication Technology, 21–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45504-3_3.

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Dima, Ioan Constantin, and Mariana Man. "Econometric Models Used in the Management of Production Costs." In Contributions to Management Science, 377–434. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16592-9_14.

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Olson, David L., and Desheng Wu. "Information Systems Security Risk." In Enterprise Risk Management Models, 27–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11474-8_3.

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Cheng-Few, Lee, and Yi Lin Wu. "Alternative Econometric Methods for Information-based Equity-selling Mechanisms." In Handbook of Quantitative Finance and Risk Management, 1151–63. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-0-387-77117-5_74.

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Mariel, Petr, David Hoyos, Jürgen Meyerhoff, Mikolaj Czajkowski, Thijs Dekker, Klaus Glenk, Jette Bredahl Jacobsen, et al. "Econometric Modelling: Extensions." In Environmental Valuation with Discrete Choice Experiments, 83–101. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62669-3_6.

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AbstractThis chapter is devoted to advanced issues of econometric modelling. The topics covered are, among others, models in willingness to pay space, the meaning of scale heterogeneity in discrete choice models and the application of various information processing rules such as random regret minimisation or attribute non-attendance. Other topics are anchoring and learning effects when respondents move through a sequence of choice tasks as well as different information processing strategies such as lexicographic preferences or choices based on elimination-by-aspects.
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Penrod, James I. "Methods and Models for Planning Strategically." In Healthcare Information Management Systems, 151–62. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4757-2402-8_13.

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Conference papers on the topic "Information management – Econometric models"

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Zhou, Shenghan, and Fajie Wei. "Research on the Grey Econometric Model with Lags Information." In 2010 International Conference on Management and Service Science (MASS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icmss.2010.5576895.

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Kunyang, Wan, and Yu Shujuan. "University Knowledge Spillover and Large & Medium-sized Industrial Enterprises New Products Development: Spatial Econometric Models Based on Panel Data." In 2010 International Conference on Information Management, Innovation Management and Industrial Engineering (ICIII). IEEE, 2010. http://dx.doi.org/10.1109/iciii.2010.402.

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Zhangjin Wei. "A research on minimum wage standard based on econometric model in China." In 2010 International Conference on Future Information Technology and Management Engineering (FITME). IEEE, 2010. http://dx.doi.org/10.1109/fitme.2010.5655809.

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Jian, Wang, Jin Hao, and Shen Hongli. "Econometric Analysis on the Relationship Between Financial Development and Economic Growth in China Based on Var Model." In 2010 International Conference of Information Science and Management Engineering. IEEE, 2010. http://dx.doi.org/10.1109/isme.2010.169.

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Li, Feng, and Chenggang Li. "Research on the Effect of Rural Finance on Agricultural Economy Based on Spatial Econometric Model." In Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/cimns-18.2018.43.

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PAN, HAIFENG, and DINGSHENG ZHANG. "RESEARCH ON THE RELEVANCE AND SPATIAL SPILLOVER EFFECTS OF ENVIRONMENTAL POLLUTION, FINANCIAL DEVELOPMENT AND ECONOMIC GROWTH IN CHINA." In 2021 INTERNATIONAL CONFERENCE ON ADVANCED EDUCATION AND INFORMATION MANAGEMENT (AEIM 2021). Destech Publications, Inc., 2021. http://dx.doi.org/10.12783/dtssehs/aeim2021/35984.

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Abstract. Comprehensively considering the factors of environmental pollution, financial development and spillover effects, this paper analyzes the spatial dependence and clustering characteristics by selecting provincial panel data from 2005 to 2018. Meanwhile, considering geographic distance, economic distance and asymmetric factors, the optimal spatial econometric models are determined by constructing five different weight matrices and utilizing spatial panel models. The results show that (1) there existed significant positive correlation in the regional economic development and the spatial dependence played a significant role in promoting the economic development; (2) the direction and significance of spatial spillover effects were consistent under different spatial weights, and the spatial weight which considered geographical distance, economic distance and asymmetric factors proved to be the best; (3) the environmental pollution had a significant positive correlation with economic growth; (4) financial development had some positive effects on economic growth; (5) financial development was conducive to reducing the impact of environmental pollution on economic growth, and the promotion of environmental quality could strengthen the role of financial development in promoting economic growth; (6) from the perspective of regional heterogeneity, the cross terms of environmental pollution and financial development were not significant in the eastern region, but significantly negative in the central and western regions.
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Li, Sen, Hongyuan Liang, Zinan Li, and Haiying He. "An Empirical Study on the Contribution of Information Technology to Liaoning Economy based on Econometric Model: Taking the Internet Industry as an Example." In The International Conference on Big Data Economy and Digital Management. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0011164400003440.

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Xie, Xiaoxia. "Research on the explanation power of accounting information of annual report of listed companies of stock price—Based on econometric model concept of empirical accounting theory." In 2011 International Conference on Business Management and Electronic Information (BMEI). IEEE, 2011. http://dx.doi.org/10.1109/icbmei.2011.5920522.

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FREIMANIS, Kristaps, and Maija ŠENFELDE. "METHODOLOGY FOR THE ASSESSMENT OF REGULATION COSTS IN THE BANKING MARKET." In International Scientific Conference „Contemporary Issues in Business, Management and Economics Engineering". Vilnius Gediminas Technical University, 2021. http://dx.doi.org/10.3846/cibmee.2021.600.

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Purpose – In the field of the economics’ regulation researchers so far have built the conceptual framework showing how the deadweight loss of market failures decrease and costs of the government intervention increase with the increased level of the government intervention. In order to quantify relationships between the level of intervention, intervention costs and the deadweight loss with econometric models it is important to understand how to quantify the regulation costs as a part of intervention costs. The objective of the research presented in this paper is to find the appropriate methodology for the quantification of the regulation costs in the banking market. Research methodology – literature review (regarding theories), mathematical methods for quantification and econometric methods for validation purposes. Findings – research shows that in the assessment of regulation costs three main stakeholders should be included – microprudential regulator, macroprudential regulator and financial regulation’s policy maker. Research presents their cost assessment methodology. Its validation shows that in general methodology works as expected, i.e., higher government intervention levels lead to higher regulation costs, however this general rule has exceptions, which in authors’ view indicates that other factors have an impact on the cost levels. Research limitations – research shows how to assess the costs of main stakeholders based on the publicly available information. More precise view could be obtained if in the cooperation with authorities more details on certain cost items are received. Practical implications – research results will be used to assess all government intervention costs (other positions include compliance costs and other indirect costs) and finalize the quantification of the framework. Quantified framework could be used for more precise policy making regarding the regulation of the banking market. Originality/Value – research shows how to quantify the regulation costs of the banking market as currently there are only conceptual ideas.
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Ivanyuk, Vera. "Econometric Forecasting Models Based on Forecast Combination Methods." In 2018 Eleventh International Conference "Management of large-scale system development" (MLSD 2018). IEEE, 2018. http://dx.doi.org/10.1109/mlsd.2018.8551825.

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Reports on the topic "Information management – Econometric models"

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García-Espinosa, J., and C. Soriano. Data management plan. Scipedia, 2021. http://dx.doi.org/10.23967/prodphd.2021.9.003.

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This document presents the deliverable D8.1 – the Data Management Plan (DMP) of work package 8 of the prodPhD project. It aims to present the plan for the management, generation, collection, security, preservation and sharing of data generated through the prodPhD project. The DMP is a key element for organizing the project’s data. It provides an analysis of the data, which will be collected, processed and published by the prodPhD consortium. The project embraces the initiatives of the European Commission to promote the open access to research data, aiming to improve and maximize access to and reuse of research data generated by Horizon 2020 projects. In this sense prodPhD will adhere to the Open Research Data Pilot (ORD Pilot) fostered by the European Commission, and this DMP will be developed following the standards of data storage, access and management. This plan will detail what data will be generated through the project, whether and how it will be made accessible for the verification and reuse and how it will be curated and preserved. In this context, the term data applies to the information generated during the different experimental campaigns carried out in the project, and specifically to the data, including associated metadata, to be used to validate the computational models and the technical solutions to be developed in the project. This document is the first version of the DMP and may be updated throughout the project, if significant changes (new data, changes in consortium policies, changes in consortium composition, etc.) arise.
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McGarrigle, M. Embedding Building Information Modelling into Construction Technology and Documentation Courses. Unitec ePress, November 2014. http://dx.doi.org/10.34074/rsrp.005.

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The aim of this research is to generate a resource to assist construction lecturers in identifying opportunities where Building Information Modelling [BIM] could be employed to augment the delivery of subject content within individual courses on construction technology programmes. The methodology involved a detailed analysis of the learning objectives and underpinning knowledge of the course content by topic area, within the residential Construction Systems 1 course presently delivered at Unitec on the National Diplomas in Architectural Technology[NDAT], Construction Management [NDCM] and Quantity Surveying [NDQS]. The objective is to aid students’ understanding of specific aspects such as planning controls or sub-floor framing by using BIM models, and investigate how these could enhance delivery modes using image,animation and interactive student activity. A framework maps the BIM teaching opportunities against each topic area highlighting where these could be embedded into construction course delivery. This template also records software options and could be used in similar analyses of other courses within similar programmes to assist with embedding BIM in subject delivery.
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McGarrigle, M. Embedding Building Information Modelling into Construction Technology and Documentation Courses. Unitec ePress, November 2014. http://dx.doi.org/10.34074/rsrp.005.

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The aim of this research is to generate a resource to assist construction lecturers in identifying opportunities where Building Information Modelling [BIM] could be employed to augment the delivery of subject content within individual courses on construction technology programmes. The methodology involved a detailed analysis of the learning objectives and underpinning knowledge of the course content by topic area, within the residential Construction Systems 1 course presently delivered at Unitec on the National Diplomas in Architectural Technology[NDAT], Construction Management [NDCM] and Quantity Surveying [NDQS]. The objective is to aid students’ understanding of specific aspects such as planning controls or sub-floor framing by using BIM models, and investigate how these could enhance delivery modes using image,animation and interactive student activity. A framework maps the BIM teaching opportunities against each topic area highlighting where these could be embedded into construction course delivery. This template also records software options and could be used in similar analyses of other courses within similar programmes to assist with embedding BIM in subject delivery.
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Jung, Jacob, Michael Guilfoyle, Austin Davis, Christina Saltus, Eric Britzke, and Richard Fischer. Threatened, endangered, and at-risk species for consideration into climate change models in the Northeast. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42143.

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This special report provides a selection process for choosing priority species using the specific focus of high-elevation, forested habitats in the North Atlantic to demonstrate the process. This process includes criteria for choosing invasive species to incorporate into models, given the predicted spread of invasive plant species because of climate change. Discussed in this report are the US Army Corps of Engineers’ Threatened and Endangered Species Team portal, the US Fish and Wildlife Service’s Information for Planning and Consultation Portal, the nonprofit organization Partners in Flight’s watch list, the US Geological Survey’s Biodiversity Information Serving Our Nation model, and NatureServe’s interagency effort Landfire. The data linked this montane habitat with a species of conservation concern, Cartharus bicknelli and the endangered squirrel Glaucomys sabrinus as target species and with Elaeagnus umbellate, Robinia pseudoacacia, Rhamnus cathartica, and Acer planoides as invasive species. Incorporating these links into the climate change framework developed by Davis et al. (2018) will create predictive models for the impacts of climate change on TER-S, which will affect land management decisions in the region.
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Aalto, Juha, and Ari Venäläinen, eds. Climate change and forest management affect forest fire risk in Fennoscandia. Finnish Meteorological Institute, June 2021. http://dx.doi.org/10.35614/isbn.9789523361355.

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Forest and wildland fires are a natural part of ecosystems worldwide, but large fires in particular can cause societal, economic and ecological disruption. Fires are an important source of greenhouse gases and black carbon that can further amplify and accelerate climate change. In recent years, large forest fires in Sweden demonstrate that the issue should also be considered in other parts of Fennoscandia. This final report of the project “Forest fires in Fennoscandia under changing climate and forest cover (IBA ForestFires)” funded by the Ministry for Foreign Affairs of Finland, synthesises current knowledge of the occurrence, monitoring, modelling and suppression of forest fires in Fennoscandia. The report also focuses on elaborating the role of forest fires as a source of black carbon (BC) emissions over the Arctic and discussing the importance of international collaboration in tackling forest fires. The report explains the factors regulating fire ignition, spread and intensity in Fennoscandian conditions. It highlights that the climate in Fennoscandia is characterised by large inter-annual variability, which is reflected in forest fire risk. Here, the majority of forest fires are caused by human activities such as careless handling of fire and ignitions related to forest harvesting. In addition to weather and climate, fuel characteristics in forests influence fire ignition, intensity and spread. In the report, long-term fire statistics are presented for Finland, Sweden and the Republic of Karelia. The statistics indicate that the amount of annually burnt forest has decreased in Fennoscandia. However, with the exception of recent large fires in Sweden, during the past 25 years the annually burnt area and number of fires have been fairly stable, which is mainly due to effective fire mitigation. Land surface models were used to investigate how climate change and forest management can influence forest fires in the future. The simulations were conducted using different regional climate models and greenhouse gas emission scenarios. Simulations, extending to 2100, indicate that forest fire risk is likely to increase over the coming decades. The report also highlights that globally, forest fires are a significant source of BC in the Arctic, having adverse health effects and further amplifying climate warming. However, simulations made using an atmospheric dispersion model indicate that the impact of forest fires in Fennoscandia on the environment and air quality is relatively minor and highly seasonal. Efficient forest fire mitigation requires the development of forest fire detection tools including satellites and drones, high spatial resolution modelling of fire risk and fire spreading that account for detailed terrain and weather information. Moreover, increasing the general preparedness and operational efficiency of firefighting is highly important. Forest fires are a large challenge requiring multidisciplinary research and close cooperation between the various administrative operators, e.g. rescue services, weather services, forest organisations and forest owners is required at both the national and international level.
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Berkman, Nancy D., Eva Chang, Julie Seibert, Rania Ali, Deborah Porterfield, Linda Jiang, Roberta Wines, Caroline Rains, and Meera Viswanathan. Management of High-Need, High-Cost Patients: A “Best Fit” Framework Synthesis, Realist Review, and Systematic Review. Agency for Healthcare Research and Quality (AHRQ), October 2021. http://dx.doi.org/10.23970/ahrqepccer246.

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Background. In the United States, patients referred to as high-need, high-cost (HNHC) constitute a very small percentage of the patient population but account for a disproportionally high level of healthcare use and cost. Payers, health systems, and providers would like to improve the quality of care and health outcomes for HNHC patients and reduce their costly use of potentially preventable or modifiable healthcare services, including emergency department (ED) and hospital visits. Methods. We assessed evidence of criteria that identify HNHC patients (best fit framework synthesis); developed program theories on the relationship among contexts, mechanisms, and outcomes of interventions intended to change HNHC patient behaviors (realist review); and assessed the effectiveness of interventions (systematic review). We searched databases, gray literature, and other sources for evidence available from January 1, 2000, to March 4, 2021. We included quantitative and qualitative studies of HNHC patients (high healthcare use or cost) age 18 and over who received intervention services in a variety of settings. Results. We included 110 studies (117 articles). Consistent with our best fit framework, characteristics associated with HNHC include patient chronic clinical conditions, behavioral health factors including depression and substance use disorder, and social risk factors including homelessness and poverty. We also identified prior healthcare use and race as important predictors. We found limited evidence of approaches for distinguishing potentially preventable or modifiable high use from all high use. To understand how and why interventions work, we developed three program theories in our realist review that explain (1) targeting HNHC patients, (2) engaging HNHC patients, and (3) engaging care providers in these interventions. Theories identify the need for individualizing and tailoring services for HNHC patients and the importance of building trusting relationships. For our systematic review, we categorized evidence based on primary setting. We found that ED-, primary care–, and home-based care models result in reduced use of healthcare services (moderate to low strength of evidence [SOE]); ED, ambulatory intensive caring unit, and primary care-based models result in reduced costs (low SOE); and system-level transformation and telephonic/mail models do not result in changes in use or costs (low SOE). Conclusions. Patient characteristics can be used to identify patients who are potentially HNHC. Evidence focusing specifically on potentially preventable or modifiable high use was limited. Based on our program theories, we conclude that individualized and tailored patient engagement and resources to support care providers are critical to the success of interventions. Although we found evidence of intervention effectiveness in relation to cost and use, the studies identified in this review reported little information for determining why individual programs work, for whom, and when.
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Bonfil, David J., Daniel S. Long, and Yafit Cohen. Remote Sensing of Crop Physiological Parameters for Improved Nitrogen Management in Semi-Arid Wheat Production Systems. United States Department of Agriculture, January 2008. http://dx.doi.org/10.32747/2008.7696531.bard.

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To reduce financial risk and N losses to the environment, fertilization methods are needed that improve NUE and increase the quality of wheat. In the literature, ample attention is given to grid-based and zone-based soil testing to determine the soil N available early in the growing season. Plus, information is available on in-season N topdressing applications as a means of improving GPC. However, the vast majority of research has focused on wheat that is grown under N limiting conditions in sub-humid regions and irrigated fields. Less attention has been given to wheat in dryland that is water limited. The objectives of this study were to: (1) determine accuracy in determining GPC of HRSW in Israel and SWWW in Oregon using on-combine optical sensors under field conditions; (2) develop a quantitative relationship between image spectral reflectance and effective crop physiological parameters; (3) develop an operational precision N management procedure that combines variable-rate N recommendations at planting as derived from maps of grain yield, GPC, and test weight; and at mid-season as derived from quantitative relationships, remote sensing, and the DSS; and (4) address the economic and technology-transfer aspects of producers’ needs. Results from the research suggest that optical sensing and the DSS can be used for estimating the N status of dryland wheat and deciding whether additional N is needed to improve GPC. Significant findings include: 1. In-line NIR reflectance spectroscopy can be used to rapidly and accurately (SEP <5.0 mg g⁻¹) measure GPC of a grain stream conveyed by an auger. 2. On-combine NIR spectroscopy can be used to accurately estimate (R² < 0.88) grain test weight across fields. 3. Precision N management based on N removal increases GPC, grain yield, and profitability in rainfed wheat. 4. Hyperspectral SI and partial least squares (PLS) models have excellent potential for estimation of biomass, and water and N contents of wheat. 5. A novel heading index can be used to monitor spike emergence of wheat with classification accuracy between 53 and 83%. 6. Index MCARI/MTVI2 promises to improve remote sensing of wheat N status where water- not soil N fertility, is the main driver of plant growth. Important features include: (a) computable from commercial aerospace imagery that include the red edge waveband, (b) sensitive to Chl and resistant to variation in crop biomass, and (c) accommodates variation in soil reflectance. Findings #1 and #2 above enable growers to further implement an efficient, low cost PNM approach using commercially available on-combine optical sensors. Finding #3 suggests that profit opportunities may exist from PNM based on information from on-combine sensing and aerospace remote sensing. Finding #4, with its emphasis on data retrieval and accuracy, enhances the potential usefulness of a DSS as a tool for field crop management. Finding #5 enables land managers to use a DSS to ascertain at mid-season whether a wheat crop should be harvested for grain or forage. Finding #6a expands potential commercial opportunities of MS imagery and thus has special importance to a majority of aerospace imaging firms specializing in the acquisition and utilization of these data. Finding #6b on index MCARI/MVTI2 has great potential to expand use of ground-based sensing and in-season N management to millions of hectares of land in semiarid environments where water- not N, is the main determinant of grain yield. Finding #6c demonstrates that MCARI/MTVI2 may alleviate the requirement of multiple N-rich reference strips to account for soil differences within farm fields. This simplicity will be less demanding of grower resources, promising substantially greater acceptance of sensing technologies for in-season N management.
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Seale, Maria, Natàlia Garcia-Reyero, R. Salter, and Alicia Ruvinsky. An epigenetic modeling approach for adaptive prognostics of engineered systems. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41282.

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Prognostics and health management (PHM) frameworks are widely used in engineered systems, such as manufacturing equipment, aircraft, and vehicles, to improve reliability, maintainability, and safety. Prognostic information for impending failures and remaining useful life is essential to inform decision-making by enabling cost versus risk estimates of maintenance actions. These estimates are generally provided by physics-based or data-driven models developed on historical information. Although current models provide some predictive capabilities, the ability to represent individualized dynamic factors that affect system health is limited. To address these shortcomings, we examine the biological phenomenon of epigenetics. Epigenetics provides insight into how environmental factors affect genetic expression in an organism, providing system health information that can be useful for predictions of future state. The means by which environmental factors influence epigenetic modifications leading to observable traits can be correlated to circumstances affecting system health. In this paper, we investigate the general parallels between the biological effects of epigenetic changes on cellular DNA to the influences leading to either system degradation and compromise, or improved system health. We also review a variety of epigenetic computational models and concepts, and present a general modeling framework to support adaptive system prognostics.
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Niebler, Rebecca. Abfallwirtschaftliche Geschäftsmodelle für Textilien in der Circular Economy. Sonderforschungsgruppe Institutionenanalyse, September 2020. http://dx.doi.org/10.46850/sofia.9783941627833.

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This master thesis explores the challenges for waste management business models in the field of textiles regarding the requirements of the circular economy, as well as improvement potentials in the current framework conditions. It is concerned with the research question: "Is it advisable to change the frame-work conditions at meso or macro level, with regard to business models for waste management companies in the textile sector that are oriented towards the requirements of the circular economy, and - if so - in what way?” The approach of the study is based on the delta analysis of the e Society for Institutional Analysis at the Darmstadt University of Applied Sciences. It compares the target state of the normative requirements with the actual state of the textile and waste management framework conditions and attempts to identify the gaps (the delta). Based on the delta, it develops approaches that are intended to help reduce the gaps. The thesis develops three business models for the target year 2025 in different areas: an exchange platform for sorters, recyclers and designers, an automatic sorting plant and a plant for fibre-to-fibre recycling of mixed materials. It is becoming clear that these business models cannot meet the target requirements for the circular economy. The analysis identifies the remaining gaps in the framework conditions as the main problem. For example, insufficient innovation impulses and the lack of competitiveness of secondary raw materials inhibit the actors from applying and using new technologies and business models. Restricted access to knowledge and information, as well as a lack of transparency between the actors, also prove to be problematic. In order to answer the research question, the study recommends altering the framework conditions at meso and macro level. It proposes a platform for cooperation between designers, the introduction of a material declaration system and an eco-design guideline for textiles as possible development options. In addition, this work offers a matrix of criteria to help the actors test and improve their new waste management business models regarding their suitability for the circular economy. The analysis is carried out from an outsider's perspective on the entire textile industry. It therefore cannot cover and deal with all aspects and individual circumstances of each player in detail. The necessary changes in the framework conditions that have been identified can therefore be used as a basis for further investigations.
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Saltus, Christina, Todd Swannack, and S. McKay. Geospatial Suitability Indices Toolbox (GSI Toolbox). Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41881.

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Habitat suitability models are widely adopted in ecosystem management and restoration, where these index models are used to assess environmental impacts and benefits based on the quantity and quality of a given habitat. Many spatially distributed ecological processes require application of suitability models within a geographic information system (GIS). Here, we present a geospatial toolbox for assessing habitat suitability. The Geospatial Suitability Indices (GSI) toolbox was developed in ArcGIS Pro 2.7 using the Python® 3.7 programming language and is available for use on the local desktop in the Windows 10 environment. Two main tools comprise the GSI toolbox. First, the Suitability Index Calculator tool uses thematic or continuous geospatial raster layers to calculate parameter suitability indices based on user-specified habitat relationships. Second, the Overall Suitability Index Calculator combines multiple parameter suitability indices into one overarching index using one or more options, including: arithmetic mean, weighted arithmetic mean, geometric mean, and minimum limiting factor. The resultant output is a raster layer representing habitat suitability values from 0.0 to 1.0, where zero is unsuitable habitat and one is ideal suitability. This report documents the model purpose and development as well as provides a user’s guide for the GSI toolbox.
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