Relevant bibliographies by topics / Small Econometric models

Academic literature on the topic 'Small Econometric models'

Author: Grafiati

Published: 10 December 2022

Last updated: 29 January 2023

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Journal articles on the topic "Small Econometric models"

Bidabad, Bijan. "A Small Macro-Econometric Model." American Finance & Banking Review 4, no. 1 (June 4, 2019): 22–31. http://dx.doi.org/10.46281/amfbr.v4i1.287.

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Different sizes of macro-econometric models are used for different policy purposes. In this paper, we introduce a small macro-econometric model that includes macro-aggregates variables that can be solved dynamically and be used as a sample model to be estimated for other countries.

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Kaboudan, Mahmoud A. "Oil Revenue and Kuwait's Economy: An Econometric Approach." International Journal of Middle East Studies 20, no. 1 (February 1988): 45–66. http://dx.doi.org/10.1017/s0020743800057500.

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This paper presents a macroeconomic model for a small developing oil-exporting economy: Kuwait. The model is a simultaneous system of difference equations. Historic effects of changes in revenues from oil exports on the country's economic conditions are simulated. The model is then used to forecast these conditions through 1990, and to test two fiscal policy alternatives under the assumption that revenues from Kuwait's oil exports will remain constant from 1986 to 1990. The following are key words: developing economies; oil-exporting economies; Middle East economies; Kuwait; Kuwait's economy; policy models; macroeconomic models; econometric models; macroeconometric models; forecasting models; and policy models.

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Zadadaev, Sergey A., and Pavel B. Lukyanov. "SOFT COMPUTING AND SMALL DATA IN AN ECONOMETRIC STUDY OF NATIONAL DEVELOPMENT GOALS." SOFT MEASUREMENTS AND COMPUTING 11, no. 60 (2022): 65–71. http://dx.doi.org/10.36871/2618-9976.2022.11.006.

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The aim of the work was to model the mechanism of the influence of an exogenous resource variable on the predicted indicator of the national development goal, in which one model was selected from an infinite family of hypothetical resource allocation models within a year, reflecting the uncertainty inherent in soft computing. The study of problems based on small sample data in the age of big data is substantiated by the fact that there are a number of longitudinal tasks of longterm research in which, after 5–6 years of testing any methods, it is necessary to obtain data on their effectiveness and predictability in general. At the same time, the data slice occurs strictly at the end of the year as a control and summary measurement. In such cases, special econometric specifications of models are required that take into account the "physics" of relationships. This situation is similar to the situation in mechanics, when small data are compensated by the laws of motion and play the role of initial data in the Cauchy problem for differential equations – when the law itself is known and does not need to be estimated using big data.

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Vinod, H. D., and L. R. Shenton. "Exact Moments for Autor1egressive and Random walk Models for a Zero or Stationary Initial Value." Econometric Theory 12, no. 3 (August 1996): 481–99. http://dx.doi.org/10.1017/s0266466600006824.

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For a first-order autoregressive AR(1) model with zero initial value, xi = axi−1,_, + ei, we provide the bias, mean squared error, skewness, and kurtosis of the maximum likelihood estimator â. Brownian motion approximations by Phillips (1977, Econometrica 45, 463–485; 1978, Biometrika 65, 91–98; 1987, Econometrica 55, 277–301), Phillips and Perron (1988, Biometrika 75, 335–346), and Perron (1991, Econometric Theory 7, 236–252; 1991, Econometrica 59, 211–236), among others, yield an elegant unified theory but do not yield convenient formulas for calibration of skewness and kurtosis. In addition to the usual stationary case |α| < 1, we include the unstable |α| = 1 case of the random walk model. For the |α| < 1 case, we give new exact results for White's (1961, Biometrika 48, 85–94) model B, where the initial value x0 is a normal random variable N(0,σ2/(l – α2)). Our expressions are exact for small samples computed by relatively reliable Gaussian quadrature methods, rather than approximate ones in powers of n−l or α2.

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Nymoen, Ragnar. "On the Low Degree of Entropy Implied by the Solutions of Modern Macroeconomic Models." Entropy 24, no. 12 (November 25, 2022): 1728. http://dx.doi.org/10.3390/e24121728.

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The non-causal (“forward-looking”) solution used routinely in academic macroeconomics may represent a violation of a law of entropy, namely that the direction of time is one way (from the past and towards the present), and that the variance of economic processes increases with time. In order to re-establish a degree of compatibility with the law of entropy, so called hybrid forms are required add-ins to DSGE (Dynamic Stochastic General Equilibrium) models. However, the solution that uses hybrid forms is a particular special case of a causal solutions of autoregressive distributed lags, VARs and recursive and simultaneous equations models well known from empirical macro econometrics. Hence, hybrid forms of small scale DSGE models can be analysed and tested against competing model equations, using an econometric encompassing framework.

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Roljic, Lazo. "An expert system for national economy model simulations." Yugoslav Journal of Operations Research 12, no. 2 (2002): 247–69. http://dx.doi.org/10.2298/yjor0202247r.

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There are some fundamental economic uncertainties. We cannot forecast economic events with a very high scientific precision. It is very clear that there does not exist a unique 'general' model, which can yield all answers to a wide range of macroeconomic issues. Therefore, we use several different kinds of models on segments of the macroeconomic problem. Different models can distinguish/solve economy desegregation, time series analysis and other subfactors involved in macroeconomic problem solving. A major issue becomes finding a meaningful method to link these econometric models. Macroeconomic models were linked through development of an Expert System for National Economy Model Simulations (ESNEMS). ESNEMS consists of five parts: (1) small-scale short-term national econometric model, (2) Methodology of Interactive Nonlinear Goal Programming (MINGP), (3) data-base of historical macro-economic aggregates, (4) software interface for interactive communications between a model and a decision maker, and (5) software for solving problems. ESNEMS was developed to model the optimum macro-economic policy of a developing country (SFRY-formerly Yugoslavia). Most econometric models are very complex. Optimizing of the economic policy is typically defined as a nonlinear goal programming problem. To solve/optimize these models, a new methodology, MINGP, was developed as a part of ESNEMS. MINGP is methodologically based on linear goal programming and feasible directions method. Using Euler's Homogeneous Function Theorem, MINGP linearizes nonlinear homogeneous functions. The highest priorities in minimizing the objective function are the growth of gross domestic product and the decrease of inflation. In the core of the optimization model, MINGP, there is a small-scale econometric model. This model was designed through analysis of the causal relations in the SFRY's social reproduction process of the past 20 years. The objective of the econometric model is to simulate potential short term (one-year) national economic policies. Ex-ante simulation and optimization of economic policy for 1986 showed that, in SFRY, non-consistent macro-economic policy was resolute and led to both slower economic development and more rapid growth of inflation.

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Suryan, Viktor. "ECONOMETRIC FORECASTING MODELS FOR AIR TRAFFIC PASSENGER OF INDONESIA." Journal of the Civil Engineering Forum 3, no. 1 (August 29, 2017): 303. http://dx.doi.org/10.22146/jcef.26594.

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One of the major benefits of the air transport services operating in bigger countries is the fact that they provide a vital social economic linkage. This study is an attempt to establish the determinants of the passenger air traffic in Indonesia. The main objective of the study is to determine the economic variables that affect the number of airline passengers using the econometrics model of projection with an emphasis on the use of panel data and to determine the economic variables that affect the number of airline passengers using the econometrics model of projection with an emphasis on the use of time series data. This research also predicts the upcoming number of air traffic passenger until 2030. Air transportation and the economic activity in a country are interdependent. This work first uses the data at the country level and then at the selected airport level for review. The methodology used in this study has adopted the study for both normal regression and panel data regression techniques. Once all these steps are performed, the final equation is taken up for the forecast of the passenger inflow data in the Indonesian airports. To forecast the same, the forecasted numbers of the GDP (Gross Domestic Product) and population (independent variables were chosen as a part of the literature review exercise) are used. The result of this study shows the GDP per capita have significant related to a number of passengers which the elasticity 2.23 (time-series data) and 1.889 for panel data. The exchange rate variable is unrelated to a number of passengers as shown in the value of elasticity. In addition, the total of population gives small value for the elasticity. Moreover, the number of passengers is also affected by the dummy variable (deregulation). With three scenarios: low, medium and high for GDP per capita, the percentage of growth for total number of air traffic passenger from the year 2015 to 2030 is 199.3%, 205.7%, and 320.9% respectively.

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Doszyń, Mariusz. "Econometric Models of Real Estate Prices with Prior Information. Mixed Estimation." Real Estate Management and Valuation 30, no. 3 (September 1, 2022): 61–72. http://dx.doi.org/10.2478/remav-2022-0021.

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Abstract The purpose of this paper is to estimate econometric models with sample and prior information. Prices of land property for residential development in Szczecin are modeled (the price level was determined for 2018). Modeling property prices only based on sample data generates numerous problems. Transaction databases from local real estate markets often contain a small number of observations. Properties are frequently similar, which results in low variability of property characteristics, and thus – low efficiency of parameter estimators. In such a situation, the impact of some features cannot be estimated from the sample data. As a solution to this problem, the paper proposes econometric models that consider prior information. This information can be, for example, in the form of property feature weights proposed by experts. The prior information will be expressed in the form of stochastic restrictions imposed on the model parameters. In the simulation experiment, the predictive power of mixed estimation models is compared with two kind of models: OLS models and model with only prior information. It turned out that mixed estimation results are superior with regard to formal criteria and predictive abilities.

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Svetlana V. Doroshenko Ksenia A. Posysoeva, Svetlana V. Doroshenko Ksenia A. Posysoeva, and Svetlana V. Doroshenko Ksenia A. Posysoeva Svetlana V. Doroshenko Ksenia A. Posysoeva. "Econometric Estimation of Strategic Development Factors of Russian Border Regions." Economy of Region 17, no. 2 (June 2021): 431–44. http://dx.doi.org/10.17059/ekon.reg.2021-2-6.

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Cross-border development is significantly influenced by global events, such as 1990s transformations, when different inland areas across the world became borderlands. Further, due to 2014 geopolitical changes, the Russian Federation had to establish a new institutional framework regulating the border regional development. The research aims to assess the impact of strategic factors on socio-economic development of these regions. For that purpose, we analysed 47 of 50 Russian border entities divided into two groups of old and new (established after the collapse of the USSR in 1991) border regions. We hypothesise that the factors considered as strategic in these territories manifest differently in old and new border regions. Empirical data, obtained from the Federal State Statistics Service and Unified Interdepartmental Statistical Information System, cover the period from 2000 to 2018. The simulation was conducted using the statistical package Stata 14. We analysed five groups of factors (transport infra- structure, small business, foreign trade, tourism, ecology) as well as corresponding indicators. Gross regional product per capita in comparable prices of 2018 was considered as a dependent variable. Then, we assessed three models explaining the impact of the examined factors on old and new border regions individually and in combination. For each model, pooled regression, as well as random and fixed effects models were constructed. Conducted simulations revealed that the fixed effects models best describe the analysed data. The research results confirmed the hypothesis, showing that transport infrastructure and tourism are more important for new border regions, while the factors of ecology, small business and foreign trade have a greater impact on the development of old borderlands.

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Surmann, Markus, Wolfgang Brunauer, and Sven Bienert. "How does energy efficiency influence the Market Value of office buildings in Germany and does this effect increase over time?" Journal of European Real Estate Research 8, no. 3 (November 2, 2015): 243–66. http://dx.doi.org/10.1108/jerer-04-2015-0018.

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Purpose – The paper aims to estimate the effect of energy efficiency on the Market Value of office buildings and consider whether this effect increases over time. Design/methodology/approach – The authors analyze a dataset of office building valuations from 2009 to 2011, provided by the German Investment Property Database. The authors use hedonic regression models to determine the effect of energy efficiency and energy consumption on Market Values. Using generalized additive models (GAM) for modeling nonlinear covariate effects, the authors control for further building characteristics and location. Due to the small sample size, the authors introduce an innovative econometric approach that mitigates this problem. Findings – Mainly due to the small sample size, and in spite of the newly developed econometric methodology, the authors do not find clear evidence of the relationship between energy efficiency and the Market Value. However, the study nonetheless provides interesting insights into the composition of office building Market Values in Germany. Originality/value – In addition to the empirical results for the German office market, the main contribution of this paper lies in the econometric methodology. Beside the application of cutting-edge statistical techniques, the authors develop a method for handling datasets, for which the variable of interest is rarely observed, leveraging on the total available data. Thus, the methodology offers promising prospects for future research in similar settings.

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Dissertations / Theses on the topic "Small Econometric models"

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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Bose, Gopal Krishna 1955. "Model selection : an optimal approach to constructing a penalty function in small samples." Monash University, Dept. of Econometrics and Business Statistics, 2002. http://arrow.monash.edu.au/hdl/1959.1/8728.

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Power, Bernadette. "Factors which foster the survival of long-lived small firms." Thesis, University of St Andrews, 2004. http://hdl.handle.net/10023/14113.

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This thesis focuses on those factors which foster the long-run survival, or continued existence, of the small firm. Using fieldwork methods, new data were gathered in face-to-face interviews with 63 owner-managers of mature small firms in Scotland (average age of 251/2 years). An instrument incorporating novel ways of calibrating organisational change and performance was designed specifically for this study. The unique body of data enabled a number of new hypotheses to be tested in structural econometric models of small firm performance and growth. A mix of quantitative and qualitative data was also used to construct illustrative case studies of seven enterprise profiles. New measures of flexibility and firm-specific turbulence are used to explain the performance of mature small firms, and Heckman sample selection estimation is undertaken of this performance equation. Performance was measured using an index constructed fi-om Likert scales over 28 distinct attributes. It was found that firm- specific turbulence had a large negative effect on performance. Measures of flexibility (viz. agility and speed) enhanced the long run prospects of the mature small firm. Evidence of a trade-off relationship was found between measures of flexibility. Real options logic was found to be useful in interpreting the results. This evidence indicated that entrepreneurs should be alert to precipitators of organisational change, but should not act impulsively in responding to them. The tendency of the long-lived small firm to remain small is considered using structural modelling techniques. In a three-equation simultaneous model, performance, size and a third variable (viz. market extent and size of competitive strategy space) are jointly determined. An array of system estimation techniques (e.g. 2SLS, SSLS, H3SLS) was employed to estimate the behavioural models. A trade-off is found between firm size and performance, thus embedding this result in a larger structural model. It is found that small firms need to adjust downwards in size, and to cultivate a varied competitive strategy in niche or localised markets, to attain higher equilibrium values of performance and to promote longevity.

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Ji, Inyeob Economics Australian School of Business UNSW. "Essays on testing some predictions of RBC models and the stationarity of real interest rates." Publisher:University of New South Wales. Economics, 2008. http://handle.unsw.edu.au/1959.4/41441.

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This dissertation contains a series of essays that provide empirical evidence for Australia on some fundamental predictions of real business cycle models and on the convergence and persistence of real interest rates. Chapter 1 provides a brief introduction to the issues examined in each chapter and provides an overview of the methodologies that are used. Tests of various basic predictions of standard real business cycle models for Australia are presented in Chapters 2, 3 and 4. Chapter 2 considers the question of great ratios for Australia. These are ratios of macroeconomic variables that are predicted by standard models to be stationary in the steady state. Using time series econometric techniques (unit root tests and cointegration tests) Australia great ratios are examined. In Chapter 3 a more restrictive implication of real business cycle models than the existence of great ratios is considered. Following the methodology proposed by Canova, Finn and Pagan (1994) the equilibrium decision rules for some standard real business cycle are tested on Australian data. The final essay on this topic is presented in Chapter 4. In this chapter a large-country, small-country is used to try and understand the reason for the sharp rise in Australia??s share of world output that began around 1990. Chapter 5 discusses real interest rate linkages in the Pacific Basin region. Vector autoregressive models and bootstrap methods are adopted to study financial linkages between East Asian markets, Japan and US. Given the apparent non-stationarity of real interest rates a related issue is examined in Chapter 6, viz. the persistence of international real interest rates and estimation of their half-life. Half-life is selected as a means of measuring persistence of real rates. Bootstrap methods are employed to overcome small sample issues in the estimation and a non-standard statistical inference methodology (Highest Density Regions) is adopted. Chapter 7 reapplies the High Density Regions methodology and bootstrap half-life estimation to the data used in Chapters 2 and 5. This provides a robustness check on the results of standard unit root tests that were applied to the data in those chapters. Main findings of the thesis are as follows. The long run implications of real business cycle models are largely rejected by the Australia data. This finding holds for both the existence of great ratios and when the explicit decision rules are employed. When the small open economy features of the Australian economy are incorporated in a two country RBC model, a country-specific productivity boom seems to provide a possible explanation for the rise in Australia??s share of world output. The essays that examine real interest rates suggest the following results. Following the East Asian financial crisis in 1997-98 there appears to have been a decline in the importance of Japan in influencing developments in the Pacific Basin region. In addition there is evidence that following the crisis Korea??s financial market became less insular and more integrated with the US. Finally results obtained from the half-life estimators suggest that despite the usual findings from unit root tests, real interest rates may in fact exhibit mean-reversion.

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Celanzi, Carla. "The perception of corruption of small and medium size enterprises in China and Italy." Thesis, View the Table of Contents & Abstract, 2007. http://sunzi.lib.hku.hk/hkuto/record/B36996506.

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Komicha, Hussien Hamda. "Farm household economic behaviour in imperfect financial markets : empirical evidence and policy implications on saving, credit and production efficiency in Southeastern Ethiopia /." Uppsala : Dept. of Economics, Swedish University of Agricultural Sciences, 2007. http://epsilon.slu.se/200778.pdf.

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McLaughlin, Daniel Patrick. "A small econometric model of the Irish economy." Thesis, Queen Mary, University of London, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390284.

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Romain, Astrid. "Essays in the empirical analysis of venture capital and entrepreneurship." Doctoral thesis, Universite Libre de Bruxelles, 2007. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210729.

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EXECUTIVE SUMMARY

This thesis aims at analysing some aspects of Venture Capital (VC) and high-tech entrepreneurship. The focus is both at the macroeconomic level, comparing venture capital from an international point of view and Technology-Based Small Firms (TBSF) at company and founder’s level in Belgium. The approach is mainly empirical.

This work is divided into two parts. The first part focuses on venture capital. First of all, we test the impact of VC on productivity. We then identify the determinants of VC and we test their impact on the relative level of VC for a panel of countries.

The second part concerns the technology-based small firms in Belgium. The objective is twofold. It first aims at creating a database on Belgian TBSF to better understand the importance of entrepreneurship. In order to do this, a national survey was developed and the statistical results were analysed. Secondly, it provides an analysis of the role of universities in the employment performance of TBSF.

A broad summary of each chapter is presented below.

PART 1: VENTURE CAPITAL

The Economic Impact of Venture Capital

The objective of this chapter is to perform an evaluation of the macroeconomic impact of venture capital. The main assumption is that VC can be considered as being similar in several respects to business R&D performed by large firms. We test whether VC contributes to economic growth through two main channels. The first one is innovation, characterized by the introduction of new products, processes or services on the market. The second one is the development of an absorptive capacity. These hypotheses are tested quantitatively with a production function model for a panel data set of 16 OECD countries from 1990 to 2001. The results show that the accumulation of VC is a significant factor contributing directly to Multi-Factor Productivity (MFP) growth. The social rate of return to VC is significantly higher than the social rate of return to business or public R&D. VC has also an indirect impact on MFP in the sense that it improves the output elasticity of R&D. An increased VC intensity makes it easier to absorb the knowledge generated by universities and firms, and therefore improves aggregate economic performance.

Technological Opportunity, Entrepreneurial Environment and Venture Capital Development

The objective of this chapter is to identify the main determinants of venture capital. We develop a theoretical model where three main types of factors affect the demand and supply of VC: macroeconomic conditions, technological opportunity, and the entrepreneurial environment. The model is evaluated with a panel dataset of 16 OECD countries over the period 1990-2000. The estimates show that VC intensity is pro-cyclical - it reacts positively and significantly to GDP growth. Interest rates affect the VC intensity mainly because the entrepreneurs create a demand for this type of funding. Indicators of technological opportunity such as the stock of knowledge and the number of triadic patents affect positively and significantly the relative level of VC. Labour market rigidities reduce the impact of the GDP growth rate and of the stock of knowledge, whereas a minimum level of entrepreneurship is required in order to have a positive effect of the available stock of knowledge on VC intensity.

PART 2: TECHNOLOGY-BASED SMALL FIRMS

Survey in Belgium

The first purpose of this chapter is to present the existing literature on the performance of companies. In order to get a quantitative insight into the entrepreneurial growth process, an original survey of TBSF in Belgium was launched in 2002. The second purpose is to describe the methodology of our national TBSF survey. This survey has two main merits. The first one lies in the quality of the information. Indeed, most of national and international surveys have been developed at firm-level. There exist only a few surveys at founder-level. In the TBSF database, information both at firm and at entrepreneur-level will be found.

The second merit is about the subject covered. TBSF survey tackles the financing of firms (availability of public funds, role of venture capitalists, availability of business angels,…), the framework conditions (e.g. the quality and availability of infrastructures and communication channels, the level of academic and public research, the patenting process,…) and, finally, the socio-cultural factors associated with the entrepreneurs and their environment (e.g. level of education, their parents’education, gender,…).

Statistical Evidence

The main characteristics of companies in our sample are that employment and profits net of taxation do not follow the same trend. Indeed, employment may decrease while results after taxes may stay constant. Only a few companies enjoy a growth in both employment and results after taxes between 1998 and 2003.

On the financing front, our findings suggest that internal finance in the form of personal funds, as well as the funds of family and friends are the primary source of capital to start-up a high-tech company in Belgium. Entrepreneurs rely on their own personal savings in 84 percent of the cases. Commercial bank loans are the secondary source of finance. This part of external financing (debt-finance) exceeds the combined angel funds and venture capital funds (equity-finance).

On the entrepreneur front, the preliminary results show that 80 percent of entrepreneurs in this study have a university degree while 42 percent hold postgraduate degrees (i.e. master’s, and doctorate). In term of research activities, 88 percent of the entrepreneurs holding a Ph.D. or a post-doctorate collaborate with Belgian higher education institutes. Moreover, more than 90 percent of these entrepreneurs are working in a university spin-off.

The Contribution of Universities to Employment Growth

The objective of this chapter is to test whether universities play a role amongst the determinants of employment growth in Belgian TBSF. The empirical model is based on our original survey of 87 Belgian TBSF. The results suggest that both academic spin-offs and TBSF created on the basis of an idea originating from business R&D activities are associated with an above than average growth in employees. As most ‘high-tech’ entrepreneurs are at least graduated from universities, there is no significant impact of the level of education. Nevertheless, these results must be taken with caution, as they are highly sensitive to the presence of outliers. Young high-tech firms are by definition highly volatile, and might be therefore difficult to understand.

CONCLUSION

In this last chapter, recommendations for policy-makers are drawn from the results of the thesis. The possible interventions of governments are classified according to whether they influence the demand or the supply of entrepreneurship and/or VC. We present some possible actions such as direct intervention in the VC funds, interventions of public sector through labour market rigidities, pension system, patent and research policy, level of entrepreneurial activities, bankruptcy legislation, entrepreneurial education, development of university spin-offs, and creation of a national database of TBSF.

Doctorat en Sciences économiques et de gestion
info:eu-repo/semantics/nonPublished

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He, Wei. "Model selection for cointegrated relationships in small samples." Thesis, Nelson Mandela Metropolitan University, 2008. http://hdl.handle.net/10948/971.

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Vector autoregression models have become widely used research tools in the analysis of macroeconomic time series. Cointegrated techniques are an essential part of empirical macroeconomic research. They infer causal long-run relationships between nonstationary variables. In this study, six information criteria were reviewed and compared. The methods focused on determining the optimum information criteria for detecting the correct lag structure of a two-variable cointegrated process.

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Chiarini, Bruno. "Analysis, simulation and control of a small econometric model of the Italian economy." Thesis, University of Southampton, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.261416.

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Books on the topic "Small Econometric models"

Schmitt-Grohe, Stephanie. Closing small open economy models. Cambridge, MA: National Bureau of Economic Research, 2002.

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Ahlstedt, Monica. Small sample estimation and stochastic simulation of an econometric model. Helsinki: Suomen Pankki, 1986.

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Frain, John. Estimating investment functions for a small-scale econometric model. Dublin: Economic Analysis, Research and Publications Department, Central Bank of Ireland, 1996.

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Rose, David E. The structure of the small annual model. [Ottawa]: Bank of Canada, 1985.

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Henry, Donald Putnam. SMOKE: A Small Model Of the Korean Economy. Santa Monica, CA (P.O. Box 2138, Santa Monica 90406-2138): Rand, 1986.

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Reid, Gavin C. Small firm growth and its determinants. St. Andrews: St. Salvator's College, 1992.

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Djoudad, Ramdane. A small dynamic hybrid model for the euro area. Ottawa: Bank of Canada, 2003.

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Carree, M. A. Small firms and economic growth. Rotterdam: Research Centre for Economic Policy, 1997.

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Murchison, Stephen. A structural small open-economy model for Canada. Ottawa: Bank of Canada, 2004.

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Murchison, Stephen. A structural small open-economy model for Canada. Ottawa: Bank of Canada, 2004.

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Book chapters on the topic "Small Econometric models"

Peters, Thomas A. "The Finite Sample Moments of OLS in Dynamic Models when Disturbances are Small." In Time Series and Econometric Modelling, 339–58. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-4790-0_22.

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Anselin, Luc, and Raymond J. G. M. Florax. "Small Sample Properties of Tests for Spatial Dependence in Regression Models: Some Further Results." In New Directions in Spatial Econometrics, 21–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-79877-1_2.

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Neck, Reinhard. "Policy Simulations and Optimal Control with a Small Econometric Model for Austria." In Systems Analysis and Simulation II, 249–52. New York, NY: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-8936-1_51.

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Chung, Ching-Fan, and Richard T. Baillie. "Small Sample Bias in Conditional Sum-of-Squares Estimators of Fractionally Integrated ARMA Models." In New Developments in Time Series Econometrics, 235–50. Heidelberg: Physica-Verlag HD, 1994. http://dx.doi.org/10.1007/978-3-642-48742-2_12.

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Raj, Baldev, and Pierre L. Siklos. "The Role of Fiscal Policy in the St. Louis Model: Nonparametric Estimates for a Small Open Economy." In Semiparametric and Nonparametric Econometrics, 47–64. Heidelberg: Physica-Verlag HD, 1989. http://dx.doi.org/10.1007/978-3-642-51848-5_4.

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Casanova, Sandrine, and Eve Leconte. "Nonparametric Model-Based Estimators for the Cumulative Distribution Function of a Right Censored Variable in a Small Area." In Advances in Contemporary Statistics and Econometrics, 45–57. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73249-3_3.

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Jaitang, Chalerm, Paravee Maneejuk, Aree Wiboonpongse, and Songsak Sriboonchitta. "Analysis of Small and Medium-Sized Enterprises’ Insolvency Probability by Financial Statements Using Probit Kink Model: Manufacture Sector in Songkhla Province, Thailand." In Structural Changes and their Econometric Modeling, 607–19. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04263-9_48.

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Hendry, David F., and Grayham E. Mizon. "Exogeneity, causality, and co-breaking in economic policy analysis of a small econometric model of money in the UK." In Money Demand in Europe, 1–28. Heidelberg: Physica-Verlag HD, 1999. http://dx.doi.org/10.1007/978-3-662-12539-7_1.

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Sengupta, Jhumur. "Application of Econometrics in Business Research." In Applications of Big Data in Large- and Small-Scale Systems, 137–59. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-6673-2.ch010.

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The last few years have seen great developments in econometrics for a better understanding of economic phenomena. The range of areas in which econometric models are successfully applied has steadily widened including finance and business management. Econometric analysis is concerned with the quantitative relationships between economic variables and it can provide an important input into the decision-making process. The range of areas in which econometric models are successfully applied has steadily widened including finance and business management. Econometrics has enhanced our understanding of the way the managerial decision works. Econometrics is used in doing quantitative analysis of actual economic phenomena based on theory and observations. An economic model is based on a set of assumptions to simplify the complex economic phenomena. This chapter is an attempt to review the application of econometrics using business data. The main objective of this chapter is to chart the application of this science in various fields of business management.

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Draper, D. A. G. "Unemployment in a Small Macroeconomic Disequilibrium Model." In Explaining Unemployment: Econometric Models for the Netherlands, 13–65. Emerald Group Publishing Limited, 1998. http://dx.doi.org/10.1108/s0573-8555(1998)0000250008.

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Conference papers on the topic "Small Econometric models"

Cook, Gary A. S., and Naresh R. Pandit. "Clustering and the internationalisation of high technology small firms in film and television." In 16th Annual High Technology Small Firms Conference, HTSF 2008. University of Twente, 2008. http://dx.doi.org/10.3990/2.268488363.

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This paper draws together three strands of literature, that on clustering, entrepreneurship and international business, examining the relationship between these three in promoting firm formation and growth within clusters. The evidence drawn on includes econometric models based on the unique International Trade in Services Film and Television dataset, an in-depth interview survey and questionnaire survey. The key conclusions are firstly that strong clusters promote entrepreneurship, which in turn promotes cluster strength in a self-reinforcing dynamic. Secondly, some firms are better able than others to benefit from cluster location due to superior firm competencies and absorptive capacity. Thirdly, cluster strength and internationalization are mutually reinforcing. Cluster strength contributes to the ability of entrepreneurial firms to expand overseas via export sales, licensing and FDI. Evidence is presented which indicates firms have greater intensity of export and import activity if they have resource-strengths, some of which are derived from their membership of a strong cluster. Strong clusters also attract multinationals and in the case of the London media cluster, although those multinationals appear somewhat less embedded than non-MNEs, they are nevertheless quite strongly embedded. This means that there is a second important feedback loop as spillovers from MNEs to local firms enhances cluster strength which attracts further multinationals. The acquisition of high performing firms by overseas MNEs does not appear to have reduced either their performance or their embeddedness in the cluster. Fourthly, the nature of internationalization strategies are conditioned by firm and industry characteristics. In particular, the extent to which tacit knowledge is embodied in a product emerges as being influential in terms of the decision of which internationalisation mode to use. Finally, the resource-based view of the firm emerges as a useful integrative framework for understanding the interplay between clusters, entrepreneurship and internationalisation strategies.

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Koşan, Naime İrem, and Sudi Apak. "Trade Openness and Macroeconomic Policy in OECD Countries." In International Conference on Eurasian Economies. Eurasian Economists Association, 2015. http://dx.doi.org/10.36880/c06.01373.

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Trade openness has been subject to an important issue many studies in literature. It allows us to analyze potential trade as a percentage of gross domestic product. Total value of international trade in goods and services shows the countries’ integration into the world economy. Generally, small countries are more integrated because of their dependency on imports. On the other hand, there many variables which effects trade integration. Our study focuses on to analyze the effects on trade openness and make inferences for OECD countries. In this paper we aim to examine the relationship between trade openness and macro-economic indicators in OECD countries. To analyze the relationship, we used panel data regression analysis. Data obtained from World Bank, The Heritage Foundation and United Nations Conference on Trade and Development (UNCTAD). The panel data covers 2000-2013 periods and 33 countries. The analysis made through the Stata econometric packet program. We predicted pooled, fixed effects and random effects panel data models and analyzed them. It has been found that gross domestic savings, investment freedom, and unemployment rate are statistically significant. The results found in this paper show that investment freedom and gross domestic savings have positive effect on trade openness as we expected. On the other hand, unemployment rate has positive effect on trade openness. These findings have important policy implications for OECD countries. Our interpretation of these findings is that, integration to world economy has generally positive effects for macroeconomic factors in OECD countries, but it should be limited.

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Yang, Yuer, Ruotong Du, Haodong Tang, and Yanxin Zheng. "SSLPNet: A financial econometric prediction model for small-sample long panel data." In ICIT 2021: IoT and Smart City. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3512576.3512607.

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Ershova, Tatiana Alekseevna. "Econometric modeling of the number of small and medium-sized businesses in the Southern Federal District." In All-Russian scientific and practical conference, chair Natalia Vladimirovna Burianova. Publishing house Sreda, 2022. http://dx.doi.org/10.31483/r-103014.

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The article builds an econometric additive time series model based on quarterly data on the number of small and medium-sized businesses in the Southern Federal District, and also calculates a forecast for the data of the indicator under consideration for the 3rd and 4th quarters of 2022.

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Ren, Yi, and Panos Y. Papalambros. "On the Use of Active Learning in Engineering Design." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70624.

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Active learning refers to the mechanism of querying users to accomplish a classification task in machine learning or a conjoint analysis in econometrics with minimum cost. Classification and conjoint analysis have been introduced to design research to automate design feasibility checking and to construct marketing demand models, respectively. In this paper, we review active learning algorithms from computer and marketing science, and establish the mathematical commonality between the two approaches. We compare empirically the performance of active learning and static D-optimal design on simulated classification and conjoint analysis test problems with labelling noise. Results show that active learning outperforms D-optimal design when query size is large or noise is small.

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Ozolina, Velga, and Astra Auzina-Emsina. "Macroeconometric Input-Output Model For Transport Sector Analysis." In 35th ECMS International Conference on Modelling and Simulation. ECMS, 2021. http://dx.doi.org/10.7148/2021-0082.

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Effective government transport policy can be based only on realistic data, sophisticated and detailed transport sector analysis, and productive modelling. The aim of the paper is to demonstrate the main elements used to develop a relatively small macro-economic input-output model with the emphasis on transport for one European Union (EU) country. Transport sector faces similar problems in various countries linked with emissions, transport flows, road accidents and other issues hence appropriate modelling tool should be selected. The model presented in this article consists of econometric and input-output relations. The research analyses and examines three scenarios and stresses the importance of the transport investment not only for development of the transport sector, but also for the economic development in general. The scenarios imply zero, 9 million and 6.7 million additional investment in transport sector eligible to the EU funding. As the result of additional investment, GDP recovers faster leading to 0.3-1.7%points faster growth rates as compared to the base scenario with no additional investment leading to faster cohesion with the average EU level, as well as higher number and turnover of passengers in the public and commercial transport, while the number of passenger cars is lower. The model can also be applied to study regional development, if it is possible to distinguish, which regions will benefit from the investment, as well as influence on fuel consumption and CO2 emissions, if the investments are targeted to specific means of transport.

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