Academic literature on the topic 'Location choice'

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Journal articles on the topic "Location choice"

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Branikas, Ioannis, Harrison Hong, and Jiangmin Xu. "Location choice, portfolio choice." Journal of Financial Economics 138, no. 1 (October 2020): 74–94. http://dx.doi.org/10.1016/j.jfineco.2019.10.010.

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SHEARD, PHILIP. "Choice location." Nursing 27, no. 11 (November 1997): 6–8. http://dx.doi.org/10.1097/00152193-199711000-00003.

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Huang, Shengsheng, and John Cantwell. "FDI location choice: the role of locational ambidexterity." Multinational Business Review 25, no. 1 (April 18, 2017): 28–51. http://dx.doi.org/10.1108/mbr-04-2016-0016.

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Purpose This paper proposes locational ambidexterity as a location-specific factor based on an operation flexibility perspective, and explores why and how multinational corporations (MNCs) proactively deal with uncertainty by valuing locational ambidexterity in making location decisions. Design/methodology/approach Location choice data for foreign direct investment (FDI) at a sub-national level in China is used to test the role of locational ambidexterity. Findings We find that FDI generally prefers locations with high ambidexterity. Moreover, investments from a heterogeneous country context are more sensitive to locational ambidexterity than those from a similar country context. However, there is no significant evidence that wholly owned investments favor locational ambidexterity more than do international joint ventures. Research limitations/implications An alternative operationalization of locational ambidexterity may be needed. Future research could explore the sources of locational ambidexterity, identify other firm- and industry-level factors that could alter the value of ambidexterity, investigate how MNCs integrate locational ambidexterity into organization-specific option creation strategies and test the ambidexterity perspective with micro-level location choice data. Practical implications Locational ambidexterity may reduce the overall risk and adjustment cost of future changes. FDI may choose a location with high ambidexterity, i.e. a balanced portfolio of location-specific determinants, under uncertainty about the future. Originality/value Drawing on the notion of location flexibility from Buckley and Casson (1998), this study identifies a new location character, locational ambidexterity, and proposes that MNCs address uncertainty by choosing ambidextrous locations that offer more flexibility for MNCs to change or respond to potential volatility. Selecting locations with high ambidexterity is thus an alternative and complement to the organization-specific flexibility creation strategies suggested by the literature on real option and flexibility.
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Schaefer, Donald F. "Locational Choice in the Antebellum South." Journal of Economic History 49, no. 1 (March 1989): 145–65. http://dx.doi.org/10.1017/s0022050700007373.

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This article examines the economic and noneconomic factors that influenced the migration decisions of antebellum Southern households. It appears that nonslaveowners were neither pushed to inferior locations nor did they move independently of the economic consequences. For slaveowners, the observed links between locational choice and the economic characteristics of locations are weaker. The proportion of whites in a location's population was positively associated with the choice of a location for the nonslaveowners. This association was not found for any other group.
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Bilal, Adrien, and Esteban Rossi-Hansberg. "Location as an Asset." Econometrica 89, no. 5 (2021): 2459–95. http://dx.doi.org/10.3982/ecta16699.

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The location of individuals determines their job and schooling opportunities, amenities, and housing costs. We conceptualize the location choice of individuals as a decision to invest in a “location asset.” This asset has a current cost equal to the location's rent, and a future payoff through better job and schooling opportunities. As with any asset, savers in the location asset transfer resources into the future by going to expensive locations with high future returns. In contrast, borrowers transfer resources to the present by going to cheap locations that offer few other advantages. Holdings of the location asset depend on its comparison to other assets, with the distinction that the location asset is not subject to borrowing constraints. We propose a dynamic location model and derive an agent's mobility choices after experiencing income shocks. We document the investment dimension of location and confirm the core predictions of our theory using French individual panel data from tax returns.
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Ekici, Özgün, and Bugra Caskurlu. "Location Choice under Spillovers." Business and Economics Research Journal 13, no. 1 (January 31, 2022): 1–9. http://dx.doi.org/10.20409/berj.2022.358.

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Gupta, Surabhi, Peter Vovsha, and Rebekah Anderson. "Choice of Workplace Location." Transportation Research Record: Journal of the Transportation Research Board 2493, no. 1 (January 2015): 48–57. http://dx.doi.org/10.3141/2493-06.

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Bryant, Shannon. "Location, location, location: Anaphor selection in English locative prepositional phrases." Proceedings of the Linguistic Society of America 7, no. 1 (May 5, 2022): 5263. http://dx.doi.org/10.3765/plsa.v7i1.5263.

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This paper presents experimental work on the relative naturalness of subject-oriented reflexives (herself) and pronouns (her) in English locative prepositional phrases (e.g., Michele set a glass next to her/herself). Syntactic approaches to anaphor licensing have tended to focus on the lack of complementarity in such constructions; however, it has long been observed that preferences between forms may depend on verb meaning (change in location vs. perception vs. possession) and spatial relation (+contact vs. -contact), with very strong preferences reported in some cases. This study aims to clarify the extent to which these two factors shape anaphor choice. Results confirm that both play a significant role: reflexives are most natural in the expression of change in location and direct contact, while pronouns pattern oppositely. Importantly, preferences between forms are less stark than those found in constructions where syntactic constraints are assumed to render one form ungrammatical. I suggest that these findings favor a treatment of English anaphora that takes event structure into account.
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Vandeviver, Christophe, and Wim Bernasco. "“Location, Location, Location”: Effects of Neighborhood and House Attributes on Burglars’ Target Selection." Journal of Quantitative Criminology 36, no. 4 (October 11, 2019): 779–821. http://dx.doi.org/10.1007/s10940-019-09431-y.

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Abstract Objectives To empirically test whether offenders consider environmental features at multiple spatial scales when selecting a target and examine the simultaneous effect of neighborhood-level and residence-level attributes on residential burglars’ choice of residence to burglarize. Methods We combine data on 679 burglaries by 577 burglars committed between 2005 and 2014 with data on approximately 138,000 residences in 193 residential neighborhoods in Ghent, Belgium. Using a discrete spatial choice approach, we estimate the combined effect of neighborhood-level and residence-level attributes on burglars’ target choice in a conditional logit model. Results Burglars prefer burglarizing residences in neighborhoods with lower residential density. Burglars also favor burglarizing detached residences, residences in single-unit buildings, and renter-occupied residences. Furthermore, burglars are more likely to target residences in neighborhoods that they previously and recently targeted for burglary, and residences nearby their home. We find significant cross-level interactions between neighborhood and residence attributes in burglary target selection. Conclusions Both area-level and target-level attributes are found to affect burglars’ target choices. Our results offer support for theoretical accounts of burglary target selection that characterize it as being informed both by attributes of individual properties and attributes of the environment as well as combinations thereof. This spatial decision-making model implies that environmental information at multiple and increasingly finer scales of spatial resolution informs crime site selection.
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Zhan, Crystal. "SCHOOL CHOICE PROGRAMS AND LOCATION CHOICES OF PRIVATE SCHOOLS." Economic Inquiry 56, no. 3 (February 5, 2018): 1622–45. http://dx.doi.org/10.1111/ecin.12560.

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Dissertations / Theses on the topic "Location choice"

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Posada, Mariño Pablo. "Location, location, location choice models." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99091.

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Thesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2015.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 109-112).
Cities are, now more than ever before, the main centers of population and production. The growing demand for limited urban space is increasing urban complexity and magnifying both positive and negative externalities of urban agglomeration: increasing productivity, innovation, and social interaction, but also exacerbating living costs, pollution, inequality, congestion, etc. In order to build sustainable cities and have a net positive balance of urban externalities, we need to better understand the motivations of the different agents competing in the race for urban space. Location choice models can help to shine a light on these motivations by providing insights on agents' location preferences. They are also the building blocks of more comprehensive urban models and simulations that can help navigate urban complexity. This thesis explores location choice models for homeowner households and firms in Greater Boston. Specific research questions that these models can help answer include: How do residential location preferences vary with life cycles? What industries value clustering the most? These topics are important given (1) forecasted demographic changes, specifically the aging of the baby-boomers, and (2) the continuing move from a manufacturing-based economy to a service and knowledge-based economy. These changes in population and economy will likely require a change in housing stock in order to better match supply with demand, and changes in the stock of commercial space in order to continue boosting the firms that drive the economy of the region. The thesis also explores the data-related uncertainty of these models (how model estimation changes with different data sources) as well as their temporal transferability (how do preferences change over time). The location choice analysis for households suggests that income has a bigger impact on willingness to pay for location attributes than age of the head of the household or household size. The firm analysis indicates that firms in the professional service and health and education service sector place more value on proximity to jobs in the same industry and density than firms in other sectors. These preferences have strengthened over time. An in-depth analysis, such as the one presented in this thesis, of what city agents look for in a location can, and should, inform planning policies and intervention in order to better match location preferences with opportunities.
by Pablo Posada Mariño.
M.C.P.
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Colomé, Rosa. "Consumer choice in competitive location models." Doctoral thesis, Universitat Pompeu Fabra, 2002. http://hdl.handle.net/10803/7330.

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L'objectiu bàsic d'aquesta tesis doctoral és la incorporació dels models de preferència revelada d'elecció del consumidor en els models de localització competitiva en entorns discrets que tenen com a objectiu maximitzar la captura.

Després de la introducció i de la revisió de la literatura, el capítol 3 analitza la importància que té reflectir la conducta real del consumidor respecte a com aquest té en compte la distancia, i com això afecta a la optimalitat de les localitzacions que s'obtenen en aquests models.

Després d'analitzar la característica distancia, el capítol 4 presenta una nova metodologia per determinar quines altres característiques (a més de la distancia) s'han d'introduir en els models de Màxima Captura i com s'han de representar fent servir el model MCI (Multiplicative Competitive Interaction model) com a model d'elecció del consumidor. La metodologia s'aplica a dos entorns reals: Barcelona i Milton Keynes.

El capítol 5 presenta el "New Chance - Constrained Maximum Capture Location Problem". Aquest model de màxima captura, a més d'introduir les teories d'elecció del consumidor, introdueixen una nova restricció estocàstica de llindar de rendibilitat.

Finalment en el capítol 6 es presenten els algoritmes desenvolupats per a resoldre els models presentats en els capítols 3 i 5. Concretament, es desenvolupen i testejen dues metaheurístiques basades en les metaheurístiques GRASP, Ant System i TABU Search.
Esta tesis doctoral tiene como objetivo la incorporación de los modelos de preferencia revelada de elección del consumidor en los modelos de localización competitiva en entorno discreto que tienen como objetivo maximizar la captura.

Para ello, después de la introducción y de la revisión de la literatura, el capítulo 3 analiza la importancia que tiene reflejar la conducta real del consumidor respecto a cómo éste considera la distancia, y cómo esto afecta a la optimalidad de las localizaciones que se obtienen en estos modelos.

Una vez analizada la característica distancia, el capítulo 4 presenta una nueva metodología para determinar que otras características (además de la distancia) se deben introducir en los modelos de Máxima Captura y cómo se tienen que representar éstas utilizando el modelo MCI (Multiplicative Competitive Interaction model) como modelo de elección del consumidor. La metodología se aplica a dos entornos reales: Barcelona y Milton Keynes.

El capitulo 5 presenta el "New Chance - Constrained Maximum Capture Location Problem". Este modelo de máxima captura, además de introducir las teorías de elección del consumidor, introduce una nueva restricción estocástica de umbral de rentabilidad.

Finalmente en el capítulo 6 se presentan los algoritmos desarrollados para resolver los modelos presentados en los capítulos 3 y 5. Concretamente, se desarrollan y testean dos metaheurísticas basadas en las metaheurísticas GRASP, Ant System y TABU Search.
The main aim of this thesis is the introduction of consumer store - choice theories in the discrete competitive location models that have a maximum captured objective function.

After the introduction and the literature review, chapter 3 analyses the importance of consumer behaviour with respect to distance in the optimality of locations obtained by a traditional discrete competitive location models.

Once the distance attribute has been analysed, chapter 4 presents a methodology for determining which store attributes (other than distance) should be included in a new version of the Maximum Capture Discrete Competitive Location models to the retail sector, as well as how these parameters ought to be reflected. The revealed preference store choice model use to define this methodology is the Multiplicative Competitive Interaction model. The methodology is tested to the supermarket sector in two different scenarios: Barcelona and Milton Keynes .

Chapter 5 presents the "New Chance - Constrained Maximum Capture Location Problem". , which is a maximum capture model that takes into account the store-choice theories and has an stochastic threshold constraint.

Finally, chapter 6 presents the algorithms developed to solved the models presented in this thesis (chapter 3 and chapter 5). Basically, this chapter presents the formulation development and the computational experience, for a two metaheuristics. These are based in three metaheuristics: GRASP, Ant System and TABU Search.
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Sultan, Zahid. "Household location choice and travel behaviour." Thesis, Ulster University, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556480.

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Studies have shown that neighbourhood design is one of the key factors affecting the household transport mode choice. Traditionally quantitative methods have been applied to evaluate the interaction between spatial planning and household travel behaviour. This study is based on multi-method approach (a combination of qualitative and quantitative methods) to identify the key motivational and attitudinal factors and to understand the relationship between residential location choices and transport mode choice. The research adopted an innovative approach to the evaluation of this relationship compared to the more traditional direct or indirect valuation techniques. Another unique aspect of this research is the application of the Q-method. It is a research tool which can measure and show what a respondent really thinks. By conducting focus group discussions, subjective and objective survey analysis in Greater Belfast Metropolitan Area, one of the UK's most car dependent metropolitan areas, this research incorporated the different methods to evaluate the relationship between transportation and land-use planning along with the varying methods to elicit respondent's attitude and preference towards neighbourhood choice decision and travel mode choice. This study found a significant association between neighbourhood design characteristics and transport mode choice. The results show significant evidence of residential self- selection (relationship between residential location choice and travel behaviour) but the explicit causality of direction cannot be established. It implies that the conclusive statement as to whether the quality of neighbourhood environment influences travel behaviour or that travel preferences affect residential choice cannot be made based on the multi-method approach used in this research. Overall, neighbourhood safety and proximity to friends and relatives were found to be the most important residential area factors. Generally, residents give more preference to housing unit features rather than neighbourhood design factors in the residential location decision. The study confirms that people select their neighbourhood according to the set of attitudes. For example people with a pro-public transport attitude select the neighbourhood with greater PT access, in contrast, people with a car dominant attitude prefer neighbourhoods with open space and tranquillity. Quantitative analysis reveals that trip frequencies are mostly associated with household socio-demographic factors whereas trip length is associated with neighbourhood design characteristics.
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Freedman, Matthew L. "Location choice, product choice, and the human resource practices of firms." College Park, Md. : University of Maryland, 2007. http://hdl.handle.net/1903/7153.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2007.
Thesis research directed by: Economics. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Hunt, John Douglas. "Modelling commuter parking location choice and its influence on mode choice." Thesis, University of Cambridge, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.237902.

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Crim, Stephen J. (Stephen Johnson). "Developing a theory of nightclub location choice." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/44354.

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Thesis (M.C.P.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 2008.
Includes bibliographical references (p. 73-77).
This work is an investigation of the factors that influence where nightclubs locate within a city. Nightclubs, like other social spaces, provide important social and economic benefits in the urban environment. As amenities, they attract labor to cities, and as sites of social exchange, they provide space in which individuals can create the networks necessary for innovative industrial production, especially in the fine arts and other creative sectors. Nightclubs also appear to have a role in neighborhood upgrading or gentrification. Despite their importance, this is the first study on the factors that determine nightclub location choice. New York City and primarily Manhattan were chosen as sites for investigation because of the City's high number of nightclubs, and because of the regulatory as well as real estate pressures that are currently affecting the industry. A variety of sources, including personal interviews with nightclub owners and their employees, various government documents, as well as spatial and non-spatial databases, were consulted to formulate conclusions. As is the case with other forms of retail, nightclub owners are most concerned with patron accessibility and proximity to complimentary businesses when deciding where to locate their businesses. Other factors are also discussed, as is a theory of how super-regional nightclub clusters form. Not surprisingly, the author finds that nightclub location choice is highly constrained by the content, administration, and evolution of various city and state laws. Finally, recommendations designed to ease the regulatory burden on nightclubs while still controlling for nuisance concerns are presented for both government agencies and the industry.
by Stephen J. Crim.
M.C.P.
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Benchemam, Messaoud. "Disaggregate behavioural airport choice models." Thesis, Loughborough University, 1986. https://dspace.lboro.ac.uk/2134/11974.

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The identification of the distribution of air passengers among airports is an important task of the airport planner. It would be useful to understand how trip makers choose among competing airports. The ultimate purpose of this study is to research into , passengers' choice of airport so that the airport system can be planned on a more reliable basis. The choice of airport of passengers originating from central England in 1975 is explained by constructing multinomial disaggregate behavioural models of logit form. The data used for model calibration, were collected during two Civil Aviation Authority surveys. This work makes contribution to: -The definition of the major determinants of airport choice, -The responsiveness of passengers, choice to changes in these determinants, - The policy implications for the regional airports - The transferability of the model in time and space. The method of analysis has been selected after outlining the potential advantages and shortcomings of logit and probit models and after a test on the validity of the Independence from Irrelevant Alternatives (I.I.A.) property has been carried out. The results show that the multinomial logit model used for the airport choice is good in terms of its explanatory ability and successful in predicting the choices actually made. Travel time to the airport, frequency of flights and air fare are found to be decisive factors for a passenger to select a given airport but are not of equal importance. By influencing-these factors, it appears that there exists room for the transport planner to shift traffic from one airport to another to have an economically and/or environmentally efficient airport system. In their original form, the models have been tested and found not to be transferable to the London area in 1978. However, after a Bayesian updating procedure was applied, the business and inclusive tours models were transferable. The leisure model was not statistically transferable but had a good predictive ability while the domestic model was not transferable. Finally, subsequent directions ·for further research are outlined.
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Jain, Naveen K. "Resource, Strategies, Location Determinants, And Host Country Location Choice By Emerging Market Firms." FIU Digital Commons, 2009. http://digitalcommons.fiu.edu/etd/147.

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The extant literature had studied the determinants of the firms’ location decisions with help of host country characteristics and distances between home and host countries. Firm resources and its internationalization strategies had found limited attention in this literature. To address this gap, the research question in this dissertation was whether and how firms’ resources and internationalization strategies impacted the international location decisions of emerging market firms. To explore the research question, data were hand-collected from Indian software firms on their location decisions taken between April 2000 and March 2009. To analyze the multi-level longitudinal dataset, hierarchical linear modeling was used. The results showed that the internationalization strategies, namely market-seeking or labor-seeking had direct impact on firms’ location decision. This direct relationship was moderated by firm resource which, in case of Indian software firms, was the appraisal at CMMI level-5. Indian software firms located in developed countries with a market-seeking strategy and in emerging markets with a labor-seeking strategy. However, software firms with resource such as CMMI level-5 appraisal, when in a labor-seeking mode, were more likely to locate in a developed country over emerging market than firms without the appraisal. Software firms with CMMI level-5 appraisal, when in market-seeking mode, were more likely to locate in a developed country over an emerging market than firms without the appraisal. It was concluded that the internationalization strategies and resources of companies predicted their location choices, over and above the variables studied in the theoretical field of location determinants.
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Bayoh, Isaac Moussa. "Estimating the determinants of household residential location choice using a multinomial, discrete choice model." The Ohio State University, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=osu1374586719.

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Nunes, Letícia Faria de Carvalho. "Practice location of physicians: a discrete choice model approach." reponame:Repositório Institucional do FGV, 2015. http://hdl.handle.net/10438/13827.

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Economists and policymakers have long been concerned with increasing the supply of health professionals in rural and remote areas. This work seeks to understand which factors influence physicians’ choice of practice location right after completing residency. Differently from previous papers, we analyse the Brazilian missalocation and assess the particularities of developing countries. We use a discrete choice model approach with a multinomial logit specification. Two rich databases are employed containing the location and wage of formally employed physicians as well as details from their post-graduation. Our main findings are that amenities matter, physicians have a strong tendency to remain in the region they completed residency and salaries are significant in the choice of urban, but not rural, communities. We conjecture this is due to attachments built during training and infrastructure concerns.
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Books on the topic "Location choice"

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Pagliara, Francesca, John Preston, and David Simmonds, eds. Residential Location Choice. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5.

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E, Yett Donald, ed. Physician location and specialty choice. Ann Arbor, Mich: Health Administration Press, 1985.

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Pagliara, Francesca. Residential Location Choice: Models and Applications. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

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Neil, Wrigley, Economic and Social Research Council (Great Britain), and Workshop on Methods of Retail Analysis and Forecasting (1986 : University of Bristol), eds. Store choice, store location, and market analysis. London: Routledge, 1988.

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Dunning, John H. The location choice of offices of international companies. Leicester: University of Leicester, Department of Economics, 1985.

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Jayet, Hubert. The location of firms: An analysis of choice processes. Reading: CeSAER, Faculty of Urban and Regional Studies, University of Reading, 1994.

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Joy, Gray, ed. The perfect choice: The ultimate party and wedding location guide. 2nd ed. Silver Spring, Md: Gray McPherson Pub., 1998.

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Hamilton, Jonathan H. "Spatial discrimination: Bertrand vs. Cournot in a model of location choice". Fontainbleau: INSEAD, 1986.

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Kang, Sung Jin. Location choice of multinational companies in China: Korean and Japanese companies. Seoul, Korea: Korea Institute for International Economic Policy, 2004.

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Head, Keith. Agglomeration benefits and location choice: Evidence from Japanese manufacturing investment in the United States. Cambridge, MA: National Bureau of Economic Research, 1994.

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Book chapters on the topic "Location choice"

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Pagliara, Francesca, and Alan Wilson. "The State-of-the-Art in Building Residential Location Models." In Residential Location Choice, 1–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_1.

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Arentze, Theo, Harry Timmermans, and Jan Veldhuisen. "The Residential Choice Module in the Albatross and Ramblas Model Systems." In Residential Location Choice, 209–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_10.

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Feldman, Olga, Roger Mackett, Emma Richmond, David Simmonds, and Vassilis Zachariadis. "A Microsimulation Model of Household Location." In Residential Location Choice, 223–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_11.

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Pagliara, Francesca, and David Simmonds. "Conclusions." In Residential Location Choice, 243–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_12.

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Hunt, J. D. "Stated Preference Examination of Factors Influencing Residential Attraction." In Residential Location Choice, 21–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_2.

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Putman, Stephen H. "DRAM Residential Location and Land Use Model: 40 Years of Development and Application." In Residential Location Choice, 61–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_3.

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Simmonds, David. "The DELTA Residential Location Model." In Residential Location Choice, 77–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_4.

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Martínez, Francisco, and Pedro Donoso. "The MUSSA II Land Use Auction Equilibrium Model." In Residential Location Choice, 99–113. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_5.

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Pagliara, Francesca, John Preston, and Jae Hong Kim. "The Impact of Transport Policy on Residential Location." In Residential Location Choice, 115–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_6.

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Eliasson, Jonas. "The Influence of Accessibility on Residential Location." In Residential Location Choice, 137–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_7.

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Conference papers on the topic "Location choice"

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Yi Chao, Jiyuan Guo, Qi Wang, and Yang Yue. "Agent-based location choice simulation." In 2009 17th International Conference on Geoinformatics. IEEE, 2009. http://dx.doi.org/10.1109/geoinformatics.2009.5293061.

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Qianqin Chen and Min Fan. "Firm Location Choice with Technological Diffusion." In 2008 International Seminar on Business and Information Management (ISBIM 2008). IEEE, 2008. http://dx.doi.org/10.1109/isbim.2008.222.

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Ball, Asli. "European Corporate Location: The Choice Between Cities." In 8th European Real Estate Society Conference. ERES, 2001. http://dx.doi.org/10.15396/eres2001_110.

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"MOVING INTENTION AND CONDOMINIUM LOCATION CHOICE BEHAVIORS." In 15th Annual European Real Estate Society Conference: ERES Conference 2008. ERES, 2008. http://dx.doi.org/10.15396/eres2008_286.

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Davidson, Natalia, and Oleg Mariev. "FACTORS DETERMINING ENTERPRISE LOCATION CHOICE IN RUSSIA." In 11th Economics & Finance Conference, Rome. International Institute of Social and Economic Sciences, 2019. http://dx.doi.org/10.20472/efc.2019.011.005.

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Zhang, Yan-Bo, and Hong Tian. "Location Choice and Industry Transfer of FDI." In 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2008. http://dx.doi.org/10.1109/wicom.2008.2375.

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Zuo, Yushan, and Yanbo Zhang. "Research on Location Choice of Vertically FDI." In International Conference on Education, Management, Computer and Society. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/emcs-16.2016.504.

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Yang Huan, Chen Yan, Zhang Ze, and Zhang Zhiri. "Empirical research of Chinese outward FDI location choice." In 2010 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE 2010). IEEE, 2010. http://dx.doi.org/10.1109/icacte.2010.5579231.

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Appel-Meulenbroek, Rianne, Theo Arentze, Myriam Cloodt, and Wei Ng. "The location choice of technology-based firms: a stated choice experiment of science park alternatives." In 26th Annual European Real Estate Society Conference. European Real Estate Society, 2019. http://dx.doi.org/10.15396/eres2019_40.

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Zhang, Yan-Bo, Xu Bian, Ye Liu, and Dao-Gang Qu. "Location Choice and Agglomeration Mechanism of Foreign Direct Investment." In 2012 International Symposium on Computer, Consumer and Control (IS3C). IEEE, 2012. http://dx.doi.org/10.1109/is3c.2012.219.

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Reports on the topic "Location choice"

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Branikas, Ioannis, Harrison Hong, and Jiangmin Xu. Location Choice, Portfolio Choice. Cambridge, MA: National Bureau of Economic Research, January 2017. http://dx.doi.org/10.3386/w23040.

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Watson, Tara. Enforcement and Immigrant Location Choice. Cambridge, MA: National Bureau of Economic Research, November 2013. http://dx.doi.org/10.3386/w19626.

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Davis, Morris, and Jesse Gregory. Place-Based Redistribution in Location Choice Models. Cambridge, MA: National Bureau of Economic Research, July 2021. http://dx.doi.org/10.3386/w29045.

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Dong, Hongwei. Assessing Portland's Smart Growth: A Comprehensive Housing Supply and Location Choice Modeling Approach. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.183.

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Head, Keith, John Ries, and Deborah Swenson. Agglomeration Benefits and Location Choice: Evidence from Japanese Manufacturing Investment in the United States. Cambridge, MA: National Bureau of Economic Research, June 1994. http://dx.doi.org/10.3386/w4767.

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Yang, Yizhao. Understanding School Travel: How Residential Location Choice and the Built Environment Affect Trips to School. Portland State University Library, January 2010. http://dx.doi.org/10.15760/trec.22.

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Inge, Hooijen, Bijlsma Ineke, Cörvers Frank, and Poulissen Davey. The geographical psychology of recent graduates in the Netherlands: Relating enviornmental factors and personality traits to location choice. Maastricht University, Graduate School of Business and Economics, 2020. http://dx.doi.org/10.26481/umagsb.20003.

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Inge, Hooijen, Bijlsma Ineke, Cörvers Frank, and Poulissen Davey. The geographical psychology of recent graduates in the Netherlands: Relating environmental factors and personality traits to location choice. Research Centre for Education and the Labour Market, 2020. http://dx.doi.org/10.26481/umaror.2020001.

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Merkulova, Yuliya. Система цифровых моделей - новая технология для баланса данных. Yuliya Merkulova, April 2021. http://dx.doi.org/10.12731/er0430.26042021.

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Abstract:
Use of the digital technologies is new and very productive approach for balance of different data. It is very important for balance of supply and demand and for increase of competitiveness of products. Various types of digital models were developed as a result of scientific research, they found reflection in article. Digital models for the description of the list of the sequences of steps and operations of various stages and process in general allow to install system of interrelations between operations and steps and to reach necessary log-ic, increase of effectiveness of any process. Object-relational models for establishment of communications between data of various blocks of databases and functional models of the choice of strategy of data balance form analytical base for justification of the choice of the direction of transformation of data. Models of a combination of a plurality of various data of the offer of products in the form of matrixes of multi-purpose optimization have double effect, because they allow not only to develop various options of data combina-tion, taking into account opportunities of change of location of products over the markets and temporary phases, but also to estimate aggregate useful effect from products. These models together with models of comparison of various options and the choice of optimal solutions allow to generate compatible strategic and current programs of the offer of products as a plurality of the output data balanced with each other and with data of demand. It is providing the best synergetic result. The developed methodology of creation of system of the interconnected digital models for transformation of data and generation of the output data of the situational-strategic program of the offer of products is a cornerstone of formation of new digital econ-omy – of economy of balanced data.
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Bottan, Nicolas, and Ricardo Perez-Truglia. Choosing Your Pond: Location Choices and Relative Income. Cambridge, MA: National Bureau of Economic Research, July 2017. http://dx.doi.org/10.3386/w23615.

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