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Books on the topic 'Spatial econometric model'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Krugman, Paul R. The seamless world: A spatial model of international specialization. Centre for Economic Policy Research, 1995.

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2

Krugman, Paul R. The seamless world: A spatial model of international specialization. National Bureau of Economic Research, 1995.

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3

Novikov, Anatoliy, Tat'yana Solodkaya, Aleksandr Lazerson, and Viktor Polyak. Econometric modeling in the GRETL package. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1732940.

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The tutorial describes the capabilities of the GRETL statistical package for computer data analysis and econometric modeling based on spatial data and time series. Using concrete economic examples, GRETL considers classical and generalized models of linear and nonlinear regression, methods for detecting and eliminating multicollinearity, models with variable structure, autoregressive processes, methods for testing and eliminating autocorrelation, as well as discrete choice models and systems of simultaneous equations. For the convenience of users, the tutorial contains all the task data

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4

LeSage, James P. Introduction to spatial econometrics. CRC Press, 2009.

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5

Anselin, Luc. Spatial Econometrics: Methods and Models. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-015-7799-1.

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6

Antoine, Bailly, ed. Spatial econometrics of services. Avebury, 1992.

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7

Université catholique de Louvain (1970- ). Faculté des sciences. École de Géographie and Université catholique de Louvain (1970- ). Center for Operations Research and Econometrics, eds. Spatial bias in LUTI models. Presses Universitaires, 2016.

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8

Laan, L. van der. Spatial labour markets in the Netherlands. Eburon, 1991.

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9

Jalan, Jyotsna. Spatial poverty traps? World Bank, Development Research Group, 1997.

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10

Ram, Usha. Levels, differentials, and spatial patterns of childlessness in India. International Institute for Poulation Sciences, 2010.

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11

A, Blonigen Bruce, and National Bureau of Economic Research., eds. Spacey parents: Spatial autoregressive patterns in inbound FDI. National Bureau of Economic Research, 2005.

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12

Baldwin, Richard E. Heterogeneous firms, agglomeration and economic geography: Spatial selection and sorting. National Bureau of Economic Research, 2005.

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13

Hamermesh, Daniel S. Spatial and temporal aggregation in the dynamics of labor demand. National Bureau of Economic Research, 1992.

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14

Prodromidis, Prodromos-Ioannis. The spatial distribution of male and female employment and unemployment in Greece. Centre for Planning and Economic Research, 2008.

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15

Prodromidis, Prodromos-Ioannis. The spatial distribution of male and female employment and unemployment in Greece. Centre for Planning and Economic Research, 2008.

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16

Round, Jeffery I. Incorporating the international, regional, and spatial dimension into a SAM: Some methods and applications. University of Warwick, Development Economics Research Centre, 1988.

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17

Rey, Sergio J. (Sergio Joseph), author, ed. Modern spatial econometrics in practice: A guide to GeoDa, GeoDaSpace and PySAL. GeoDa Press LLC, 2014.

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18

Peng, Shin Kun. City structure, agglomeration, and urban configuration in spatial economy. Institute of Economics, Academia Sinica, 1989.

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19

P, Paelinck Jean H., Griffith Daniel A, Amrhein Carl G, and Huriot Jean-Marie 1945-, eds. Econometric advances in spatial modeling and methodology: Essays in honour of Jean Paelinck. Kluwer Academic Publishers, 1998.

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20

Hellerstein, Judith K. Spatial mismatch or racial mismatch? National Bureau of Economic Research, 2007.

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21

Gu, Yiquan. Product variety, price elasticity of demand, and fixed cost in spatial models. Ruhr Graduate School in Economics, 2009.

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22

Gu, Yiquan. Product variety, price elasticity of demand, and fixed cost in spatial models. Ruhr Graduate School in Economics, 2009.

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23

Desmet, Klaus. Spatial growth and industry age. National Bureau of Economic Research, 2007.

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24

Bannister, Geoffrey J. Spatial concentration in Mexican industry: A test of the benefits versus the costs. U.S.-Mexican Policy Studies Program, LBJ School of Public Affairs, University of Texas at Austin, 1993.

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25

Shaik, Saleem. Did 1933 New Deal legislation contribute to farm real estate: Temporal and spatial analysis. Dept. of Agribusiness and Applied Economics, North Dakota State University, 2010.

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26

Lewis, David J. A spatial econometric analysis of land-use change with land cover trends data: An application to the Pacific Northwest. U.S. Dept. of Agriculture, Pacific Northwest Research Station, 2014.

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27

Colaresi, Michael, and Jude C. Hays. Spatial and Temporal Interdependence. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190846626.013.301.

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Time and space are two dimensions that are likely to provide the paths—either singly or in tandem—by which international policy decisions are interdependent. There are several reasons to expect international relations processes to be interdependent across space, time, or both dimensions. Theoretical approaches such as rational expectations models, bureaucratic models of decision-making, and psychological explanations of international phenomena at least implicitly assume—and in many cases explicitly predict—dependence structures within data. One approach that researchers can use to test whether

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28

Bergen, Martina. The Japanese Pork Market Facing International Trade: Introducing a Spatial Equilibrium Model of International Trade Under Consideration of a Differential Tariff System (Europäische Hochschulschriften). Peter Lang Publishing, 2006.

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29

Bergen, Martina. The Japanese Pork Market Facing International Trade: Introducing a Spatial Equilibrium Model of International Trade Under Consideration of a Differential Tariff System (Europaische Hochschulschriften). Peter Lang Publishing, 2006.

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30

Spatial Econometrics: Spatial Autoregressive Models. World Scientific Publishing Co Pte Ltd, 2023.

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31

Arbia, Giuseppe, and Roberto Patuelli. Spatial Econometric Interaction Modelling. Springer, 2016.

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32

Arbia, Giuseppe, and Roberto Patuelli. Spatial Econometric Interaction Modelling. Springer London, Limited, 2016.

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33

Arbia, Giuseppe, and Roberto Patuelli. Spatial Econometric Interaction Modelling. Springer, 2018.

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34

Spatial econometrics : methods and models. Kluwer Academic, 1988.

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35

Spatial econometrics: Methods and models. Kluwer Academic Publishers, 1988.

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36

Anselin, L. Spatial Econometrics: Methods and Models. Springer, 2013.

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37

Spatial and spatiotemporal econometrics. Elsevier JAI, 2005.

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38

Spatial and Spatiotemporal Econometrics. Emerald Publishing Limited, 2004.

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39

Spatial and spatiotemporal econometrics. Elsevier JAI, 2004.

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40

Primer In Spatial Econometrics With Applications In R. Palgrave Macmillan, 2014.

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41

Spatial and Spatiotemporal Econometrics, Volume 18 (Advances in Econometrics). JAI Press, 2004.

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42

Zwart, P. R., M. E. Cavill, and P. W. Newton. Networking Spatial Information Systems. Wiley & Sons, Incorporated, John, 1994.

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43

Spatial econometrics: Methods and applications. Physica-Verlag, 2009.

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44

(Editor), D. A. Griffith, C. Amrhein (Editor), and Jean-Marie Huriót (Editor), eds. Econometric Advances in Spatial Modelling and Methodology: Essays in Honour of Jean Paelinck (Advanced Studies in Theoretical and Applied Econometrics). Springer, 1998.

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45

Gebreab, Samson Y. Statistical Methods in Spatial Epidemiology. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190843496.003.0004.

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Most studies evaluating relationships between neighborhood characteristics and health neglect to examine and account for the spatial dependency across neighborhoods, that is, how neighboring areas are related to each other, although the possible presence of spatial effects (e.g., spatial dependency, spatial heterogeneity) can potentially influence the results in substantial ways. This chapter first discusses the concept of spatial autocorrelation and then provides an overview of different spatial clustering methods, including Moran’s I and spatial scan statistics as well as different models to

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46

FDI in space: Spatial autoregressive relationships in foreign direct investment. National Bureau of Economic Research, 2004.

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47

Spatial Econometric Methods in Agricultural Economics Using R. Taylor & Francis Group, 2023.

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48

Postiglione, Paolo. Spatial Econometric Methods in Agricultural Economics Using R. Taylor & Francis Group, 2021.

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49

Postiglione, Paolo. Spatial Econometric Methods in Agricultural Economics Using R. Taylor & Francis Group, 2021.

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50

Spatial Econometric Methods in Agricultural Economics Using R. Taylor & Francis Group, 2021.

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