Introducción a la econometría espacial: Una aplicación al estudio de la fecundidad en la Argentina usando R.

Herrera Gómez, Marcos and Cid, Juan Carlos and Paz, Jorge Augusto (2012): Introducción a la econometría espacial: Una aplicación al estudio de la fecundidad en la Argentina usando R.

Abstract

Spatial econometrics is a relatively young branch econometric but with a great growth in the last decades. The complexity of spatial analysis and the estimation of spatial models has been the major obstacle for applied studies. The aim of this paper is to contribute to the diffusion of spatial tools developed. Specifically, this paper performs a concise review of the theoretical aspects that involve the spatial treatment. We also present an empirical application of the techniques discussed. Using the statistical program R, we analyze the determinants of fertility in Argentina.

• Item Type: MPRA Paper
• English Title: Introduction to Spatial Econometrics: An application to the study of fertility in Argentina using R.
• Language: Spanish
• Keywords: Econometría Espacial, Autocorrelación Espacial, Fecundidad, Programa Estadístico R
• Subjects: J - Labor and Demographic Economics > J1 - Demographic Economics > J13 - Fertility ; Family Planning ; Child Care ; Children ; Youth; R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R1 - General Regional Economics > R12 - Size and Spatial Distributions of Regional Economic Activity; C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C21 - Cross-Sectional Models ; Spatial Models ; Treatment Effect Models ; Quantile Regressions

References

Aldstadt, J. y A. Getis (2006). “Using AMOEBA to Create a Spatial Weights Matrix and Identify Spatial Clusters,” Geographical Analysis, 38, pp. 327-343.

Alvarez, G., Gómez, A., Lucarini, A., Mario, S. y F. Olmos (2004). “El estudio de la pobreza según el Censo Nacional de Población, Hogares y Viviendas 2001 Indice de Privación Material de los Hogares (IPMH),” DNESyP/DEP/P5/PID, Serie Pobreza, DT Metodológico, Instituto Nacional de Estadística y Censos de la República Argentina (INDEC).

Anselin, L. (1980). “Estimation Methods for Spatial Autoregressive Structures,” Regional Science Dissertation and Monograph Series, Ithaca, New York.

Anselin, L. (1988). Spatial Econometrics: Methods and Models. Dordrecht: Kluwer.

Anselin, L. (1995). “Local Indicators of Spatial association-LISA,” Geographical Analysis, 27, pp. 93-115.

Anselin, L. (2001). “Rao’s Score Test in Spatial Econometrics,” Journal of Statistical Planning and Inferences, 97, pp. 113-139.

Anselin, L. (2002). “Under the Hood: Issues in the Specification and Interpretation of Spatial Regression Models,” Agricultural Economics, 17, pp. 247–267.

Anselin, L. y A. Bera (1998). “Spatial Dependence in Linear Regression Models with an Introduction to Spatial Econometrics,” en A. Ullah y D. Giles (eds.), Handbook of Applied Economic Statistics. New York: Marcel Dekker.

Anselin, L., Bera, A., Florax, R. y M. Yoon (1996). “Simple Diagnostic Tests for Spatial Dependence,” Regional Science and Urban Economics, 26, pp. 77-104.

Anselin, L. y R. Florax (eds.) (1995). New Directions in Spatial Econometrics. Berlin: Springer-Verlag.

Becker, G.S. (1960). “An Economic Analysis of Fertility,” en Demographic and Economic Change in Developed Countries, Princeton, NJ: Princeton University Press.

Bivand, R. S., E. J. Pebesma y V. Gómez-Rubio (2008). Applied Spatial Data Analysis with R. New York: Springer.

Bivand, R. S., W. Müller y M. Reder. (2009). “Power calculations for global and local Moran’s I,” Computational Statistics and Data Analysis, 53, pp. 2859–2872.

Bodson, P. y D. Peeters (1975). “Estimation of the Coefficients of a Linear Regression in the Presence of Spatial Autocorrelation. An Application to a Belgian Labour-Demand Function,” Environment and Planning A, 7, pp. 455-472.

Bryan, K. y C. Zick (2006). The Economic Organization of the Household. 2º Edición. London:Cambridge University Press.

Brock, W. y S. Durlauf (1995). “Discrete choice with social interactions I: Theory”. Working Paper Nº W5291. National Bureau of Economic Research.

Case, A., Rosen, H. y J. Hines (1993). “Budget Spillovers and Fiscal Policy Interdependence: Evidence from the States,” Journal of Public Economics, 52, pp. 285-307.

Chasco Yrigoyen, C. (2003). Econometría Espacial Aplicada a la Predicción-Extrapolación de Datos Microterritoriales. Consejería de Economía e Innovación Tecnológica de la Comunidad de Madrid.

Cleland, J. y C. Wilson (1987). “Demand Theories of the Fertility Transition: An Iconoclastic View,” Population Studies, 41(1), pp. 5-30.

Cliff, A. D. y J. K. Ord (1969). “The problem of Spatial autocorrelation,” en A. J. Scott (ed.), London Papers in Regional Science 1, Studies in Regional Science. London: Pion.

Cliff, A. D. and J. K. Ord (1973). Spatial autocorrelation. London: Pion.

Cliff, A. D. and J. K. Ord (1981). Spatial Processes, Models and Applications. London: Pion.

Cressie, N. (1993). Statistics for Spatial Data. Revised edition. New York: Wiley.

Dacey, M. (1969). “Similarities in the Areal Distributions of Houses in Japan and Puerto Rico,” Area, 3, pp. 35-37.

Davidson, R. y J. MacKinnon (1993). Estimation and Inference in Econometrics. New York: Oxford University Press.

Fernández, E., Mayor, M. y J. Rodríguez (2009). “Estimating Spatial Autoregressive Models by GME-GCE Techniques,” International Regional Science Review, 32, pp. 148-172.

Fischer, M. y A. Getis (eds) (2010). Handbook of Applied Spatial Analysis. Software Tools, Methods ans Applications. Berlin: Springer-Verlag.

Florax, R. y T. de Graaff (2004). “The Performance of Diagnostic Tests for Spatial Dependence in Linear Regression Models: A Meta-analysis of Simulation Studies,” en L. Anselin, R. Florax y S. Rey (eds.), Advances in Spatial Econometrics. Berlin: Springer-Verlag.

Folmer, H. y J. Oud (2008). “How to get rid of W? A Latent Variable Approach to Modeling Spatially Lagged Variables,” Environment and Planning A, 40, pp. 2526-2538.

Geary, R. C. (1954). “The contiguity ratio and statistical mapping,” The Incorporated Statistician, 5, pp. 115–145.

Getis, A. y J. Aldstadt (2004). “Constructing the Spatial Weights Matrix Using a Local Statistic Spatial,” Geographical Analysis, 36, pp. 90-104.

Getis, A. y J. Ord (1992). “The Analysis of Spatial Association by Use of Distance Statistics,” Geographical Analysis, 24, pp. 189–206.

Getis, A. y J. Ord (1996). “Local Spatial Statistics: An Overview,” en Longley, P. y M. Batty (eds), Spatial Analysis: Modelling in a GIS Environment. Cambridge: GeoInformation International.

Goldberger, A. (1991). A Course in Econometrics. Harvard University Press.

Greene, W. (1993). Econometric Analysis. 2º edición. New York: Macmillan.

Haining, R. (2003). Spatial Data Analysis: Theory and Practice. Cambridge: Cambridge University Press.

Hayashi, F. (2000). Econometrics. Princeton University Press.

Kennedy, P. (1998). A Guide to Econometrics. 4º edición. Cambridge: MIT Press.

Knox, P. (1994). Urbanization: An introduction to Urban Geography. Englewood Cliffs, NJ: Prentice Hall.

Krugman, P. (1991). Geography and trade. Cambridge, MA: MIT Press.

Kuznets, S. (1966). Modern Economic Growth: Rate Structure and Spread. New Haven: Yale University Press.

Lancaster, T. (2000). “The incidental parameter problem since 1948,” Journal of Econometrics, 95, pp. 391–413.

Lesage, J. y K. Pace (2009). Introduction to Spatial Econometrics. Boca Raton: CRC Press.

Ma, J., Haining, R. y S. Wise (1997). “SAGE User’s Guide,” Dpto. de Geografía y Sheffield Center for Geographic Information and Spatial Analysis, Universidad de Sheffield.

Manski, C.F. (1995). Identification Problems in the Social Sciences, Cambridge, MA: Harvard University Press.

Mantel, N. (1967). “The Detection of Disease Clustering and a Generalized Regression Approach,” Cancer Research, 27, pp. 209-220.

Molho, I. (1995). “Spatial Autocorrelation in British Unemployment,” Journal of Regional Science, 35, pp. 641-658.

Moran, P. (1948). “The Interpretation of Statistical Maps,” Journal of the Royal Statistical Society B, 10, pp. 243-251.

Moran, P. (1950). “Notes on Continuous Stochastic Phenomena,” Biometrika, 37 (1), pp. 17–23.

Mur, J. y A. Angulo (2009). “Model Selection Strategies in a Spatial Setting,” Regional Science and Urban Economics, 39, pp. 200-213.

Mur, J. y J. Paelinck (2010). “Deriving the W-matrix via P-median Complete Correlation Analysis of Residuals”, The Annals of Regional Science, DOI: 10.1007/s00168-010-0379-3.

Ord, J. y A. Getis (2001). “Testing for local spatial autocorrelation in the presence of global autocorrelation,” Journal of Regional Science, 41, pp. 411–432.

Paelinck, J. y L. Klaassen (1979). Spatial Econometrics. Farnborough: Saxon House.

Racine, J. y R. Hyndman (2002). “Using R to Teach Econometrics,” Journal of Applied Econometrics, 17(2), pp. 149-174.

Ruud, P. (2000). An Introduction to Classical Econometric Theory. Oxford University Press.

Sharlin, A. (1986). “Urban-Rural differences in fertility in Europe during the demographic transition,” en A. Coale y S. Watkins (eds.), The decline of fertility in Europe. Princeton, NJ: Princeton University Press.

Smith, A. (1776). An Inquiry into the Nature and Causes of the Wealth of Nations. E. Cannan (ed), Chicago: The University Press [1976].

Tiefelsdorf M. y D. Griffith (2007). “Semiparametric Filtering of Spatial Autocorrelation: The Eigenvector Approach,” Environment and Planning A, 39(5), pp. 1193-1221.

Tobler, W. (1979). “Cellular Geography,” en S. Gale y G. Olsson (eds.), Philosophy in Geography, pp. 379–386. Dordrecht: Reidel.

Toral, A. (2001). “El Factor Espacial en la Convergencia de las Regiones de la UE: 1980- 1996,” Tesis doctoral, ICADE, Universidad de Comillas. Madrid.

Weeks, J. (2003). “The Role of Spatial Analysis in Demographic Research,” en F. Goodchild y D. Janelle (eds.), Spatially Integrated Social Science: Examples in Best Practice. New York: Oxford University Press.

Weeks, J., Getis, A., Hill, A., Gadalla, M. y T. Rashed (2004). “The Fertility Transition in Egypt: Intraurban Patterns in Cairo,” Annals of the Association of American Geographers, 94(1), pp. 74–93.