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GMM Estimation of Lattice Models Using Panel Data: Application

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Author Info
Théophile Azomahou
Abstract

We propose an empirical application of lattice models to actual household-level data based on the generalized method of moments. We take advantage of the two dimensional structure of panel data to construct a lattice specification. Then, a class of nonparametric, positive semidefinite covariance matrix estimators that allow for a general form of spatial dependence characterized by a metric of economic distance is introduced. This framework is applied to estimating spatial patterns in the residential demand for drinking water. Estimation results indicate that accounting for spatial dependence yields efficient estimate of the asymptotic variance matrix. Compared to non-spatial strategies, spatial dependence implies higher standard errors for all parameter estimates so as to strongly modify patterns of significance.

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Paper provided by Bureau d'Economie Théorique et Appliquée, ULP, Strasbourg in its series Working Papers of BETA with number 2001-09.

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Date of creation: 2001
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Handle: RePEc:ulp:sbbeta:2001-09

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Related research
Keywords: Lattice models; Spatial dependence; Nonparametric covariance matrix estimation; Residential demand for water;

Find related papers by JEL classification:
C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods
C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data
D10 - Microeconomics - - Household Behavior - - - General

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  1. Clark, Peter K, 1973. "A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices," Econometrica, Econometric Society, vol. 41(1), pages 135-55, January. [Downloadable!] (restricted)
  2. Conrad, Klaus & Seitz, Helmut, 1997. "Infrastructure provision and international market share rivalry," Regional Science and Urban Economics, Elsevier, vol. 27(6), pages 715-734, November. [Downloadable!] (restricted)
  3. Andrews, Donald W K, 1991. "Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation," Econometrica, Econometric Society, vol. 59(3), pages 817-58, May. [Downloadable!] (restricted)
    Other versions:
  4. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January. [Downloadable!] (restricted)
  5. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July. [Downloadable!] (restricted)
  6. Maital, Shlomo, 1978. "Multidimensional scaling : Some econometric applications," Journal of Econometrics, Elsevier, vol. 8(1), pages 33-46, August. [Downloadable!] (restricted)
  7. White, Halbert & Domowitz, Ian, 1984. "Nonlinear Regression with Dependent Observations," Econometrica, Econometric Society, vol. 52(1), pages 143-61, January. [Downloadable!] (restricted)
  8. Moulton, Brent R, 1990. "An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Unit," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 334-38, May. [Downloadable!] (restricted)
  9. Nikolaus Hautsch & Stefan Klotz, 2001. "Estimating the Neighborhood Influence on Decision Makers: Theory and an Application on the Analysis of Innovation Decisions," CoFE Discussion Paper 01-04, Center of Finance and Econometrics, University of Konstanz. [Downloadable!]
    Other versions:
  10. Case, Anne C, 1991. "Spatial Patterns in Household Demand," Econometrica, Econometric Society, vol. 59(4), pages 953-65, July. [Downloadable!] (restricted)
  11. Case, Anne C. & Rosen, Harvey S. & Hines, James Jr., 1993. "Budget spillovers and fiscal policy interdependence : Evidence from the states," Journal of Public Economics, Elsevier, vol. 52(3), pages 285-307, October. [Downloadable!] (restricted)
  12. Chamberlain, Gary, 1984. "Panel data," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 22, pages 1247-1318 Elsevier. [Downloadable!] (restricted)
  13. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November. [Downloadable!] (restricted)
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