AMBA OYON, Claude Marius and Mbratana, Taoufiki (2018): Simultaneous Generalized Method of Moments Estimator for Panel Data Models with Spatially Correlated Error Components.
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Abstract
This paper develops estimators for simultaneous equations with spatial autoregressive or spatial moving average error components. We derive a limited information estimator and a full information estimator. We give the simultaneous generalized method of moments to get each component of the variance covariance of the disturbance in spatial autoregressive case as well as spatial moving average case. The results of our Monte Carlo suggest that our estimators are consistent. When we estimate the coefficient of spatial dependence it seems better to use instrumental variables estimator that takes into account simultaneity. We also apply these set of estimators on real data.
Item Type: | MPRA Paper |
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Original Title: | Simultaneous Generalized Method of Moments Estimator for Panel Data Models with Spatially Correlated Error Components |
English Title: | Simultaneous Generalized Method of Moments Estimator for Panel Data Models with Spatially Correlated Error Components |
Language: | English |
Keywords: | Simultaneous; GMM; Panel data; SAR; SMA |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C13 - Estimation: General C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C33 - Panel Data Models ; Spatio-temporal Models |
Item ID: | 84746 |
Depositing User: | Marius Claude OYON AMBA |
Date Deposited: | 21 Feb 2018 15:12 |
Last Modified: | 29 Sep 2019 20:46 |
References: | Anselin, L. (2006). Spatial econometrics in: Mills tc, patterson k (eds) palgrave hand’book of econometrics: Volume 1, econometric theory. Baltagi, B. (2008). Econometric analysis of panel data. John Wiley & Sons. Baltagi, B. H. (1984). A Monte Carlo study for pooling time series of cross-section data in the simultaneous equations model. International Economic Review, pages 603–624. Baltagi, B. H. and Deng, Y. (2015). Ec3sls estimator for a simultaneous system of spatial autoregressive equations with random effects. Econometric Reviews, 34(6-10):659–694. Baltagi, B. H., Egger, P., and Pfaffermayr, M. (2013). A generalized spatial panel data model with random effects. Econometric Reviews, 32(5-6):650–685. Fingleton, B. (2008). A generalized method of moments estimator for a spatial model with moving average errors, with application to real estate prices. Empirical Economics, 34(1):35–57. Kapoor, M., Kelejian, H. H., and Prucha, I. R. (2007). Panel data models with spatially correlated error components. Journal of Econometrics, 140(1):97–130. Kelejian, H. H. and Prucha, I. R. (1998). A generalized spatial two-stage least squares procedure for estimating a spatial autoregressive model with autoregressive disturbances. The Journal of Real Estate Finance and Economics, 17(1):99–121. Kelejian, H. H. and Prucha, I. R. (1999). A generalized moments estimator for the autoregressive parameter in a spatial model. International Economic Review, 40(2):509–533. Kelejian, H. H. and Prucha, I. R. (2004). Estimation of simultaneous systems of spatially interrelated cross sectional equations. Journal of Econometrics, 118(1):27–50. Kelejian, H. H., Prucha, I. R., and Yuzefovich, Y. (2004). Instrumental variable estimation of a spatial autoregressive model with autoregressive disturbances: Large and small sample results. In James, P. L. and Kelley, R. P., editors, Spatial and spatiotemporal econometrics, volume 18, pages 163–198. Emerald Group Publishing Limited. Liu, X. (2014). Identification and efcient estimation of simultaneous equations network models. Journal of Business & Economic Statistics, 32(4):516–536. Liu, X. and Saraiva, P. (2017). Gmm estimation of spatial autoregressive models in a system of simultaneous equations with heteroskedasticity. Econometric Reviews, (just-accepted). Prucha, I. R., Drukker, D. M., and Egger, P. H. (2016). Simultaneous equations models with higher-order spatial or social network interactions. Technical report, Working paper, Department of Economics, University of Maryland. http://econweb. umd.edu/ prucha/papers/WP IRP PHE DMD 2016.pdf. Sasser, W. E. (1969). A fnite-sample study of various simultaneous equation estimators...Duke University. Wang, L., Li, K., and Wang, Z. (2014). Quasi maximum likelihood estimation for simultaneous spatial autoregressive models. University Library of Munich, Germany. Yang, K. and Lee, L.-f. (2017). Identification and qml estimation of multivariate and simultaneous equations spatial autoregressive models. Journal of Econometrics, 196(1):196–214. Zenou, Y. (2017). Multivariate choices and identification of social interactions. Journal of Applied Econometrics, pages 1–37. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/84746 |