Semiparametric Spatial Autoregressive Panel Data Model with Fixed Effects and Time-Varying Coefficients

References

• Anselin, L., Florax, R., and Rey, S. J. (2004), Advances in Spatial Econometrics: Methodology, Tools and Applications, Heidelberg: Springer-Verlag.
   Google Scholar
• Arellano, M. (2003), Panel Data Econometrics, Oxford: Oxford University Press.
   Google Scholar
• Baltagi, B. (2008), Econometric Analysis of Panel Data, Chichester: Wiley.
   Google Scholar
• Baltagi, B. H., Blien, U., and Wolf, K. (2012), “A Dynamic Spatial Panel Data Approach to the German Wage Curve,” Economic Modelling, 29(1):12–21. DOI: 10.1016/j.econmod.2010.08.019.
   Web of Science ®Google Scholar
• Baltagi, B. H., Song, S. H., and Koh, W. (2003), “Testing Panel Data Regression Models With Spatial Error Correlation,” Journal of Econometrics, 117, 123–150. DOI: 10.1016/S0304-4076(03)00120-9.
   Web of Science ®Google Scholar
• Benjamini, Y., and Hochberg, Y. (1995), “Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing,” Journal of the Royal Statistical Society, Series B, 57, 289–300. DOI: 10.1111/j.2517-6161.1995.tb02031.x.
   Web of Science ®Google Scholar
• Box, G. E., and Pierce, D. A. (1970), “Distribution of Residual Autocorrelations in Autoregressive-Integrated Moving Average Time Series Models,” Journal of the American Statistical Association, 65, 1509–1526. DOI: 10.1080/01621459.1970.10481180.
   Google Scholar
• Braid, R. M. (2002), “The Spatial Effects of Wage Or Property Tax Differentials, and Local Government Choice Between Tax Instruments,” Journal of Urban Economics, 51, 429–445. DOI: 10.1006/juec.2001.2252.
   Web of Science ®Google Scholar
• Cai, Z. (2007), “Trending Time-Varying Coefficient Time Series Models With Serially Correlated Errors,” Journal of Econometrics, 136, 163–188. DOI: 10.1016/j.jeconom.2005.08.004.
   Web of Science ®Google Scholar
• Chen, J., Gao, J., and Li, D. (2012), “Semiparametric Trending Panel Data Models With Cross-Sectional Dependence,” Journal of Econometrics, 171, 71–85. DOI: 10.1016/j.jeconom.2012.07.001.
   Web of Science ®Google Scholar
• Chen, J., Li, D., and Linton, O. (2019), “A New Semiparametric Estimation Approach for Large Dynamic Covariance Matrices With Multiple Conditioning Variables,” Journal of Econometrics, 212, 155–176s. DOI: 10.1016/j.jeconom.2019.04.025.
   Web of Science ®Google Scholar
• Cliff, A. D., and Ord, J. K. (1973), Spatial Autocorrelation, Monographs in Spatial Environmental Systems Analysis, London: Pion Limited.
   Google Scholar
• Combes, P.-P., Démurger, S., and Li, S. (2017), “Productivity Gains From Agglomeration and Migration in the People’s Republic of China Between 2002 and 2013,” Asian Development Review, 34, 184–200. DOI: 10.1162/adev_a_00099.
   Google Scholar
• Dou, B., Parrella, M. L., and Yao, Q. (2016), “Generalized Yule–Walker Estimation for Spatio-Temporal Models With Unknown Diagonal Coefficients,” Journal of Econometrics, 194, 369–382. DOI: 10.1016/j.jeconom.2016.05.014.
   Web of Science ®Google Scholar
• Fan, J., and Gijbels, I. (1996), Local Polynomial Modelling and its Applications, London: Chapman & Hall/CRC.
   Google Scholar
• Fan, J., and Yao, Q. (2003), Nonlinear Time Series: Nonparametric and Parametric Methods. New York: Springer-Verlag.
   Google Scholar
• Fingleton, B. (2008), “A Generalized Method of Moments Estimator for a Spatial Panel Model With an Endogenous Spatial Lag and Spatial Moving Average Errors,” Spatial Economic Analysis, 3, 27–44. DOI: 10.1080/17421770701774922.
   Web of Science ®Google Scholar
• Gao, J. (2007), Nonlinear Time Series: Semiparametric and Nonparametric Methods, London: Chapman & Hall/CRC.
   Google Scholar
• Hsiao, C. (2014), Analysis of Panel Data, Cambridge: Cambridge University Press.
   Google Scholar
• Im, K. S., Pesaran, M. H., and Shin, Y. (2003), “Testing for Unit Roots in Heterogeneous Panels,” Journal of Econometrics, 115, 53–74. DOI: 10.1016/S0304-4076(03)00092-7.
   Web of Science ®Google Scholar
• Kapoor, M., Kelejian, H. H., and Prucha, I. R. (2007), “Panel Data Models With Spatially Correlated Error Components,” Journal of Econometrics, 140, 97–130. DOI: 10.1016/j.jeconom.2006.09.004.
   Web of Science ®Google Scholar
• 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,” Journal of Real Estate Finance and Economics, 17, 99–121.
   Web of Science ®Google Scholar
• Kelejian, H. H., and Prucha, I. R. (1999), “A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model,” International Economic Review, 40, 509–533. DOI: 10.1111/1468-2354.00027.
   Web of Science ®Google Scholar
• Kelejian, H. H., and Prucha, I. R. (2001), “On the Asymptotic Distribution of the Moran I Test Statistic With Applications,” Journal of Econometrics, 104, 219–257. DOI: 10.1016/S0304-4076(01)00064-1.
   Web of Science ®Google Scholar
• Lee, L.-F. (2004), “Asymptotic Distributions of Quasi-Maximum Likelihood Estimators for Spatial Autoregressive Models,” Econometrica, 72, 1899–1925. DOI: 10.1111/j.1468-0262.2004.00558.x.
   Web of Science ®Google Scholar
• Lee, L.-F., and Yu, J. (2010), “Estimation of Spatial Autoregressive Panel Data Models With Fixed Effects,” Journal of Econometrics, 154, 165–185. DOI: 10.1016/j.jeconom.2009.08.001.
   Web of Science ®Google Scholar
• Lee, L.-F., and Yu, J. (2014), “Efficient GMM Estimation of Spatial Dynamic Panel Data Models With Fixed Effects,” Journal of Econometrics, 180, 174–197.
   Web of Science ®Google Scholar
• LeSage, J., and Pace, R. K. (2009), Introduction to Spatial Econometrics, London: Chapman and Hall/CRC.
   Google Scholar
• Li, D., Chen, J., and Gao, J. (2011), “Non-Parametric Time-Varying Coefficient Panel Data Models With Fixed Effects,” Econometrics Journal, 14, 387–408. DOI: 10.1111/j.1368-423X.2011.00350.x.
   Web of Science ®Google Scholar
• Li, K. (2017), “Fixed-Effects Dynamic Spatial Panel Data Models and Impulse Response Analysis,” Journal of Econometrics, 198, 102–121. DOI: 10.1016/j.jeconom.2017.02.001.
   Web of Science ®Google Scholar
• Li, Q., and Racine, J. S. (2007), Nonparametric Econometrics: Theory and Practice, Princeton, NJ: Princeton University Press.
   Google Scholar
• Malikov, E., and Sun, Y. (2017), “Semiparametric Estimation and Testing of Smooth Coefficient Spatial Autoregressive Models,” Journal of Econometrics, 199, 12–34. DOI: 10.1016/j.jeconom.2017.02.005.
   Web of Science ®Google Scholar
• Miller Jr, R. G. (1966), Simultaneous Statistical Inference, New York: Springer.
   Google Scholar
• Robinson, P. M. (2012), “Nonparametric Trending Regression With Cross-Sectional Dependence,” Journal of Econometrics, 169, 4–14. DOI: 10.1016/j.jeconom.2012.01.005.
   Web of Science ®Google Scholar
• Silvapulle, P., Smyth, R., Zhang, X., and Fenech, J.-P. (2017), “Nonparametric Panel Data Model for Crude Oil and Stock Market Prices in Net Oil Importing Countries,” Energy Economics, 67, 255–267. DOI: 10.1016/j.eneco.2017.08.017.
   Web of Science ®Google Scholar
• Su, L. (2012), “Semiparametric GMM Estimation of Spatial Autoregressive Models,” Journal of Econometrics, 167, 543–560. DOI: 10.1016/j.jeconom.2011.09.034.
   Web of Science ®Google Scholar
• Su, L., and Jin, S. (2010), “Profile Quasi-Maximum Likelihood Estimation of Partially Linear Spatial Autoregressive Models,” Journal of Econometrics, 157, 18–33. DOI: 10.1016/j.jeconom.2009.10.033.
   Web of Science ®Google Scholar
• Su, L., and Ullah, A. (2006), “Profile Likelihood Estimation of Partially Linear Panel Data Models With Fixed Effects,” Economics Letters, 92, 75–81. DOI: 10.1016/j.econlet.2006.01.019.
   Web of Science ®Google Scholar
• Sun, Y. (2016), “Functional-Coefficient Spatial Autoregressive Models With Nonparametric Spatial Weights,” Journal of Econometrics, 195, 134–153. DOI: 10.1016/j.jeconom.2016.07.005.
   Web of Science ®Google Scholar
• Sun, Y., and Malikov, E. (2018), “Estimation and Inference in Functional-Coefficient Spatial Autoregressive Panel Data Models With Fixed Effects,” Journal of Econometrics, 203, 359–378. DOI: 10.1016/j.jeconom.2017.12.006.
   Web of Science ®Google Scholar
• Van Biesebroeck, J. (2015), How Tight is the Link Between Wages and Productivity?: A Survey of the Literature. ILO.
   Google Scholar
• White, H. (1996). Estimation, Inference and Specification Analysis, Cambridge: Cambridge University Press.
   Google Scholar
• Yu, J., De Jong, R., and Lee, L.-F. (2008), “Quasi-Maximum Likelihood Estimators for Spatial Dynamic Panel Data With Fixed Effects When Both n and t Are Large,” Journal of Econometrics, 146, 118–134. DOI: 10.1016/j.jeconom.2008.08.002.
   Web of Science ®Google Scholar
• Zhang, Y., and Shen, D. (2015), “Estimation of Semi-Parametric Varying-Coefficient Spatial Panel Data Models With Random-Effects,” Journal of Statistical Planning and Inference, 159, 64–80. DOI: 10.1016/j.jspi.2014.11.001.
   Web of Science ®Google Scholar