Partially linear functional-coefficient dynamic panel data models: sieve estimation and specification testing

References

• Acemoglu, D., Johnson, S., Robinson, J., Yared, P. (2008). Income and democracy, The. American Economic Review 98(3):808–842. doi:10.1257/aer.98.3.808
   Web of Science ®Google Scholar
• Ahn, S. C., Schmidt, P. (1995). Efficient estimation of models for dynamic panel data. Journal of Econometrics 68(1):5–27. doi:10.1016/0304-4076(94)01641-C
   Web of Science ®Google Scholar
• Alvarez, J., Arellano, M. (2003). The time series and cross-section asymptotics of dynamic panel data estimator. Econometrica 71(4):1121–1843. doi:10.1111/1468-0262.00441
   Web of Science ®Google Scholar
• An, Y., Hsiao, C., Li, D. (2016). Semiparametric estimation of partially linear varying coefficient panel data models, Advances in Econometrics. Vol. 36, Essays in Honor of Aman Ullah, Bingley: Emerald Group Publishing Limited, 47–65.
   Google Scholar
• Anderson, T. W., Hsiao, C. (1981). Estimation of dynamic models with error components. Journal of the American Statistical Association 76(375):598–606. doi:10.1080/01621459.1981.10477691
   Web of Science ®Google Scholar
• Anderson, T. W., Hsiao, C. (1982). Formulation and estimation of dynamic models using panel data. Journal of Econometrics 18(1):47–82. doi:10.1016/0304-4076(82)90095-1
   Web of Science ®Google Scholar
• Arellano, M., Bond, S. (1991). Some tests of specification for panel data: Monte carlo evidence and an application to employment equations. Review of Economic Studies 58(2):277–297. doi:10.2307/2297968
   Web of Science ®Google Scholar
• Baglan, D. (2010). Efficient estimation of a partially linear dynamic panel data model with fixed effects: an application to unemployment dynamics in the U.S. Working Paper, Washington DC: Department of Economics, Howard University, .
   Google Scholar
• Balestra, P., Nerlove, M. (1966). Pooling cross-section and time series data in the estimation of a dynamic model: the demand for nature gas. Econometrica 34(3):585–612. doi:10.2307/1909771
   Web of Science ®Google Scholar
• Baltagi, B. H., Li, Q. (2002). On instrumental variable estimation of semiparametric dynamic panel data models. Economics Letters 76(1):1–9. doi:10.1016/S0165-1765(02)00025-3
   Web of Science ®Google Scholar
• Cai, Z. (2010). Functional coefficient models for economic and financial data. In: Ferraty, F., and Y. Romain, (eds.) Oxford Handbook of Functional Data Analysis. Oxford: Oxford University Press, 166–186.
   Google Scholar
• Cai, Z., Chen, L., Fang, Y. (2015). Semiparametric estimation of partially varying-coefficient dynamic panel data models. Econometric Reviews 34(6-10):695–719. doi:10.1080/07474938.2014.956569
   Web of Science ®Google Scholar
• Cai, Z., Fang, Y., Lin, M., Su, J. (2010). Semiparametric varying-coefficient instrumental variables models, Working paper, University of Kansas.
   Google Scholar
• Cai, Z., Hong, Y. (2009). Some recent developments in nonparametric finance. Advances in Econometrics 25:379–432.
   Google Scholar
• Cai, Z., Li, Q. (2008). Nonparametric estimation of varying coefficient dynamic panel data models. Econometric Theory 24(5):1321–1342. doi:10.1017/S0266466608080523
   Web of Science ®Google Scholar
• Card, D. (2001). Estimating the return to schooling: progress on some persistent econometric problems. Econometrica 69(5):1127–1160. doi:10.1111/1468-0262.00237
   Web of Science ®Google Scholar
• Cervellati, M., Jung, F., Sunde, U., Vischer, T. (2014). Income and democracy: comment, The. American Economic Review 104(2):707–719. doi:10.1257/aer.104.2.707
   Web of Science ®Google Scholar
• Chen, X. (2007). Large sample sieve estimation of semi-nonparametric models, In Heckman, J.J., Leamer, E., eds., Handbook of Econometrics, Vol. 6, pp. 5549–5632, North Holland, Amsterdam: Elsevier.
   Google Scholar
• Chen, X., Hong, H., Tamer, E. (2005). Measurement error models with auxiliary data. Review of Economic Studies72(2):343–366. doi:10.1111/j.1467-937X.2005.00335.x
   Web of Science ®Google Scholar
• Chen, R., Liu, L.-M. (2001). Functional coefficient autoregressive models: estimation and tests of hypotheses. Journal of Time Series Analysis 22(2):151–173. doi:10.1111/1467-9892.00217
   Web of Science ®Google Scholar
• Chen, X., Shen, X. (1998). Sieve extremum estimators for weakly dependent data. Econometrica 66(2):289–314. doi:10.2307/2998559
   Web of Science ®Google Scholar
• Chen, R., Tsay, R. (1993). Functional-coefficient autoregressive models. Journal of the American Statistical Association 88(421):298–308. doi:10.2307/2290725
   Web of Science ®Google Scholar
• de Jong, P. (1987). A Central limit theorem for generalized quadratic forms. Probability Theory and Related Fields75(2):261–277. doi:10.1007/BF00354037
   Web of Science ®Google Scholar
• de Jong, R. M. (2002). A note on “convergence rates and asymptotic normality for series estimators”: uniform convergence rates. Journal of Econometrics 111(1):1–9. doi:10.1016/S0304-4076(02)00113-6
   Web of Science ®Google Scholar
• Dechevsky, L., Penev, S. (1997). On shape-preserving probabilistic wavelet approximators. Stochastic Analysis and Applications 15(2):187–215. doi:10.1080/07362999708809471
   Web of Science ®Google Scholar
• Feng, G., Gao, J., Peng, B., Zhang, X. (2017). A varying-coefficient panel data model with fixed effects: theory and an application to U.S. commercial banks. Journal of Econometrics 196(1):68–82. doi:10.1016/j.jeconom.2016.09.011
   Web of Science ®Google Scholar
• Gao, J. (2007). Nonlinear Time Series: Semiparametric and Nonparametric Methods. Boca Raton, FL: Chapman & Hall/CRC Press.
   Google Scholar
• Hansen, B. (2000). Testing for structural change in conditional models. Journal of Econometrics 97(1):93–115. doi:10.1016/S0304-4076(99)00068-8
   Web of Science ®Google Scholar
• Hardle, W., Mammen, E. (1993). Comparing nonparametric versus parametric regression fits. The Annals of Statistics21(4):1926–1947. doi:10.1214/aos/1176349403
   Web of Science ®Google Scholar
• Hong, Y., White, H. (1995). Consistent specification testing via nonparametric series regressions. Econometrica 63(5):1133–1159. doi:10.2307/2171724
   Web of Science ®Google Scholar
• Horn, R., Johnson, C. (2012). Matrix Analysis. New York, NY: Cambridge University Press.
   Google Scholar
• Juodis. A. (2013). A note on bias-corrected estimation in dynamic panel data models. Economics Letters 118 (3):435–438. doi:10.1016/j.econlet.2012.12.013
   Google Scholar
• Kottaridi, C., Stengos, T. (2010). Foreign direct investment, human Capital and nonlinearities in economic growth. Journal of Macroeconomics 32(3):858–871. doi:10.1016/j.jmacro.2010.01.004
   Web of Science ®Google Scholar
• Lee, Y. (2014). Nonparametric estimation of dynamic panel models with fixed effects. Econometric Theory30(6):1315–1347. doi:10.1017/S0266466614000188
   Web of Science ®Google Scholar
• Li, Q., Huang, C., Li, D., Fu, T.-T. (2002). Semiparametric smooth coefficient models. Journal of Business & Economic Statistics 20(3):412–422. doi:10.1198/073500102288618531
   Web of Science ®Google Scholar
• Li, Q., Racine, J. (2007). Nonparametric Econometrics: Theory and Practice. Princeton, NJ: Princeton University Press.
   Google Scholar
• Li, Q., Ullha, A. (1998). Estimating partially linear models with one-way error components. Econometric Reviews 17(2):145–166. doi:10.1080/07474939808800409
   Google Scholar
• Newey, W. K. (1997). Convergence rates and asymptotic normality for series estimators. Journal of Econometrics 79(1):147–168. doi:10.1016/S0304-4076(97)00011-0
   Web of Science ®Google Scholar
• Newey, W. K., Windmeijer, F. (2009). Generalized method of moments with many weak moment conditions. Econometrica 77:687–719.
   Web of Science ®Google Scholar
• Okui, R. (2009). The optimal choice of moments in dynamic panel data models. Journal of Econometrics 151(1):1–16. doi:10.1016/j.jeconom.2009.04.002
   Web of Science ®Google Scholar
• Robinson, J. (2006). Economic development and democracy. Annual Review of Political Science9(1):503–527. doi:10.1146/annurev.polisci.9.092704.171256
   Web of Science ®Google Scholar
• Rodriguez-Poo, J. M., Soberón, A. (2015). Nonparametric estimation of fixed effects panel data varying coefficient models. Journal of Multivariate Analysis 133:95–122. doi:10.1016/j.jmva.2014.09.008
   Web of Science ®Google Scholar
• Schultz, T. P. (2003). Human Capital, schooling and health. Economics and Human biology1(2):207–221. doi:10.1016/S1570-677X(03)00035-2
   PubMed Web of Science ®Google Scholar
• Su, L., Hoshino, T. (2016). Sieve instrumental variable quantile regression estimation of functional coefficient models. Journal of Econometrics 191(1):231–254. doi:10.1016/j.jeconom.2015.10.006
   Web of Science ®Google Scholar
• Su, L., Jin, S. (2012). Sieve estimation of panel data models with cross section dependence. Journal of Econometrics 169(1):34–47. doi:10.1016/j.jeconom.2012.01.006
   Web of Science ®Google Scholar
• Su, L., Lu, X. (2013). Nonparametric dynamic panel data models: Kernel estimation and specification testing. Journal of Econometrics 176(2):112–133. doi:10.1016/j.jeconom.2013.04.020
   Web of Science ®Google Scholar
• Su, L., Murtazashvili, I., Ullah, A. (2013). Local linear GMM estimation of functional coefficient IV models with application to the estimation of rate of return to schooling. Journal of Business & Economic Statistics 31(2):184–207. doi:10.1080/07350015.2012.754314
   Web of Science ®Google Scholar
• Sun, Y., Carroll, R., Li, D. (2009). Semiparametric estimation of fixed effects panel data with smooth coefficient models. Advances in Econometrics 25:101–130.
   Google Scholar
• Su, L., Zhang, Y. (2016). Semiparametric estimation of partially linear dynamic panel data models with fixed effects. In Advances in Econometrics. Volume 36, Essays in Honor of Aman Ullah, Bingley: Emerald Group Publishing Limited, 137–204.
   Google Scholar
• Tran, K. C. (2014). Nonparametric estimation of functional-coefficient partially linear dynamic panel data model with fixed effects. Economics Bulletin 34:1751–1761.
   Google Scholar
• Zhou, B., You, J., Xu, Q., Chen, G. (2010). Weighted profile least squares estimation for a panel data varying-coefficient partially linear model. Chinese Annals of Mathematics, Series B 31(2):247–272. doi:10.1007/s11401-008-0153-3
   Web of Science ®Google Scholar