References
- Aigner, D., Lovell, C., Schmidt, P. (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics 6(1):21–37. doi:10.1016/0304-4076(77)90052-5
- Alvarez, A., Amsler, C., Orea, L., Schmidt, P. (2006). Interpreting and testing the scaling property in models where inefficiency depends on firm characteristics. Journal of Productivity Analysis 25(3):201–212. doi:10.1007/s11123-006-7639-3
- Arellano, M., Bonhomme, S. (2009). Identifying distributional characteristics in random coefficients panel data models. The Review of Economic Studies, 79(3):987–1020.
- Basu, A. P. (1988). 23 Multivariate exponential distributions and their applications in reliability. In Handbook of Statistics. Amsterdam, The Netherlands: Elsevier, pp. 467–477.
- Battese, G. E., Coelli, T. J. (1988). Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data. Journal of Econometrics 38(3):387–399. doi:10.1016/0304-4076(88)90053-X
- Belotti, F., Daidone, S., Ilardi, G., Atella, V. (2013). Stochastic frontier analysis using stata. The Stata Journal: Promoting Communications on Statistics and Stata 13(4):719–758. doi:10.1177/1536867X1301300404
- Belotti, F., Ilardi, G. (2018). Consistent inference in fixed-effects stochastic frontier models. Journal of Econometrics 202(2):161–177. doi:10.1016/j.jeconom.2017.09.005
- Bonhomme, S., Robin, J.-M. (2010). Generalized non-parametric deconvolution with an application to earnings dynamics. Review of Economic Studies 77(2):491–533. doi:10.1111/j.1467-937X.2009.00577.x
- Cai, J., Horrace, W. C., Parmeter, C. F. (2021). Density deconvolution with laplace errors and unknown variance. Journal of Productivity Analysis 56(2-3):103–113. doi:10.1007/s11123-021-00612-1
- Chen, Y.-Y., Schmidt, P., Wang, H.-J. (2014). Consistent estimation of the fixed effects stochastic frontier model. Journal of Econometrics 181(2):65–76. doi:10.1016/j.jeconom.2013.05.009
- Cornwell, C., Schmidt, P., Sickles, R. C. (1990). Production frontiers with cross-sectional and time-series variation in efficiency levels. Journal of Econometrics 46(1-2):185–200. doi:10.1016/0304-4076(90)90054-W
- Evdokimov, K. (2010). Identification and Estimation of a Nonparametric Panel Data Model With Unobserved Heterogeneity, unpublished manuscript, Department of Economics, Princeton University, Princeton, NJ.
- Evdokimov, K., White, H. (2012). Some extensions of a Lemma of Kotlarski. Econometric Theory 28(4):925–932. doi:10.1017/S0266466611000831.
- Fan, J. (1993). Local linear regression smoothers and their minimax efficiencies. Annals of Statistics 21:196–216.
- Fan, Y., Li, QI., Weersink, A. (1996). Semiparametric estimation of stochastic production frontier models. Journal of Business & Economic Statistics 14(4):460–468. doi:10.1080/07350015.1996.10524675
- Florens, J. L., Simar, L., Van Keilegom, I. (2019). Estimation of the boundary of a variable observed with symmetric error. Journal of the American Statistical Association 115(529):425–441. doi:10.1080/01621459.2018.1555093.
- Geweke, J. (1991). Efficient simulation from the multivariate normal and student t distributions subject to linear constraints and the evaluation of constraint probabilities. In:Keramidas, E.M., eds., Computing Science and Statistics: Proceedings of the 23rd Symposium on the Interface. Fairfax Station, Virginia, US: Interface Foundation of North America, Inc., pp. 571–578.
- Greene, W. (2005a). Reconsidering heterogeneity in panel data estimators of the stochastic frontier model. Journal of Econometrics 126(2):269–303. doi:10.1016/j.jeconom.2004.05.003.
- Greene, W. (2005b). Fixed and random effects in stochastic frontier models. Journal of Productivity Analysis 23(1):7–32. doi:10.1007/s11123-004-8545-1.
- Hall, P., Horowitz, J. (2013). A simple bootstrap method for constructing nonparametric confidence bands for functions. Annals of Statistics 41(1):1892–1921.
- Han, C., Orea, L., Schmidt, P. (2005). Estimation of a panel data model with parametric temporal variation in individual effects. Journal of Econometrics 126(2):241–267. doi:10.1016/j.jeconom.2004.05.002
- Henderson, D. J., Carroll, R. J., Li, Q. (2008). Nonparametric estimation and testing of fixed effects panel data models. Journal of Econometrics 144(1):257–275. doi:10.1016/j.jeconom.2008.01.00519444335.
- Ju, G., Gan, L., Li, Q. (2017). Nonparametric panel estimation of labor supply. Journal of Business & Economic Statistics 37(2):260–274. doi:10.1080/07350015.2017.1321546.
- Kennan, J., Walker, J. R. (2011). The effect of expected income on individual migration decisions. Econometrica, 79(1):211–251.
- Kotlarski, I. (1967). On characterizing the gamma and the normal distribution. Pacific Journal of Mathematics 20(1):69–76. doi:10.2140/pjm.1967.20.69
- Krasnokutskaya, E. (2011). Identification and estimation of auction models with unobserved heterogeneity. The Review of Economic Studies 78(1):293–327. doi:10.1093/restud/rdq004
- Kumbhakar, S. C. (1990). Production frontiers, panel data, and time-varying technical inefficiency. Journal of Econometrics 46(1-2):201–211. doi:10.1016/0304-4076(90)90055-X
- Kumbhakar, S. C., Park, B. U., Simar, L., Tsionas, E. G. (2007). Nonparametric stochastic frontiers: A local maximum likelihood approach. Journal of Econometrics 137(1):1–27. doi:10.1016/j.jeconom.2006.03.006
- Lee, Y. H., Schmidt, P. (1993). A production frontier model with flexible temporal variation in technical efficiency. In: Fried, H. O., Knox Lovell, C. A., Schmidt, S.S., eds., The Measurement of Productive Efficiency: Techniques and Applications, New York: Oxford University Press, pp. 237–255.
- Lewbel, A. (2007). A local generalized method of moments estimator. Economics Letters 94(1):124–128. doi:10.1016/j.econlet.2006.08.011
- Lewbel, A. (2021). Kotlarski with a factor loading. Journal of Econometrics 229(1):176–179. doi:10.1016/j.jeconom.2020.12.012.
- Li, T., Perrigne, I., Vuong, Q. (2000). Conditionally independent private information in OCS wildcat auctions. Journal of Econometrics 98(1):129–161. doi:10.1016/S0304-4076(99)00081-0.
- Li, T., Vuong, Q. (1998). Nonparametric estimation of the measurement error model using multiple indicators. Journal of Multivariate Analysis 65(2):139–165. doi:10.1006/jmva.1998.1741.
- Li, Q., Racine, J. S. (2007). Nonparametric Econometrics: Theory and Practice. Princeton, New Jersey, US: Princeton University Press. 13: 978-0691121611.
- Li, Y., Wang, N., Hong, M., Turner, N. D., Lupton, J. R., Carroll, R. J. (2007). Nonparametric estimation of correlation functions in longitudinal and spatial data with application to coloncarcinogenesis experiments. Annals of Statistics 35:1608–1642.
- Martins-Filho, C., Yao, F. (2015). Semiparametric stochastic frontier estimation via profile likelihood. Econometric Reviews 34(4):413–451. doi:10.1080/07474938.2013.806729
- Parmeter, C. F., Wang, H.-J., Kumbhakar, S. C. (2017). Nonparametric estimation of the determinants of inefficiency. Journal of Productivity Analysis 47(3):205–221. doi:10.1007/s11123-016-0479-x
- Pitt, M. M., Lee, L.-F. (1981). The measurement and sources of technical inefficiency in the indonesian weaving industry. Journal of Development Economics 9(1):43–64. doi:10.1016/0304-3878(81)90004-3
- Schennach, S. M. (2004). Estimation of nonlinear models with measurement error. Econometrica 72(1):33–75. doi:10.1111/j.1468-0262.2004.00477.x
- Schmidt, P., Sickles, R. C. (1984). Production frontiers and panel data. Journal of Business & Economic Statistics 2(4):367–374. doi:10.1080/07350015.1984.10509410
- Simar, L., Van Keilegom, I., Zelenyuk, V. (2017). Nonparametric least squares methods for stochastic frontier models. Journal of Productivity Analysis 47(3):189–204. doi:10.1007/s11123-016-0474-2
- Waldman, D. M. (1984). Properties of technical efficiency estimators in the stochastic frontier model. Journal of Econometrics 25(3):353–364. doi:10.1016/0304-4076(84)90006-X
- Wang, H.-J., Ho, C.-W. (2010). Estimating fixed-effect panel stochastic frontier models by model transformation. Journal of Econometrics 157(2):286–296. doi:10.1016/j.jeconom.2009.12.006
- Wang, H-J., Schmidt, P. (2002). Journal of Productivity Analysis 18(2):129–144. doi:10.1023/A:1016565719882
- Wang, N. (2003). Marginal nonparametric kernel regression accounting for within-subject correlation. Biometrika 90(1):43–52. doi:10.1093/biomet/90.1.43
- Wang, N., Carroll, R. J., Lin, X. (2005). Efficient semiparametric marginal estimation for longitudinal/clustered data. Journal of the American Statistical Association 100(469):147–157. doi:10.1198/016214504000000629
- Wang, W. S., Schmidt, P. (2009). On the distribution of estimated technical efficiency in stochastic frontier models. Journal of Econometrics 148(1):36–45. doi:10.1016/j.jeconom.2008.08.025
- Wikstrom, D. (2015). Consistent method of moments estimation of the true fixed effects model. Economic Letters, 137:62–69.
- Yao, Q., Tong, H. (1996). Asymmetric least squares regression estimation: A nonparametric approach. Journal of Nonparametric Statistics 6(2-3):273–292. doi:10.1080/10485259608832675
- Yao, F., Zhang, FAN., Kumbhakar, S. C. (2019). Semiparametric smooth coefficient stochastic frontier model with panel data. Journal of Business & Economic Statistics 37(3):556–572. doi:10.1080/07350015.2017.1390467
- Yin, J. X., Geng, Z., Li, R. Z., Wang, H. S. (2010). Nonparametric covariance model. Statistica Sinica, 20(1):469–479.