Second-order approximation for adaptive regression estimators
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Other versions of this item:
- Linton, Oliver & Xiao, Zhijie, 2001. "Second-Order Approximation For Adaptive Regression Estimators," Econometric Theory, Cambridge University Press, vol. 17(05), pages 984-1024, October.
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- Hidehiko Ichimura & Oliver Linton, 2001.
"Asymptotic expansions for some semiparametric program evaluation estimators,"
CeMMAP working papers
CWP04/01, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ichimura, Hidehiko & Linton, Oliver, 2003. "Asymptotic expansions for some semiparametric program evaluation estimators," LSE Research Online Documents on Economics 2098, London School of Economics and Political Science, LSE Library.
- Hidehiko Ichimura & Oliver Linton, 2003. "Asymptotic Expansions for Some Semiparametric Program Evaluation Estimators," STICERD - Econometrics Paper Series 451, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Cattaneo, Matias D. & Crump, Richard K. & Jansson, Michael, 2012.
"Optimal inference for instrumental variables regression with non-Gaussian errors,"
Journal of Econometrics,
Elsevier, vol. 167(1), pages 1-15.
- Mathias D. Cattaneo & Richard K. Crump & Michael Jansson, 2007. "Optimal Inference for Instrumental Variables Regression with non-Gaussian Errors," CREATES Research Papers 2007-11, Department of Economics and Business Economics, Aarhus University.
- Tamaki, Kenichiro, 2007. "Second order optimality for estimators in time series regression models," Journal of Multivariate Analysis, Elsevier, vol. 98(3), pages 638-659, March.
- Chen, Xiaohong, 2007. "Large Sample Sieve Estimation of Semi-Nonparametric Models," Handbook of Econometrics,in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 76 Elsevier.
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- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
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