IDEAS home Printed from https://ideas.repec.org/r/cup/etheor/v7y1991i03p307-340_00.html
   My bibliography  Save this item

Adaptive Rules for Seminonparametric Estimators That Achieve Asymptotic Normality

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Gao, Jiti & Tong, Howell & Wolff, Rodney, 2002. "Model Specification Tests in Nonparametric Stochastic Regression Models," Journal of Multivariate Analysis, Elsevier, vol. 83(2), pages 324-359, November.
  2. Serletis, Apostolos & Shahmoradi, Asghar, 2010. "Consumption effects of government purchases," Journal of Macroeconomics, Elsevier, vol. 32(3), pages 892-905, September.
  3. Bernardo Maggi & Stefania P. S. Rossi, 2003. "An efficiency analysis of banking systems: a comparison of European and United States large commercial banks using different functional forms," Vienna Economics Papers 0306, University of Vienna, Department of Economics.
  4. Carlos Renato De Melo Castro & Geraldo Da Silva E Souza & Maria Eduarda Tannuri-Pianto, 2016. "Gastos Em Educação: Mais Recursos Sem Gestão?," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 072, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
  5. Kyoo il Kim, 2006. "Uniform Convergence Rate of the SNP Density Estimator and Testing for Similarity of Two Unknown Densities," Working Papers 20-2006, Singapore Management University, School of Economics.
  6. Guohua Feng & Apostolos Serletis, 2009. "Efficiency and productivity of the US banking industry, 1998-2005: evidence from the Fourier cost function satisfying global regularity conditions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(1), pages 105-138.
  7. Barnett, William A. & Serletis, Apostolos, 2008. "Consumer preferences and demand systems," Journal of Econometrics, Elsevier, vol. 147(2), pages 210-224, December.
  8. Chen, Heng Z. & Randall, Alan, 1997. "Semi-nonparametric estimation of binary response models with an application to natural resource valuation," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 323-340.
  9. Newey, Whitney K., 1997. "Convergence rates and asymptotic normality for series estimators," Journal of Econometrics, Elsevier, vol. 79(1), pages 147-168, July.
  10. Belloni, Alexandre & Chernozhukov, Victor & Chetverikov, Denis & Kato, Kengo, 2015. "Some new asymptotic theory for least squares series: Pointwise and uniform results," Journal of Econometrics, Elsevier, vol. 186(2), pages 345-366.
  11. Fenton, Victor M. & Gallant, A. Ronald, 1996. "Qualitative and asymptotic performance of SNP density estimators," Journal of Econometrics, Elsevier, vol. 74(1), pages 77-118, September.
  12. Bernardo Maggi & Marco Guida, 2011. "Modelling non-performing loans probability in the commercial banking system: efficiency and effectiveness related to credit risk in Italy," Empirical Economics, Springer, vol. 41(2), pages 269-291, October.
  13. Serletis, Apostolos & Shahmoradi, Asghar, 2008. "Semi-nonparametric estimates of interfuel substitution in U.S. energy demand," Energy Economics, Elsevier, vol. 30(5), pages 2123-2133, September.
  14. Byunghoon Kang, 2018. "Inference in Nonparametric Series Estimation with Specification Searches for the Number of Series Terms," Working Papers 240829404, Lancaster University Management School, Economics Department.
  15. Harry J. Paarsch & Bjarne Brendstrup, 2004. "Nonparametric Identification and Estimation of Multi-Unit, Sequential, Oral, Ascending-Price Auctions With Asymmetric Bidders," Working Papers 2004.11, Fondazione Eni Enrico Mattei.
  16. Mark Jensen, 1997. "Revisiting the flexibility and regularity properties of the asymptotically ideal production model," Econometric Reviews, Taylor & Francis Journals, vol. 16(2), pages 179-203.
  17. Elisa Fusco & Bernardo Maggi, 2016. "Bank Financial world crisis: Inefficiencies and Responsibilities," DSS Empirical Economics and Econometrics Working Papers Series 2016/2, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
  18. Gilleskie, Donna B. & Mroz, Thomas A., 2004. "A flexible approach for estimating the effects of covariates on health expenditures," Journal of Health Economics, Elsevier, vol. 23(2), pages 391-418, March.
  19. Mroz, Thomas A., 1999. "Discrete factor approximations in simultaneous equation models: Estimating the impact of a dummy endogenous variable on a continuous outcome," Journal of Econometrics, Elsevier, vol. 92(2), pages 233-274, October.
  20. Chen, Xiaohong & Liao, Zhipeng, 2014. "Sieve M inference on irregular parameters," Journal of Econometrics, Elsevier, vol. 182(1), pages 70-86.
  21. Carrasco, Marine, 2012. "A regularization approach to the many instruments problem," Journal of Econometrics, Elsevier, vol. 170(2), pages 383-398.
  22. Brendstrup, Bjarne & Paarsch, Harry J., 2006. "Identification and estimation in sequential, asymmetric, English auctions," Journal of Econometrics, Elsevier, vol. 134(1), pages 69-94, September.
  23. Byunghoon Kang, 2017. "Inference in Nonparametric Series Estimation with Data-Dependent Undersmoothing," Working Papers 170712442, Lancaster University Management School, Economics Department.
  24. Altunbas, Yener & Goddard, John & Molyneux, Phil, 1999. "Technical change in banking," Economics Letters, Elsevier, vol. 64(2), pages 215-221, August.
  25. Fleissig, Adrian R. & Jones, Barry E., 2023. "U.K. household-sector money demand during Brexit and the pandemic," Economic Modelling, Elsevier, vol. 123(C).
  26. Damian Kozbur, 2013. "Inference in additively separable models with a high-dimensional set of conditioning variables," ECON - Working Papers 284, Department of Economics - University of Zurich, revised Apr 2018.
  27. Altunbas, Y. & Gardener, E. P. M. & Molyneux, P. & Moore, B., 2001. "Efficiency in European banking," European Economic Review, Elsevier, vol. 45(10), pages 1931-1955, December.
  28. Tristan D. Skolrud & C. Richard Shumway, 2013. "A Fourier analysis of the US dairy industry," Applied Economics, Taylor & Francis Journals, vol. 45(14), pages 1887-1895, May.
  29. Tristan D. Skolrud, 2017. "Reducing Approximation Error in the Fourier Flexible Functional Form," Econometrics, MDPI, vol. 5(4), pages 1-16, December.
  30. Tai-Hsin Huang & Mei-Hui Wang, 2004. "Estimation of scale and scope economies in multiproduct banking: evidence from the Fourier flexible functional form with panel data," Applied Economics, Taylor & Francis Journals, vol. 36(11), pages 1245-1253.
  31. Anderson, Richard G. & Duca, John V. & Fleissig, Adrian R. & Jones, Barry E., 2019. "New monetary services (Divisia) indexes for the post-war U.S," Journal of Financial Stability, Elsevier, vol. 42(C), pages 3-17.
  32. Coppejans, Mark & Gallant, A. Ronald, 2002. "Cross-validated SNP density estimates," Journal of Econometrics, Elsevier, vol. 110(1), pages 27-65, September.
  33. Elisa Fusco & Bernardo Maggi, 2022. "Computing nonperforming loan prices in banking efficiency analysis," Computational Management Science, Springer, vol. 19(1), pages 1-23, January.
  34. S. Carbo & E. P. M. Gardener & J. Williams, 2003. "A note on technical change in banking: the case of European savings banks," Applied Economics, Taylor & Francis Journals, vol. 35(6), pages 705-719.
  35. Donna B. Gilleskie & Thomas A. Mroz, 2000. "Estimating the Effects of Covariates on Health Expenditures," NBER Working Papers 7942, National Bureau of Economic Research, Inc.
  36. Byunghoon Kang, 2019. "Inference in Nonparametric Series Estimation with Specification Searches for the Number of Series Terms," Papers 1909.12162, arXiv.org, revised Feb 2020.
  37. Yingzhuo Yu & Cesar Escalante & Xiaohui Deng & Jack Houston & Lewell Gunter, 2011. "Analysing scale and scope specialization efficiencies of US agricultural and nonagricultural banks using the Fourier flexible functional form," Applied Financial Economics, Taylor & Francis Journals, vol. 21(15), pages 1103-1116.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.