Implementing Nonparametric and Semiparametric Estimators

Citations

Cited by:

1. Florens, Jean-Pierre & Sokullu, Senay, 2017. "Nonparametric Estimation Of Semiparametric Transformation Models," Econometric Theory, Cambridge University Press, vol. 33(4), pages 839-873, August.
   • Senay Sokullu, 2012. "Nonparametric Estimation of Semiparametric Transformation Models," Bristol Economics Discussion Papers 12/625, School of Economics, University of Bristol, UK.
2. Heckman, James J. & Schmierer, Daniel, 2010. "Tests of hypotheses arising in the correlated random coefficient model," Economic Modelling, Elsevier, vol. 27(6), pages 1355-1367, November.
   • James J Heckman & Daniel Schmierer, 2010. "Tests of Hypotheses Arising In the Correlated Random Coefficient Model," Working Papers 201045, Geary Institute, University College Dublin.
   • James J. Heckman & Daniel A. Schmierer, 2010. "Tests of Hypotheses Arising in the Correlated Random Coefficient Model," NBER Working Papers 16421, National Bureau of Economic Research, Inc.
   • Heckman, James J. & Schmierer, Daniel, 2010. "Tests of Hypotheses Arising in the Correlated Random Coefficient Model," IZA Discussion Papers 5205, Institute of Labor Economics (IZA).
3. Dennis Kristensen, 2009. "Semiparametric modelling and estimation (in Russian)," Quantile, Quantile, issue 7, pages 53-83, September.
4. Kloss, Mathias & Petrick, Martin, 2014. "The productivity of family and hired labour in EU arable farming," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 183041, European Association of Agricultural Economists.
   • Kloss, Mathias & Petrick, Martin, 2018. "The productivity of family and hired labour in EU arable farming," IAMO Discussion Papers 174, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).
   • Kloss, Mathias & Petrick, Martin, 2018. "The productivity of family and hired labour in EU arable farming," IAMO Discussion Papers 274820, Institute of Agricultural Development in Transition Economies (IAMO).
   • Kloss, Mathias & Petrick, Martin, 2014. "The Productivity of Family and Hired Labour in EU Arable Farming," 54th Annual Conference, Goettingen, Germany, September 17-19, 2014 187353, German Association of Agricultural Economists (GEWISOLA).
5. Jean‐Pierre Florens & Jan Johannes & Sébastien Van Bellegem, 2012. "Instrumental regression in partially linear models," Econometrics Journal, Royal Economic Society, vol. 15(2), pages 304-324, June.
   • FLORENS, Jean-Pierre & JOHANNES, Jan & VAN BELLEGEM, Sébastien, 2006. "Instrumental regression in partially linear models," LIDAM Discussion Papers CORE 2006025, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
   • Florens, Jean-Pierre & Johannes, Jan & Van Bellegem, Sébastien, 2009. "Instrumental Regression in Partially Linear Models," TSE Working Papers 10-167, Toulouse School of Economics (TSE).
   • Florens, Jean-Pierre & Johannes, Jan & Van Bellegem, Sébastien, 2009. "Instrumental Regression in Partially Linear Models," IDEI Working Papers 613, Institut d'Économie Industrielle (IDEI), Toulouse.
6. Kanaya, Shin, 2017. "Uniform Convergence Rates Of Kernel-Based Nonparametric Estimators For Continuous Time Diffusion Processes: A Damping Function Approach," Econometric Theory, Cambridge University Press, vol. 33(4), pages 874-914, August.
   • Shin Kanaya, 2015. "Uniform Convergence Rates of Kernel-Based Nonparametric Estimators for Continuous Time Diffusion Processes: A Damping Function Approach," CREATES Research Papers 2015-50, Department of Economics and Business Economics, Aarhus University.
7. Manuel E. Lago & Santiago Lago-Peñas & Jorge Martinez-Vazquez, 2024. "On the effects of intergovernmental grants: a survey," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 31(3), pages 856-908, June.
   • Manuel E. Lago & Santiago Lago-Peñas & Jorge Martinez-Vazquez, 2022. "On the effects of intergovernmental grants: a survey," Working Papers. Collection A: Public economics, governance and decentralization 2204, Universidade de Vigo, GEN - Governance and Economics research Network.
   • Manuel E. Lago & Santiago Lago-Penas & Jorge Martinez-Vazquez, 2023. "On the Effects of Intergovernmental Grants: A Survey," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper2310, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
8. Hill, Jonathan B. & Shneyerov, Artyom, 2013. "Are there common values in first-price auctions? A tail-index nonparametric test," Journal of Econometrics, Elsevier, vol. 174(2), pages 144-164.
9. Kristensen, Dennis, 2010. "Pseudo-maximum likelihood estimation in two classes of semiparametric diffusion models," Journal of Econometrics, Elsevier, vol. 156(2), pages 239-259, June.
   • Dennis Kristensen, 2009. "Pseudo-Maximum Likelihood Estimation in Two Classes of Semiparametric Diffusion Models," CREATES Research Papers 2009-41, Department of Economics and Business Economics, Aarhus University.
10. Susanne M Schennach, 2020. "A Bias Bound Approach to Non-parametric Inference," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(5), pages 2439-2472.
    • Susanne M. Schennach, 2015. "A bias bound approach to nonparametric inference," CeMMAP working papers CWP71/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    • Susanne M. Schennach, 2015. "A bias bound approach to nonparametric inference," CeMMAP working papers 71/15, Institute for Fiscal Studies.
11. Chung Choe & Alfonso Flores-Lagunes & Sang-Jun Lee, 2015. "Do dropouts with longer training exposure benefit from training programs? Korean evidence employing methods for continuous treatments," Empirical Economics, Springer, vol. 48(2), pages 849-881, March.
12. Heckman, James J. & Schmierer, Daniel & Urzua, Sergio, 2010. "Testing the correlated random coefficient model," Journal of Econometrics, Elsevier, vol. 158(2), pages 177-203, October.
    • James J. Heckman & Daniel A. Schmierer & Sergio S. Urzua, 2009. "Testing the Correlated Random Coefficient Model," NBER Working Papers 15463, National Bureau of Economic Research, Inc.
    • James J. Heckman & Daniel Schmierer, 2009. "Testing the Correlated Random Coefficient Model," Working Papers 200937, Geary Institute, University College Dublin.
    • Heckman, James J. & Schmierer, Daniel & Urzua, Sergio, 2009. "Testing the Correlated Random Coefficient Model," IZA Discussion Papers 4525, Institute of Labor Economics (IZA).
    • James Heckman & Daniel Schmierer & Sergio Urzua, 2010. "Testing the correlated random coefficient model," CeMMAP working papers CWP10/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
13. Kristensen, Dennis & Shin, Yongseok, 2012. "Estimation of dynamic models with nonparametric simulated maximum likelihood," Journal of Econometrics, Elsevier, vol. 167(1), pages 76-94.
    • Dennis Kristensen & Yongseok Shin, 2008. "Estimation of Dynamic Models with Nonparametric Simulated Maximum Likelihood," CREATES Research Papers 2008-58, Department of Economics and Business Economics, Aarhus University.
14. Orazio Attanasio & Elena Pastorino, 2020. "Nonlinear Pricing in Village Economies," Econometrica, Econometric Society, vol. 88(1), pages 207-263, January.
    • Orazio Attanasio & Elena Pastorino, 2015. "Nonlinear Pricing in Village Economies," NBER Working Papers 21718, National Bureau of Economic Research, Inc.
    • Orazio Attanasio & Elena Pastorino, 2019. "Nonlinear Pricing in Village Economies," Opportunity and Inclusive Growth Institute Working Papers 23, Federal Reserve Bank of Minneapolis.
15. Timothy B. Armstrong & Michal Kolesár, 2018. "Optimal Inference in a Class of Regression Models," Econometrica, Econometric Society, vol. 86(2), pages 655-683, March.
    • Timothy B. Armstrong & Michal Koles�r, 2016. "Optimal Inference in a Class of Regression Models," Cowles Foundation Discussion Papers 2043R, Cowles Foundation for Research in Economics, Yale University, revised May 2017.
    • Timothy B. Armstrong & Michal Koles�r, 2016. "Optimal Inference in a Class of Regression Models," Cowles Foundation Discussion Papers 2043, Cowles Foundation for Research in Economics, Yale University.
    • Timothy B. Armstrong & Michal Koles�r, 2016. "Optimal Inference in a Class of Regression Models," Cowles Foundation Discussion Papers 2043R2, Cowles Foundation for Research in Economics, Yale University, revised Dec 2017.
16. Mogstad, M. & Wiswall, M., 2012. "Instrumental variables estimation with partially missing instruments," Economics Letters, Elsevier, vol. 114(2), pages 186-189.
    • Mogstad, Magne & Wiswall, Matthew, 2010. "Instrumental Variables Estimation with Partially Missing Instruments," IZA Discussion Papers 4689, Institute of Labor Economics (IZA).
17. Leandro M. De Magalhães & Lucas Ferrero, 2009. "Budgetary Separation of Powers in the American States and the Tax Level: A Regression Discontinuity Design," The Centre for Market and Public Organisation 09/225, The Centre for Market and Public Organisation, University of Bristol, UK.
18. Flores-Lagunes, Alfonso & Gonzalez, Arturo & Neumann, Todd C., 2007. "Estimating the Effects of Length of Exposure to a Training Program: The Case of Job Corps," IZA Discussion Papers 2846, Institute of Labor Economics (IZA).
    • Carlos A. Flores & Alfonso Flores-Lagunes & Arturo Gonzalez & Todd C. Neumann, 2009. "Estimating the Effects of Length of Exposure to Training Program: The Case of Job Corps," Working Papers 2010-3, University of Miami, Department of Economics.
    • Alfonso Flores-Lagunes & Arturo Gonzalez & Todd C. Neumann, 2007. "Estimating the Effects of Length of Exposure to a Training Program: The Case of Job Corps," Working Papers 1042, Princeton University, Department of Economics, Industrial Relations Section..
19. Liu, Ruixuan & Yu, Zhengfei, 2022. "Sample selection models with monotone control functions," Journal of Econometrics, Elsevier, vol. 226(2), pages 321-342.
20. Matias D Cattaneo & Michael Jansson & Xinwei Ma, 2019. "Two-Step Estimation and Inference with Possibly Many Included Covariates," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(3), pages 1095-1122.
    • Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2018. "Two-Step Estimation and Inference with Possibly Many Included Covariates," Papers 1807.10100, arXiv.org.
    • Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei, 2019. "Two-Step Estimation and Inference with Possibly Many Included Covariates," University of California at San Diego, Economics Working Paper Series qt86c7x315, Department of Economics, UC San Diego.
    • Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei, 2019. "Two-Step Estimation and Inference with Possibly Many Included Covariates," Department of Economics, Working Paper Series qt86c7x315, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
21. Dorn, Sabrina & Egger, Peter, 2015. "On the distribution of exchange rate regime treatment effects on international trade," Journal of International Money and Finance, Elsevier, vol. 53(C), pages 75-94.
    • Egger, Peter & Dorn, Sabrina, 2011. "On the Distribution of Exchange Rate Regime Treatment Effects on International Trade," CEPR Discussion Papers 8654, C.E.P.R. Discussion Papers.
    • Dorn, Sabrina & Egger, Peter, 2012. "On the Distribution of Exchange Rate Regime Treatment Effects on International Trade," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62054, Verein für Socialpolitik / German Economic Association.
22. Ying Zhu, 2021. "Phase transitions in nonparametric regressions," Papers 2112.03626, arXiv.org, revised Nov 2023.
23. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    • Guido M. Imbens & Jeffrey M. Wooldridge, 2008. "Recent Developments in the Econometrics of Program Evaluation," NBER Working Papers 14251, National Bureau of Economic Research, Inc.
    • Wooldridge, Jeffrey M. & Imbens, Guido, 2009. "Recent Developments in the Econometrics of Program Evaluation," Scholarly Articles 3043416, Harvard University Department of Economics.
    • Guido Imbens & Jeffrey M. Wooldridge, 2008. "Recent developments in the econometrics of program evaluation," CeMMAP working papers CWP24/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    • Imbens, Guido W. & Wooldridge, Jeffrey M., 2008. "Recent Developments in the Econometrics of Program Evaluation," IZA Discussion Papers 3640, Institute of Labor Economics (IZA).
24. Galvao, Antonio F. & Kato, Kengo, 2016. "Smoothed quantile regression for panel data," Journal of Econometrics, Elsevier, vol. 193(1), pages 92-112.
25. Ignacio Moral-Arce & Stefan Sperlich & Ana Fernández-Saínz & Maria Roca, 2012. "Trends in the Gender Pay Gap in Spain: A Semiparametric Analysis," Journal of Labor Research, Springer, vol. 33(2), pages 173-195, June.
26. Sean M. Dougherty & Octavio R. Escobar, 2016. "Could Mexico become the new ‘China’? Policy drivers of competitiveness and productivity," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 13(2), pages 169-198, December.
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28. Gelo, Dambala & Muchapondwa, Edwin & Koch, Steven F., 2016. "Decentralization, market integration and efficiency-equity trade-offs: Evidence from Joint Forest Management in Ethiopian villages," Journal of Forest Economics, Elsevier, vol. 22(C), pages 1-23.
29. James J. Heckman, 2008. "The Principles Underlying Evaluation Estimators with an Application to Matching," Annals of Economics and Statistics, GENES, issue 91-92, pages 9-73.
30. Timothy B. Armstrong, 2014. "A Note on Minimax Testing and Confidence Intervals in Moment Inequality Models," Cowles Foundation Discussion Papers 1975, Cowles Foundation for Research in Economics, Yale University.
31. Rothe, Christoph, 2009. "Semiparametric estimation of binary response models with endogenous regressors," Journal of Econometrics, Elsevier, vol. 153(1), pages 51-64, November.
32. Kristensen, Dennis, 2008. "Estimation of partial differential equations with applications in finance," Journal of Econometrics, Elsevier, vol. 144(2), pages 392-408, June.
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33. Myung Jae Sung, 2014. "Square Density Weighted Average Derivatives Estimation of Single Index Models," Korean Economic Review, Korean Economic Association, vol. 30, pages 301-331.
34. Sergio Parra Cely & Clotilde Mahé, 2020. "Does Internal Displacement Affect Educational Achievement in Host Communities?," DEM Discussion Paper Series 20-05, Department of Economics at the University of Luxembourg.
35. Dennis Kristensen, 2009. "Semiparametric Modelling and Estimation: A Selective Overview," CREATES Research Papers 2009-44, Department of Economics and Business Economics, Aarhus University.
36. Matias D. Cattaneo & Max H. Farrell & Michael Jansson & Ricardo Masini, 2022. "Higher-order Refinements of Small Bandwidth Asymptotics for Density-Weighted Average Derivative Estimators," Papers 2301.00277, arXiv.org, revised Feb 2024.
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40. Armstrong, Timothy B., 2018. "On the choice of test statistic for conditional moment inequalities," Journal of Econometrics, Elsevier, vol. 203(2), pages 241-255.
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41. Zier, Patrick, 2013. "Econometric impact assessment of the Common Agricultural Policy in East German agriculture," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 71, number 71.
42. Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei, 2021. "Local regression distribution estimators," Department of Economics, Working Paper Series qt7416d3x8, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
43. Matias D. Cattaneo & Michael Jansson, 2014. "Bootstrapping Kernel-Based Semiparametric Estimators," CREATES Research Papers 2014-25, Department of Economics and Business Economics, Aarhus University.
44. Gagliardini, Patrick & Ronchetti, Diego, 2013. "Semi-parametric estimation of American option prices," Journal of Econometrics, Elsevier, vol. 173(1), pages 57-82.
45. Pedro Cerqueira, 2013. "A closer look at the world business cycle synchronization," International Economics and Economic Policy, Springer, vol. 10(3), pages 349-363, September.
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51. Heckman, James J., 2010. "The Assumptions Underlying Evaluation Estimators," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 30(2), December.
52. Ying-Ying Lee, 2018. "Partial Mean Processes with Generated Regressors: Continuous Treatment Effects and Nonseparable Models," Papers 1811.00157, arXiv.org.
53. Janys, Lena, 2017. "A General Semiparametric Approach to Inference with Marker-Dependent Hazard Rate Models," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168077, Verein für Socialpolitik / German Economic Association.
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56. Cattaneo, Matias D. & Farrell, Max H., 2013. "Optimal convergence rates, Bahadur representation, and asymptotic normality of partitioning estimators," Journal of Econometrics, Elsevier, vol. 174(2), pages 127-143.
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