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Linear Inverse Problems in Structural Econometrics Estimation Based on Spectral Decomposition and Regularization
In: Handbook of Econometrics
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Cited by:
- Frédérique Fève & Jean-Pierre Florens, 2010.
"The practice of non-parametric estimation by solving inverse problems: the example of transformation models,"
Econometrics Journal, Royal Economic Society, vol. 13(3), pages 1-27, October.
- Fève, Frédérique & Florens, Jean-Pierre, 2009. "The Practice of Non Parametric Estimation by Solving Inverse Problems: The Example of Transformation Models," TSE Working Papers 10-169, Toulouse School of Economics (TSE).
- Fève, Frédérique & Florens, Jean-Pierre, 2009. "The Practice of Non Parametric Estimation by Solving Inverse Problems: The Example of Transformation Models," IDEI Working Papers 615, Institut d'Économie Industrielle (IDEI), Toulouse.
- Xiaohong Chen & Demian Pouzo, 2015.
"Sieve Wald and QLR Inferences on Semi/Nonparametric Conditional Moment Models,"
Econometrica, Econometric Society, vol. 83(3), pages 1013-1079, May.
- Xiaohong Chen & Demian Pouzo, 2013. "Sieve Wald and QLR Inferences on Semi/nonparametric Conditional Moment Models," Cowles Foundation Discussion Papers 1897RR, Cowles Foundation for Research in Economics, Yale University, revised Nov 2014.
- Xiaohong Chen & Demian Pouzo, 2014. "Sieve Wald and QLR Inferences on Semi/nonparametric Conditional Moment Models," CeMMAP working papers CWP38/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Xiaohong Chen & Demian Pouzo, 2013. "Sieve Wald and QLR Inferences on Semi/nonparametric Conditional Moment Models," Cowles Foundation Discussion Papers 1897R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2014.
- Xiaohong Chen & Demian Pouzo, 2014. "Sieve Wald and QLR Inferences on Semi/nonparametric Conditional Moment Models," Papers 1411.1144, arXiv.org, revised Mar 2015.
- Pierre Chaussé, 2011. "Generalized empirical likelihood for a continuum of moment conditions," Working Papers 1104, University of Waterloo, Department of Economics, revised Oct 2011.
- Davezies, Laurent & Le Barbanchon, Thomas, 2017.
"Regression discontinuity design with continuous measurement error in the running variable,"
Journal of Econometrics, Elsevier, vol. 200(2), pages 260-281.
- Laurent Davezies & Thomas Le Barbanchon, 2014. "Regression Discontinuity Design with Continuous Measurement Error in the Running Variable," Working Papers 2014-27, Center for Research in Economics and Statistics.
- Davezies, Laurent & Le Barbanchon, Thomas, 2017. "Regression Discontinuity Design with Continuous Measurement Error in the Running Variable," IZA Discussion Papers 10801, Institute of Labor Economics (IZA).
- Le Barbanchon, Thomas & Davezies, Laurent, 2017. "Regression Discontinuity Design with Continuous Measurement Error in the Running Variable," CEPR Discussion Papers 11775, C.E.P.R. Discussion Papers.
- Marine Carrasco & Barbara Rossi, 2016.
"In-Sample Inference and Forecasting in Misspecified Factor Models,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 313-338, July.
- Rossi, Barbara & Carrasco, Marine, 2016. "In-sample Inference and Forecasting in Misspecified Factor Models," CEPR Discussion Papers 11388, C.E.P.R. Discussion Papers.
- Marine Carrasco & Barbara Rossi, 2016. "In-sample inference and forecasting in misspecified factor models," Economics Working Papers 1530, Department of Economics and Business, Universitat Pompeu Fabra.
- Srisuma, Sorawoot & Linton, Oliver, 2012.
"Semiparametric estimation of Markov decision processes with continuous state space,"
Journal of Econometrics, Elsevier, vol. 166(2), pages 320-341.
- Oliver Linton & Sorawoot Srisuma, 2010. "Semiparametric Estimation of Markov Decision Processeswith Continuous State Space," STICERD - Econometrics Paper Series 550, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Linton, Oliver & Srisuma, Sorawoot, 2010. "Semiparametric estimation of Markov decision processeswith continuous state space," LSE Research Online Documents on Economics 58187, London School of Economics and Political Science, LSE Library.
- Hiroyuki Kawakatsu, 2022. "Local projection variance impulse response," Empirical Economics, Springer, vol. 62(3), pages 1219-1244, March.
- Xiaohong Chen & Demian Pouzo, 2013. "Sieve Quasi Likelihood Ratio Inference on Semi/nonparametric Conditional Moment Models," Cowles Foundation Discussion Papers 1897, Cowles Foundation for Research in Economics, Yale University.
- 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.
- Fox, Jeremy T. & Kim, Kyoo il & Yang, Chenyu, 2016.
"A simple nonparametric approach to estimating the distribution of random coefficients in structural models,"
Journal of Econometrics, Elsevier, vol. 195(2), pages 236-254.
- Jeremy T. Fox & Kyoo il Kim, 2011. "A Simple Nonparametric Approach to Estimating the Distribution of Random Coefficients in Structural Models," NBER Working Papers 17283, National Bureau of Economic Research, Inc.
- Andrii Babii & Eric Ghysels & Jonas Striaukas, 2022.
"Machine Learning Time Series Regressions With an Application to Nowcasting,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1094-1106, June.
- Andrii Babii & Eric Ghysels & Jonas Striaukas, 2020. "Machine Learning Time Series Regressions with an Application to Nowcasting," Papers 2005.14057, arXiv.org, revised Dec 2020.
- Babii, Andrii & Ghysels, Eric & Striaukas, Jonas, 2021. "Machine Learning Time Series Regressions With an Application to Nowcasting," LIDAM Reprints LFIN 2021010, Université catholique de Louvain, Louvain Finance (LFIN).
- Babii, Andrii & Ghysels, Eric & Striaukas, Jonas, 2021. "Machine Learning Time Series Regressions With an Application to Nowcasting," LIDAM Discussion Papers LFIN 2021004, Université catholique de Louvain, Louvain Finance (LFIN).
- Rahul Singh, 2021. "Kernel Ridge Riesz Representers: Generalization, Mis-specification, and the Counterfactual Effective Dimension," Papers 2102.11076, arXiv.org, revised Jul 2024.
- Marine Carrasco & Guy Tchuente, 2016.
"Efficient Estimation with Many Weak Instruments Using Regularization Techniques,"
Econometric Reviews, Taylor & Francis Journals, vol. 35(8-10), pages 1609-1637, December.
- Guy Tchuente & Marine Carrasco, 2013. "Efficient estimation with many weak instruments using regularization techniques," CIRANO Working Papers 2013s-21, CIRANO.
- Marine Carrasco & Guy Tchuente, 2015. "Efficient estimation with many weak instruments using regularization techniques," Studies in Economics 1517, School of Economics, University of Kent.
- Centorrino, Samuele & Florens, Jean-Pierre, 2021. "Nonparametric Instrumental Variable Estimation of Binary Response Models with Continuous Endogenous Regressors," Econometrics and Statistics, Elsevier, vol. 17(C), pages 35-63.
- Eric Gautier & Stefan Soderlein, 2011. "Estimating the Distribution of Treatment Effects," Working Papers 2011-25, Center for Research in Economics and Statistics.
- Enache, Andreea & Florens, Jean-Pierre & Sbai, Erwann, 2023.
"A functional estimation approach to the first-price auction models,"
Journal of Econometrics, Elsevier, vol. 235(2), pages 1564-1588.
- Florens, Jean-Pierre & Enache, Andreea & Sbaï, Erwann, 2021. "A Functional Estimation Approach to the First-Price Auction Models," TSE Working Papers 21-1264, Toulouse School of Economics (TSE).
- Cui, Liyuan & Hong, Yongmiao & Li, Yingxing, 2021. "Solving Euler equations via two-stage nonparametric penalized splines," Journal of Econometrics, Elsevier, vol. 222(2), pages 1024-1056.
- Fève, Frédérique & Florens, Jean-Pierre, 2014. "Non parametric analysis of panel data models with endogenous variables," Journal of Econometrics, Elsevier, vol. 181(2), pages 151-164.
- Emir Malikov & Shunan Zhao & Subal C. Kumbhakar, 2020.
"Estimation of firm‐level productivity in the presence of exports: Evidence from China's manufacturing,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(4), pages 457-480, June.
- Malikov, Emir & Zhao, Shunan & Kumbhakar, Subal C., 2020. "Estimation of Firm-Level Productivity in the Presence of Exports: Evidence from China's Manufacturing," MPRA Paper 98077, University Library of Munich, Germany.
- Escanciano, Juan Carlos & Hoderlein, Stefan & Lewbel, Arthur & Linton, Oliver & Srisuma, Sorawoot, 2021.
"Nonparametric Euler Equation Identification And Estimation,"
Econometric Theory, Cambridge University Press, vol. 37(5), pages 851-891, October.
- Juan Carlos Escanciano & Stefan Hoderlein & Arthur Lewbel & Oliver Linton & Sorawoot Srisuma, 2010. "Nonparametric Euler Equation Identification and Estimation," Boston College Working Papers in Economics 757, Boston College Department of Economics, revised 15 Mar 2020.
- Escanciano, J C. & Hoderlein, S. & Lewbel, A. & Linton, O. & Srisuma, S., 2020. "Nonparametric Euler Equation Identi?cation and Estimation," Cambridge Working Papers in Economics 2064, Faculty of Economics, University of Cambridge.
- Juan Carlos Escanciano & Stefan Hoderlein & Arthur Lewbel & Oliver Linton & Sorawoot Srisuma, 2015. "Nonparametric Euler equation identification and estimation," CeMMAP working papers CWP61/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Juan Carlos Escanciano & Stefan Hoderlein & Arthur Lewbel & Oliver Linton & Sorawoot Srisuma, 2015. "Nonparametric Euler equation identification and estimation," CeMMAP working papers 61/15, Institute for Fiscal Studies.
- Juan Carlos Escanciano & Stefan Hoderlein & Arthur Lewbel & Oliver Linton, 2015. "Nonparametric Euler Equation Identification andEstimation," Cambridge Working Papers in Economics 1560, Faculty of Economics, University of Cambridge.
- Jarociński, Marek & Marcet, Albert, 2019.
"Priors about observables in vector autoregressions,"
Journal of Econometrics, Elsevier, vol. 209(2), pages 238-255.
- Marek Jarocinski & Albert Marcet, 2013. "Priors about Observables in Vector Autoregressions," Working Papers 684, Barcelona School of Economics.
- Marek Jarocinski & Albert Marcet, 2013. "Priors about Observables in Vector Autoregressions," UFAE and IAE Working Papers 929.13, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
- Samuele CENTORRINO & Jeffrey S. RACINE, 2017.
"Semiparametric Varying Coefficient Models with Endogenous Covariates,"
Annals of Economics and Statistics, GENES, issue 128, pages 261-295.
- S. Centorrino & J. S. Racine, 2016. "Semiparametric Varying Coefficient Models with Endogenous Covariates," Department of Economics Working Papers 2016-02, McMaster University.
- Stéphane Bonhomme & Martin Weidner, 2018.
"Minimizing sensitivity to model misspecification,"
CeMMAP working papers
CWP59/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- St'ephane Bonhomme & Martin Weidner, 2018. "Minimizing Sensitivity to Model Misspecification," Papers 1807.02161, arXiv.org, revised Oct 2021.
- Benatia, David & Carrasco, Marine & Florens, Jean-Pierre, 2017.
"Functional linear regression with functional response,"
Journal of Econometrics, Elsevier, vol. 201(2), pages 269-291.
- David Benatia & Marine Carrasco & Jean-Pierre Florens, 2017. "Functional linear regression with functional response," Post-Print hal-03523162, HAL.
- Chen, Xiaohong & Pouzo, Demian, 2008.
"Estimation of Nonparametric Conditional Moment Models with Possibly Nonsmooth Moments,"
Working Papers
47, Yale University, Department of Economics.
- Xiaohong Chen & Demian Pouzo, 2008. "Estimation of nonparametric conditional moment models with possibly nonsmooth moments," CeMMAP working papers CWP12/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Xiaohong Chen & Demian Pouzo, 2008. "Estimation of Nonparametric Conditional Moment Models with Possibly Nonsmooth Moments," Cowles Foundation Discussion Papers 1650, Cowles Foundation for Research in Economics, Yale University, revised Oct 2008.
- Carrasco, Marine & Kotchoni, Rachidi, 2017.
"Efficient Estimation Using The Characteristic Function,"
Econometric Theory, Cambridge University Press, vol. 33(2), pages 479-526, April.
- Marine Carrasco & Rachidi Kotchoni, 2013. "Efficient Estimation Using the Characteristic Function," Working Papers hal-00867850, HAL.
- Marine Carrasco & Rachidi Kotchoni, 2013. "Efficient estimation using the Characteristic Function," CIRANO Working Papers 2013s-22, CIRANO.
- Marine Carrasco & Rachidi Kotchoni, 2017. "Efficient Estimation Using the Characteristic Function," Post-Print hal-01386060, HAL.
- Jad Beyhum & Elia Lapenta & Pascal Lavergne, 2023. "One-step smoothing splines instrumental regression," Papers 2307.14867, arXiv.org, revised Dec 2024.
- Kotchoni, Rachidi, 2012.
"Applications of the characteristic function-based continuum GMM in finance,"
Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3599-3622.
- Rachidi Kotchoni, 2012. "Applications of the Characteristic Function Based Continuum GMM in Finance," Post-Print hal-00867795, HAL.
- Zheng Fang & Juwon Seo, 2019. "A Projection Framework for Testing Shape Restrictions That Form Convex Cones," Papers 1910.07689, arXiv.org, revised Sep 2021.
- Mavroeidis, Sophocles & Sasaki, Yuya & Welch, Ivo, 2015. "Estimation of heterogeneous autoregressive parameters with short panel data," Journal of Econometrics, Elsevier, vol. 188(1), pages 219-235.
- Andrii Babii & Jean-Pierre Florens, 2017.
"Are Unobservables Separable?,"
Papers
1705.01654, arXiv.org, revised Mar 2021.
- Andrii Babii & Jean-Pierre Florens, 2020. "Are unobservables separable?," Working Papers hal-02532383, HAL.
- Babii, Andrii & Florens, Jean-Pierre, 2017. "Are unobservables separable?," TSE Working Papers 17-802, Toulouse School of Economics (TSE).
- Hoderlein, Stefan & Nesheim, Lars & Simoni, Anna, 2017.
"Semiparametric Estimation Of Random Coefficients In Structural Economic Models,"
Econometric Theory, Cambridge University Press, vol. 33(6), pages 1265-1305, December.
- Stefan Hoderlein & Lars Nesheim & Anna Simoni, 2012. "Semiparametric estimation of random coefficients in structural economic models," CeMMAP working papers 09/12, Institute for Fiscal Studies.
- Stefan Hoderlein & Lars Nesheim & Anna Simoni, 2012. "Semiparametric estimation of random coefficients in structural economic models," CeMMAP working papers CWP09/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Stefan Hoderlein & Lars Nesheim & Anna Simoni, 2017. "Semiparametric Estimation Of Random Coefficients In Structural Economic Models," Post-Print hal-03089886, HAL.
- Stefan Hoderlein & Lars Nesheim & Anna Simoni, 2015. "Semiparametric Estimation of Random Coefficients in Structural Economic Models," Boston College Working Papers in Economics 895, Boston College Department of Economics, revised 01 Feb 2016.
- Jad Beyhum & Jean‐Pierre Florens & Ingrid Van Keilegom, 2023. "Discussion on “Instrumented difference‐in‐differences” by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy, and Dylan S. Small," Biometrics, The International Biometric Society, vol. 79(2), pages 582-586, June.
- Chen, Xiaohong & Pouzo, Demian & Powell, James L., 2019.
"Penalized sieve GEL for weighted average derivatives of nonparametric quantile IV regressions,"
Journal of Econometrics, Elsevier, vol. 213(1), pages 30-53.
- Xiaohong Chen & Demian Pouzo & James L. Powell, 2019. "Penalized Sieve GEL for Weighted Average Derivatives of Nonparametric Quantile IV Regressions," Papers 1902.10100, arXiv.org.
- Daniel Wilhelm, 2015. "Identification and estimation of nonparametric panel data regressions with measurement error," CeMMAP working papers 34/15, Institute for Fiscal Studies.
- St'ephane Bonhomme & Kevin Dano, 2023. "Functional Differencing in Networks," Papers 2307.11484, arXiv.org.
- Yin, Zanhua & Gao, Wei & Tang, Man-Lai & Tian, Guo-Liang, 2013. "Estimation of nonparametric regression models with a mixture of Berkson and classical errors," Statistics & Probability Letters, Elsevier, vol. 83(4), pages 1151-1162.
- Ziyu Wang & Yucen Luo & Yueru Li & Jun Zhu & Bernhard Scholkopf, 2022. "Spectral Representation Learning for Conditional Moment Models," Papers 2210.16525, arXiv.org, revised Dec 2022.
- Babii, Andrii & Ball, Ryan T. & Ghysels, Eric & Striaukas, Jonas, 2023.
"Machine learning panel data regressions with heavy-tailed dependent data: Theory and application,"
Journal of Econometrics, Elsevier, vol. 237(2).
- Andrii Babii & Ryan T. Ball & Eric Ghysels & Jonas Striaukas, 2020. "Machine Learning Panel Data Regressions with Heavy-tailed Dependent Data: Theory and Application," Papers 2008.03600, arXiv.org, revised Nov 2021.
- Fang, Hanming & Tang, Xun, 2014.
"Inference of bidders’ risk attitudes in ascending auctions with endogenous entry,"
Journal of Econometrics, Elsevier, vol. 180(2), pages 198-216.
- Hanming Fang & Xun Tang, 2013. "Inference of Bidders' Risk Attitudes in Ascending Auctions with Endogenous Entry," NBER Working Papers 19435, National Bureau of Economic Research, Inc.
- Daouia, Abdelaati & Florens, Jean-Pierre & Simar, Léopold, 2020.
"Robust frontier estimation from noisy data: A Tikhonov regularization approach,"
Econometrics and Statistics, Elsevier, vol. 14(C), pages 1-23.
- Daouia, Abdelaati & Florens, Jean-Pierre & Simar, Léopold, 2016. "Robust frontier estimation from noisy data: a Tikhonov regularization approach," TSE Working Papers 16-665, Toulouse School of Economics (TSE), revised Jul 2018.
- Abdelaati Daouia & Jean-Pierre Florens & Léopold Simar, 2020. "Robust frontier estimation from noisy data: a Tikhonov regularization approach," Post-Print hal-02573853, HAL.
- Daouia, Abdelaati & Florens, Jean-Pierre & Simar, Leopold, 2016. "Robust frontier estimation from noisy data: a Tikhonov regularization approach," LIDAM Discussion Papers ISBA 2016028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- 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," IDEI Working Papers 613, Institut d'Économie Industrielle (IDEI), Toulouse.
- 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).
- Jean-Pierre FLORENS & Joel L. HOROWITZ & Ingrid VAN KEILEGOM, 2017.
"Bias-Corrected Confidence Intervals in a Class of Linear Inverse Problems,"
Annals of Economics and Statistics, GENES, issue 128, pages 203-228.
- Jean-Pierre Florens & Joel L. Horowitz & Ingred van Keilegom, 2016. "Bias-corrected confidence intervals in a class of linear inverse problems," CeMMAP working papers CWP19/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Christoph Breunig & Xiaohong Chen, 2021. "Simple Adaptive Estimation of Quadratic Functionals in Nonparametric IV Models," Papers 2101.12282, arXiv.org, revised Feb 2022.
- An, Yonghong & Hu, Yingyao, 2012.
"Well-posedness of measurement error models for self-reported data,"
Journal of Econometrics, Elsevier, vol. 168(2), pages 259-269.
- Yonghong An & Yingyao Hu, 2009. "Well-Posedness of Measurement Error Models for Self-Reported Data," Economics Working Paper Archive 556, The Johns Hopkins University,Department of Economics.
- Yonghong An & Yingyao Hu, 2009. "Well-posedness of measurement error models for self-reported data," CeMMAP working papers CWP35/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Chen, Xiaohong & Reiss, Markus, 2011.
"On Rate Optimality For Ill-Posed Inverse Problems In Econometrics,"
Econometric Theory, Cambridge University Press, vol. 27(3), pages 497-521, June.
- Xiaohong Chen & Markus Reiss, 2007. "On rate optimality for ill-posed inverse problems in econometrics," CeMMAP working papers CWP20/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Xiaohong Chen & Markus Reiss, 2007. "On Rate Optimality for Ill-posed Inverse Problems in Econometrics," Cowles Foundation Discussion Papers 1626, Cowles Foundation for Research in Economics, Yale University.
- Dante Amengual & Marine Carrasco & Enrique Sentana, 2017. "Testing Distributional Assumptions Using a Continuum of Moments," Working Papers wp2018_1709, CEMFI.
- Andrii Babii & Jean-Pierre Florens, 2017.
"Is completeness necessary? Estimation in nonidentified linear models,"
Papers
1709.03473, arXiv.org, revised Nov 2021.
- Babii, Andrii & Florens, Jean-Pierre, 2020. "Is completeness necessary? Estimation in nonidentified linear models," TSE Working Papers 20-1091, Toulouse School of Economics (TSE).
- Kitagawa, Toru & Muris, Chris, 2016.
"Model averaging in semiparametric estimation of treatment effects,"
Journal of Econometrics, Elsevier, vol. 193(1), pages 271-289.
- Toru Kitagawa & Chris Muris, 2015. "Model averaging in semiparametric estimation of treatment effects," CeMMAP working papers 46/15, Institute for Fiscal Studies.
- Toru Kitagawa & Chris Muris, 2015. "Model averaging in semiparametric estimation of treatment effects," CeMMAP working papers CWP46/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Severini, Thomas A. & Tripathi, Gautam, 2012.
"Efficiency bounds for estimating linear functionals of nonparametric regression models with endogenous regressors,"
Journal of Econometrics, Elsevier, vol. 170(2), pages 491-498.
- Thomas A. Severini & Gautam Tripathi, 2007. "Efficiency Bounds for Estimating Linear Functionals of Nonparametric Regression Models with Endogenous Regressors," Working papers 2007-18, University of Connecticut, Department of Economics.
- Thomas A. Severini & Gautam Tripathi, 2007. "Efficiency bounds for estimating linear functionals of nonparametric regression models with endogenous regressors," CeMMAP working papers CWP13/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Torsten Heinrich & Jangho Yang & Shuanping Dai, 2020.
"Growth, development, and structural change at the firmlevel: The example of the PR China,"
Chemnitz Economic Papers
040, Department of Economics, Chemnitz University of Technology.
- Heinrich, Torsten & Yang, Jangho & Dai, Shuanping, 2021. "Growth, development, and structural change at the firm level: The example of the PR China," Working Papers on East Asian Studies 128/2021, University of Duisburg-Essen, Institute of East Asian Studies IN-EAST.
- Heinrich, Torsten & Yang, Jangho & Dai, Shuanping, 2020. "Growth, development, and structural change at the firm-level: The example of the PR China," MPRA Paper 105011, University Library of Munich, Germany.
- Torsten Heinrich & Jangho Yang & Shuanping Dai, 2020. "Growth, development, and structural change at the firm-level: The example of the PR China," Papers 2012.14503, arXiv.org.
- Xiaohong Chen & Victor Chernozhukov & Sokbae Lee & Whitney K. Newey, 2014.
"Local Identification of Nonparametric and Semiparametric Models,"
Econometrica, Econometric Society, vol. 82(2), pages 785-809, March.
- Xiaohong Chen & Victor Chernozhukov & Sokbae Lee & Whitney Newey, 2011. "Local Identification of Nonparametric and Semiparametric Models," Cowles Foundation Discussion Papers 1795, Cowles Foundation for Research in Economics, Yale University.
- Xiaohong Chen & Victor Chernozhukov & Sokbae (Simon) Lee & Whitney K. Newey, 2012. "Local identification of nonparametric and semiparametric models," CeMMAP working papers 37/12, Institute for Fiscal Studies.
- Xiaohong Chen & Victor Chernozhukov & Sokbae Lee & Whitney Newey, 2011. "Local Identification of Nonparametric and Semiparametric Models," Cowles Foundation Discussion Papers 1795R, Cowles Foundation for Research in Economics, Yale University, revised Nov 2012.
- Xiaohong Chen & Victor Chernozhukov & Sokbae (Simon) Lee & Whitney K. Newey, 2011. "Local identification of nonparametric and semiparametric models," CeMMAP working papers 17/11, Institute for Fiscal Studies.
- Xiaohong Chen & Victor Chernozhukov & Sokbae (Simon) Lee & Whitney K. Newey, 2011. "Local identification of nonparametric and semiparametric models," CeMMAP working papers CWP17/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Xiaohong Chen & Victor Chernozhukov & Sokbae (Simon) Lee & Whitney K. Newey, 2012. "Local identification of nonparametric and semiparametric models," CeMMAP working papers CWP37/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Guido Imbens & Nathan Kallus & Xiaojie Mao & Yuhao Wang, 2022. "Long-term Causal Inference Under Persistent Confounding via Data Combination," Papers 2202.07234, arXiv.org, revised Aug 2024.
- Andrew Bennett & Nathan Kallus & Xiaojie Mao & Whitney Newey & Vasilis Syrgkanis & Masatoshi Uehara, 2023. "Minimax Instrumental Variable Regression and $L_2$ Convergence Guarantees without Identification or Closedness," Papers 2302.05404, arXiv.org.
- Babii, Andrii, 2020.
"Honest Confidence Sets In Nonparametric Iv Regression And Other Ill-Posed Models,"
Econometric Theory, Cambridge University Press, vol. 36(4), pages 658-706, August.
- Andrii Babii, 2016. "Honest Confidence Sets in Nonparametric IV Regression and Other Ill-Posed Models," Papers 1611.03015, arXiv.org, revised Dec 2020.
- Babii, Andrii, 2017. "Honest confidence sets in nonparametric IV regression and other ill-posed models," TSE Working Papers 17-803, Toulouse School of Economics (TSE).
- Rachidi Kotchoni, 2018.
"Detecting and Measuring Nonlinearity,"
Econometrics, MDPI, vol. 6(3), pages 1-27, August.
- Rachidi Kotchoni, 2018. "Detecting and Measuring Nonlinearity," Post-Print hal-02435765, HAL.
- Joel L. Horowitz, 2013. "Ill-posed inverse problems in economics," CeMMAP working papers CWP37/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Botosaru, Irene & Muris, Chris & Pendakur, Krishna, 2023.
"Identification of time-varying transformation models with fixed effects, with an application to unobserved heterogeneity in resource shares,"
Journal of Econometrics, Elsevier, vol. 232(2), pages 576-597.
- Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Identification of Time-Varying Transformation Models with Fixed Effects, with an Application to Unobserved Heterogeneity in Resource Shares," Papers 2008.05507, arXiv.org, revised Apr 2021.
- Hohage, Thorsten & Maréchal, Pierre & Simar, Léopold & Vanhems, Anne, 2024.
"A Mollifier Approach To The Deconvolution Of Probability Densities,"
Econometric Theory, Cambridge University Press, vol. 40(2), pages 320-359, April.
- Marechal, Pierre & Simar, Leopold & Vanhems, Anne, 2018. "A mollifier approach to the deconvolution of probability densities," LIDAM Discussion Papers ISBA 2018028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Hohage, Thorsten & Maréchal, Pierre & Simar, Léopold & Vanhems, Anne, 2022. "A mollifier approach to the deconvolution of probability densities," LIDAM Reprints ISBA 2022041, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Hohage, Thorsten & Maréchal, Pierre & Simar, Léopold & Vanhems, Anne, 2022. "A mollifier approach to the deconvolution of probability densities," LIDAM Discussion Papers ISBA 2022011, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Maréchal, Pierre & Simar, Léopold & Vanhems, Anne, 2018. "A mollifier approach to the deconvolution of probability densities," TSE Working Papers 18-965, Toulouse School of Economics (TSE).
- Jia Li & Dacheng Xiu, 2016.
"Generalized Method of Integrated Moments for High‐Frequency Data,"
Econometrica, Econometric Society, vol. 84(4), pages 1613-1633, July.
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