Ivan Fernandez-Val
Personal Details
First Name: | Ivan |
Middle Name: | |
Last Name: | Fernandez-Val |
Suffix: | |
RePEc Short-ID: | pfe104 |
| |
http://sites.bu.edu/ivanf/ | |
Terminal Degree: | 2005 Economics Department; Massachusetts Institute of Technology (MIT) (from RePEc Genealogy) |
Affiliation
Department of Economics
Boston University
Boston, Massachusetts (United States)http://www.bu.edu/econ/
RePEc:edi:decbuus (more details at EDIRC)
Research output
Jump to: Working papers Articles SoftwareWorking papers
- Fernández-Val, Iván & van Vuuren, Aico & Vella, Francis & Peracchi, Franco, 2022.
"Selection and the Distribution of Female Hourly Wages in the U.S,"
IZA Discussion Papers
15028, Institute of Labor Economics (IZA).
- Iv'an Fern'andez-Val & Franco Peracchi & Aico van Vuuren & Francis Vella, 2018. "Selection and the Distribution of Female Hourly Wages in the U.S," Papers 1901.00419, arXiv.org, revised Jan 2022.
- Ivan Fernandez-Val & Wayne Yuan Gao & Yuan Liao & Francis Vella, 2022.
"Dynamic Heterogeneous Distribution Regression Panel Models, with an Application to Labor Income Processes,"
Papers
2202.04154, arXiv.org, revised Jan 2023.
- Fernández-Val, Iván & Gao, Wayne Yuan & Liao, Yuan & Vella, Francis, 2022. "Dynamic Heterogeneous Distribution Regression Panel Models, with an Application to Labor Income Processes," IZA Discussion Papers 15236, Institute of Labor Economics (IZA).
- Ivan Fernandez-Val & Hugo Freeman & Martin Weidner, 2021.
"Low-rank approximations of nonseparable panel models,"
CeMMAP working papers
CWP10/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hugo Freeman & Martin Weidner, 2021. "Low-rank approximations of nonseparable panel models," The Econometrics Journal, Royal Economic Society, vol. 24(2), pages 40-77.
- Ivan Fernandez-Val & Hugo Freeman & Martin Weidner, 2020. "Low-rank approximations of nonseparable panel models," CeMMAP working papers CWP52/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Fernández-Val, Iván & Peracchi, Franco & van Vuuren, Aico & Vella, Francis, 2020.
"Hours Worked and the U.S. Distribution of Real Annual Earnings 1976–2016,"
IZA Discussion Papers
13016, Institute of Labor Economics (IZA).
- Iván Fernández‐Val & Aico van Vuuren & Francis Vella & Franco Peracchi, 2024. "Hours worked and the US distribution of real annual earnings 1976–2019," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(4), pages 659-678, June.
- Ivan Fernandez-Val & Franco Peracchi & Francis Vella & Aico van Vuuren, 2019. "Decomposing Changes in the Distribution of Real Hourly Wages in the U.S," CeMMAP working papers CWP61/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Shuowen Chen & Victor Chernozhukov & Ivan Fernandez-Val, 2019.
"Mastering Panel Metrics: Causal Impact of Democracy on Growth,"
CeMMAP working papers
CWP33/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Shuowen Chen & Victor Chernozhukov & Iván Fernández-Val, 2019. "Mastering Panel Metrics: Causal Impact of Democracy on Growth," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 77-82, May.
- Shuowen Chen & Victor Chernozhukov & Iv'an Fern'andez-Val, 2019. "Mastering Panel 'Metrics: Causal Impact of Democracy on Growth," Papers 1901.03821, arXiv.org.
- Fernandez-Val , Ivan & van Vuuren, Aico & Vella, Francis, 2018.
"Nonseparable Sample Selection Models with Censored Selection Rules,"
Working Papers in Economics
716, University of Gothenburg, Department of Economics.
- Fernández-Val, Ivan & van Vuuren, Aico & Vella, Francis, 2024. "Nonseparable sample selection models with censored selection rules," Journal of Econometrics, Elsevier, vol. 240(2).
- Ivan Fernandez-Val & Aico van Vuuren & Francis Vella, 2018. "Nonseparable sample selection models with censored selection rules," CeMMAP working papers CWP10/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Iv'an Fern'andez-Val & Aico van Vuuren & Francis Vella, 2018. "Nonseparable Sample Selection Models with Censored Selection Rules," Papers 1801.08961, arXiv.org, revised Sep 2020.
- Victor Chernozhukov & Mert Demirer & Esther Duflo & Iván Fernández-Val, 2018. "Generic Machine Learning Inference on Heterogeneous Treatment Effects in Randomized Experiments, with an Application to Immunization in India," NBER Working Papers 24678, National Bureau of Economic Research, Inc.
- Victor Chernozhukov & Iván Fernández-Val & Sukjin Han & Amanda Kowalski, 2018.
"Censored Quantile Instrumental Variable Estimation with Stata,"
NBER Working Papers
24232, National Bureau of Economic Research, Inc.
- Victor Chernozhukov & Ivan Fernández-Val & Sukjin Han & Amanda Kowalski, 2019. "Censored quantile instrumental-variable estimation with Stata," Stata Journal, StataCorp LP, vol. 19(4), pages 768-781, December.
- Victor Chernozhukov & Iv'an Fern'andez-Val & Sukjin Han & Amanda Kowalski, 2018. "Censored Quantile Instrumental Variable Estimation with Stata," Papers 1801.05305, arXiv.org, revised Sep 2019.
- Victor Chernozhukov & Iv'n Fern'ndez-Val & Sukjin Han & Amanda E. Kowalski, 2018. "Censored Quantile Instrumental Variable Estimation with Stata," Cowles Foundation Discussion Papers 2120, Cowles Foundation for Research in Economics, Yale University.
- Fernández-Val, Iván & van Vuuren, Aico & Vella, Francis, 2018. "Decomposing Real Wage Changes in the United States," IZA Discussion Papers 12044, Institute of Labor Economics (IZA).
- Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2018.
"Network and panel quantile effects via distribution regression,"
CeMMAP working papers
CWP21/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Chernozhukov, Victor & Fernández-Val, Iván & Weidner, Martin, 2024. "Network and panel quantile effects via distribution regression," Journal of Econometrics, Elsevier, vol. 240(2).
- Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2020. "Network and Panel Quantile Effects Via Distribution Regression," CeMMAP working papers CWP27/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Iv'an Fern'andez-Val & Martin Weidner, 2018. "Network and Panel Quantile Effects Via Distribution Regression," Papers 1803.08154, arXiv.org, revised Jun 2020.
- Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2018. "Network and panel quantile effects via distribution regression," CeMMAP working papers CWP70/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Siyi Luo, 2018.
"Distribution regression with sample selection, with an application to wage decompositions in the UK,"
CeMMAP working papers
CWP68/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Iv'an Fern'andez-Val & Siyi Luo, 2018. "Distribution Regression with Sample Selection, with an Application to Wage Decompositions in the UK," Papers 1811.11603, arXiv.org, revised Dec 2023.
- Fernández-Val, Iván & van Vuuren, Aico & Vella, Francis, 2018. "Nonseparable Sample Selection Models with Censored Selection Rules: An Application to Wage Decompositions," IZA Discussion Papers 11294, Institute of Labor Economics (IZA).
- Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey, 2017.
"Nonseparable multinomial choice models in cross-section and panel data,"
CeMMAP working papers
CWP33/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Chernozhukov, Victor & Fernández-Val, Iván & Newey, Whitney K., 2019. "Nonseparable multinomial choice models in cross-section and panel data," Journal of Econometrics, Elsevier, vol. 211(1), pages 104-116.
- Victor Chernozhukov & Iv'an Fern'andez-Val & Whitney Newey, 2017. "Nonseparable Multinomial Choice Models in Cross-Section and Panel Data," Papers 1706.08418, arXiv.org, revised May 2018.
- Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey, 2017. "Nonseparable multinomial choice models in cross-section and panel data," CeMMAP working papers 33/17, Institute for Fiscal Studies.
- Ivan Fernandez-Val & Martin Weidner, 2017.
"Fixed effect estimation of large T panel data models,"
CeMMAP working papers
CWP42/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Iván Fernández-Val & Martin Weidner, 2018. "Fixed Effects Estimation of Large-TPanel Data Models," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 109-138, August.
- Ivan Fernandez-Val & Martin Weidner, 2018. "Fixed effect estimation of large T panel data models," CeMMAP working papers CWP22/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Iv'an Fern'andez-Val & Martin Weidner, 2017. "Fixed Effect Estimation of Large T Panel Data Models," Papers 1709.08980, arXiv.org, revised Mar 2018.
- Michael Lipsitz & Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val, 2017.
"Quantreg.nonpar: an R package for performing nonparametric series quantile regression,"
CeMMAP working papers
CWP29/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Michael Lipsitz & Alexandre Belloni & Victor Chernozhukov & Iv'an Fern'andez-Val, 2016. "quantreg.nonpar: An R Package for Performing Nonparametric Series Quantile Regression," Papers 1610.08329, arXiv.org.
- Michael Lipsitz & Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val, 2017. "Quantreg.nonpar: an R package for performing nonparametric series quantile regression," CeMMAP working papers 29/17, Institute for Fiscal Studies.
- Victor Chernozhukov & Mert Demirer & Esther Duflo & Iv'an Fern'andez-Val, 2017.
"Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India,"
Papers
1712.04802, arXiv.org, revised Oct 2023.
- Victor Chernozhukov & Mert Demirer & Esther Duflo & Iván Fernández-Val, 2023. "Fischer-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India," Working Papers hal-04238425, HAL.
- Victor Chernozhukov & Iván Fernández-Val & Whitney Newey & Sami Stouli & Francis Vella, 2017.
"Semiparametric Estimation of Structural Functions in Nonseparable Triangular Models,"
Bristol Economics Discussion Papers
17/690, School of Economics, University of Bristol, UK.
- Victor Chernozhukov & Iván Fernández‐Val & Whitney Newey & Sami Stouli & Francis Vella, 2020. "Semiparametric estimation of structural functions in nonseparable triangular models," Quantitative Economics, Econometric Society, vol. 11(2), pages 503-533, May.
- Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey & Sami Stouli & Francis Vella, 2017. "Semiparametric estimation of structural functions in nonseparable triangular models," CeMMAP working papers CWP48/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Iv'an Fern'andez-Val & Whitney Newey & Sami Stouli & Francis Vella, 2017. "Semiparametric Estimation of Structural Functions in Nonseparable Triangular Models," Papers 1711.02184, arXiv.org, revised Oct 2019.
- Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey & Sami Stouli & Francis Vella, 2017. "Semiparametric estimation of structural functions in nonseparable triangular models," CeMMAP working papers 48/17, Institute for Fiscal Studies.
- Victor Chernozhukov & Mert Demirer & Esther Duflo & Ivan Fernandez-Val, 2017.
"Generic machine learning inference on heterogenous treatment effects in randomized experiments,"
CeMMAP working papers
CWP61/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Mert Demirer & Esther Duflo & Ivan Fernandez-Val, 2017. "Generic machine learning inference on heterogenous treatment effects in randomized experiments," CeMMAP working papers 61/17, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Tetsuya Kaji, 2017.
"Extremal quantile regression: an overview,"
CeMMAP working papers
CWP65/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Iv'an Fern'andez-Val & Tetsuya Kaji, 2016. "Extremal Quantile Regression: An Overview," Papers 1612.06850, arXiv.org, revised Feb 2017.
- Victor Chernozhukov & Ivan Fernandez-Val & Tetsuya Kaji, 2017. "Extremal quantile regression: an overview," CeMMAP working papers 65/17, Institute for Fiscal Studies.
- Mingli Chen & Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2017.
"Counterfactual analysis in R: a vignette,"
CeMMAP working papers
CWP64/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Mingli Chen & Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2017. "Counterfactual analysis in R: a vignette," CeMMAP working papers 64/17, Institute for Fiscal Studies.
- Mario Cruz-Gonzalez & Ivan Fernandez-Val & Martin Weidner, 2016.
"probitfe and logitfe: Bias corrections for probit and logit models with two-way fixed effects,"
Papers
1610.07714, arXiv.org, revised Feb 2017.
- Mario Cruz-Gonzalez & Iván Fernández-Val & Martin Weidner, 2017. "Bias corrections for probit and logit models with two-way fixed effects," Stata Journal, StataCorp LP, vol. 17(3), pages 517-545, September.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar W thrich, 2016.
"Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes,"
Diskussionsschriften
dp1607, Universitaet Bern, Departement Volkswirtschaft.
- Victor Chernozhukov & Iván Fernández-Val & Blaise Melly & Kaspar Wüthrich, 2020. "Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(529), pages 123-137, January.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar Wüthrich, 2017. "Generic inference on quantile and quantile effect functions for discrete outcomes," CeMMAP working papers 23/17, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar Wüthrich, 2017. "Generic inference on quantile and quantile effect functions for discrete outcomes," CeMMAP working papers CWP23/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar Wüthrich, 2016. "Generic inference on quantile and quantile effect functions for discrete outcomes," CeMMAP working papers 35/16, Institute for Fiscal Studies.
- Victor Chernozhukov & Iv'an Fern'andez-Val & Blaise Melly & Kaspar Wuthrich, 2016. "Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes," Papers 1608.05142, arXiv.org, revised Aug 2018.
- Chernozhukov, Victor & Fernández-Val, Iván & Melly, Blaise & Wüthrich, Kaspar, 2020. "Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes," University of California at San Diego, Economics Working Paper Series qt5zm6m9rq, Department of Economics, UC San Diego.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar Wüthrich, 2016. "Generic inference on quantile and quantile effect functions for discrete outcomes," CeMMAP working papers CWP35/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2016.
"Program evaluation and causal inference with high-dimensional data,"
CeMMAP working papers
CWP13/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- A. Belloni & V. Chernozhukov & I. Fernández‐Val & C. Hansen, 2017. "Program Evaluation and Causal Inference With High‐Dimensional Data," Econometrica, Econometric Society, vol. 85, pages 233-298, January.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fern'andez-Val & Christian Hansen, 2013. "Program Evaluation and Causal Inference with High-Dimensional Data," Papers 1311.2645, arXiv.org, revised Jan 2018.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2016. "Program evaluation and causal inference with high-dimensional data," CeMMAP working papers 13/16, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Ye Luo, 2015.
"The sorted effects method: discovering heterogeneous effects beyond their averages,"
CeMMAP working papers
CWP74/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Iván Fernández‐Val & Ye Luo, 2018. "The Sorted Effects Method: Discovering Heterogeneous Effects Beyond Their Averages," Econometrica, Econometric Society, vol. 86(6), pages 1911-1938, November.
- Victor Chernozhukov & Ivan Fernandez-Val & Ye Luo, 2015. "The Sorted Effects Method: Discovering Heterogeneous Effects Beyond Their Averages," Papers 1512.05635, arXiv.org, revised May 2018.
- Victor Chernozhukov & Ivan Fernandez-Val & Ye Luo, 2015. "The sorted effects method: discovering heterogeneous effects beyond their averages," CeMMAP working papers 74/15, Institute for Fiscal Studies.
- Mingli Chen & Iv'an Fern'andez-Val & Martin Weidner, 2014.
"Nonlinear Factor Models for Network and Panel Data,"
Papers
1412.5647, arXiv.org, revised Oct 2019.
- Chen, Mingli & Fernández-Val, Iván & Weidner, Martin, 2021. "Nonlinear factor models for network and panel data," Journal of Econometrics, Elsevier, vol. 220(2), pages 296-324.
- Mingli Chen & Ivan Fernandez-Val & Martin Weidner, 2018. "Nonlinear factor models for network and panel data," CeMMAP working papers CWP38/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Mingli Chen & Ivan Fernandez-Val & Martin Weidner, 2019. "Nonlinear factor models for network and panel data," CeMMAP working papers CWP18/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Hajo Holzmann & Whitney K. Newey, 2013.
"Nonparametric identification in panels using quantiles,"
CeMMAP working papers
CWP66/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Chernozhukov, Victor & Fernández-Val, Iván & Hoderlein, Stefan & Holzmann, Hajo & Newey, Whitney, 2015. "Nonparametric identification in panels using quantiles," Journal of Econometrics, Elsevier, vol. 188(2), pages 378-392.
- Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Whitney K. Newey, 2014. "Nonparametric identification in panels using quantiles," CeMMAP working papers 54/14, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Hajo Holzmann & Whitney K. Newey, 2013. "Nonparametric identification in panels using quantiles," CeMMAP working papers 66/13, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Whitney K. Newey, 2014. "Nonparametric identification in panels using quantiles," CeMMAP working papers CWP54/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Hajo Holzmann & Whitney Newey, 2013. "Nonparametric Identification in Panels using Quantiles," Papers 1312.4094, arXiv.org, revised Aug 2014.
- Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2013.
"Program evaluation with high-dimensional data,"
CeMMAP working papers
CWP57/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2013. "Program evaluation with high-dimensional data," CeMMAP working papers 57/13, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2015. "Program evaluation with high-dimensional data," CeMMAP working papers CWP55/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2014. "Program evaluation with high-dimensional data," CeMMAP working papers 33/14, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2014. "Program evaluation with high-dimensional data," CeMMAP working papers CWP33/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2013. "Program evaluation with high-dimensional data," CeMMAP working papers CWP77/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2015. "Program evaluation with high-dimensional data," CeMMAP working papers 55/15, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2013. "Program evaluation with high-dimensional data," CeMMAP working papers 77/13, Institute for Fiscal Studies.
- Ivan Fernandez-Val & Martin Weidner, 2013.
"Individual and time effects in nonlinear panel models with large N, T,"
CeMMAP working papers
CWP60/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Fernández-Val, Iván & Weidner, Martin, 2016. "Individual and time effects in nonlinear panel models with large N, T," Journal of Econometrics, Elsevier, vol. 192(1), pages 291-312.
- Ivan Fernandez-Val & Martin Weidner, 2014. "Individual and time effects in nonlinear panel models with large N, T," CeMMAP working papers CWP32/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and Time Effects in Nonlinear Panel Models with Large N, T," Papers 1311.7065, arXiv.org, revised Dec 2018.
- Ivan Fernandez-Val & Martin Weidner, 2015. "Individual and time effects in nonlinear panel models with large N, T," CeMMAP working papers CWP17/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Fernández-Val, Iván & Savchenko, Yevgeniya & Vella, Francis, 2013. "Evaluating the Role of Individual Specific Heterogeneity in the Relationship Between Subjective Health Assessments and Income," IZA Discussion Papers 7651, Institute of Labor Economics (IZA).
- Victor Chernozhukov & Ivan Fernandez-Val, 2011.
"Inference for extremal conditional quantile models, with an application to market and birthweight risks,"
CeMMAP working papers
CWP40/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Iván Fernández-Val, 2011. "Inference for Extremal Conditional Quantile Models, with an Application to Market and Birthweight Risks," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(2), pages 559-589.
- Victor Chernozhukov & Ivan Fernandez-Val, 2009. "Inference for Extremal Conditional Quantile Models, with an Application to Market and Birthweight Risks," Papers 0912.5013, arXiv.org.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val, 2011.
"Conditional quantile processes based on series or many regressors,"
CeMMAP working papers
CWP19/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Belloni, Alexandre & Chernozhukov, Victor & Chetverikov, Denis & Fernández-Val, Iván, 2019. "Conditional quantile processes based on series or many regressors," Journal of Econometrics, Elsevier, vol. 213(1), pages 4-29.
- Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Ivan Fernandez-Val, 2016. "Conditional quantile processes based on series or many regressors," CeMMAP working papers CWP46/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Ivan Fernandez-Val, 2016. "Conditional quantile processes based on series or many regressors," CeMMAP working papers 46/16, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Iv'an Fern'andez-Val, 2011. "Conditional Quantile Processes based on Series or Many Regressors," Papers 1105.6154, arXiv.org, revised Aug 2018.
- Victor Chernozhukov & Ivan Fernandez-Val & Amanda Kowalski, 2011.
"Quantile Regression with Censoring and Endogeneity,"
Cowles Foundation Discussion Papers
1797, Cowles Foundation for Research in Economics, Yale University.
- Chernozhukov, Victor & Fernández-Val, Iván & Kowalski, Amanda E., 2015. "Quantile regression with censoring and endogeneity," Journal of Econometrics, Elsevier, vol. 186(1), pages 201-221.
- Victor Chernozhukov & Iván Fernández-Val & Amanda E. Kowalski, 2011. "Quantile Regression with Censoring and Endogeneity," NBER Working Papers 16997, National Bureau of Economic Research, Inc.
- Victor Chernozhukov & Ivan Fernandez-Val & Amanda Kowalski, 2011. "Quantile Regression with Censoring and Endogeneity," Papers 1104.4580, arXiv.org, revised Mar 2014.
- Victor Chernozhukov & Ivan Fernandez-Val & Amanda Kowalski, 2011. "Quantile regression with censoring and endogeneity," CeMMAP working papers CWP20/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2010.
"Quantile and Probability Curves without Crossing,"
SciencePo Working papers Main
hal-01052958, HAL.
- Victor Chernozhukov & Iv·n Fern·ndez-Val & Alfred Galichon, 2010. "Quantile and Probability Curves Without Crossing," Econometrica, Econometric Society, vol. 78(3), pages 1093-1125, May.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007. "Quantile and Probability Curves Without Crossing," Papers 0704.3649, arXiv.org, revised Jul 2014.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007. "Quantile And Probability Curves Without Crossing," Boston University - Department of Economics - Working Papers Series WP2007-011, Boston University - Department of Economics.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007. "Quantile and probability curves without crossing," CeMMAP working papers CWP10/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2010. "Quantile and Probability Curves without Crossing," Post-Print hal-01052958, HAL.
- Joshua Angrist & Ivan Fernandez-Val, 2010. "ExtrapoLATE-ing: External Validity and Overidentification in the LATE Framework," NBER Working Papers 16566, National Bureau of Economic Research, Inc.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2009.
"Inference on counterfactual distributions,"
CeMMAP working papers
CWP09/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2013. "Inference on counterfactual distributions," CeMMAP working papers 17/13, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2013. "Inference on counterfactual distributions," CeMMAP working papers CWP17/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2008. "Inference On Counterfactual Distributions," Boston University - Department of Economics - Working Papers Series wp2008-005, Boston University - Department of Economics.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2012. "Inference on counterfactual distributions," CeMMAP working papers 05/12, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2009. "Inference on Counterfactual Distributions," Papers 0904.0951, arXiv.org, revised Sep 2013.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2009. "Inference on counterfactual distributions," CeMMAP working papers 09/09, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2012. "Inference on counterfactual distributions," CeMMAP working papers CWP05/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Jinyong Hahn & Whitney Newey, 2009.
"Average and Quantile Effects in Nonseparable Panel Models,"
Papers
0904.1990, arXiv.org, revised Mar 2013.
- Victor Chernozhukov & Iván Fernández‐Val & Jinyong Hahn & Whitney Newey, 2013. "Average and Quantile Effects in Nonseparable Panel Models," Econometrica, Econometric Society, vol. 81(2), pages 535-580, March.
- Victor Chernozhukov & Ivan Fernandez-Val & Jinyong Hahn & Whitney K. Newey, 2008.
"Identification and estimation of marginal effects in nonlinear panel models,"
CeMMAP working papers
CWP25/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Jinyong Hahn & Whitney Newey, 2009. "Identification and Estimation of Marginal Effects in Nonlinear Panel Models," Boston University - Department of Economics - Working Papers Series wp2009-b, Boston University - Department of Economics.
- Victor Chernozhukov & Ivan Fernandez-Val & Jinyong Hahn & Whitney K. Newey, 2009. "Identification and estimation of marginal effects in nonlinear panel models," CeMMAP working papers CWP05/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2008.
"Improving point and interval estimates of monotone functions by rearrangement,"
CeMMAP working papers
CWP17/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- V. Chernozhukov & I. Fernández-Val & A. Galichon, 2009. "Improving point and interval estimators of monotone functions by rearrangement," Biometrika, Biometrika Trust, vol. 96(3), pages 559-575.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2009. "Improving point and interval estimators of monotone functions by rearrangement," SciencePo Working papers Main hal-03596970, HAL.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2009. "Improving point and interval estimators of monotone functions by rearrangement," Post-Print hal-03596970, HAL.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2008. "Improving Point and Interval Estimates of Monotone Functions by Rearrangement," Papers 0806.4730, arXiv.org, revised Nov 2008.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007.
"Improving Estimates Of Monotone Functions By Rearrangement,"
Boston University - Department of Economics - Working Papers Series
WP2007-012, Boston University - Department of Economics.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007. "Improving Estimates of Monotone Functions by Rearrangement," Papers 0704.3686, arXiv.org, revised Nov 2010.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007. "Improving estimates of monotone functions by rearrangement," CeMMAP working papers CWP09/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ivan Fernandez-Val, 2007.
"Fixed Effects Estimation of Structural Parameters and Marginal Effects in Panel Probit Models,"
Boston University - Department of Economics - Working Papers Series
WP2007-009, Boston University - Department of Economics.
- Fernández-Val, Iván, 2009. "Fixed effects estimation of structural parameters and marginal effects in panel probit models," Journal of Econometrics, Elsevier, vol. 150(1), pages 71-85, May.
- Fernández-Val, Iván & Vella, Francis, 2007.
"Bias Corrections for Two-Step Fixed Effects Panel Data Estimators,"
IZA Discussion Papers
2690, Institute of Labor Economics (IZA).
- Fernández-Val, Iván & Vella, Francis, 2011. "Bias corrections for two-step fixed effects panel data estimators," Journal of Econometrics, Elsevier, vol. 163(2), pages 144-162, August.
- Francis Vella & Ivan Fernandez-Val, 2007. "Bias Corrections for Two-Step Fixed Effects Panel Data Estimators," Boston University - Department of Economics - Working Papers Series WP2007-010, Boston University - Department of Economics.
- Ivan Fernandez-Val & Francis Vella, 2007. "Bias corrections for two-step fixed effects panel data estimators," CeMMAP working papers CWP04/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007.
"Quantile And Probability Curves Without Crossing,"
Boston University - Department of Economics - Working Papers Series
WP2007-011, Boston University - Department of Economics.
- Victor Chernozhukov & Iv·n Fern·ndez-Val & Alfred Galichon, 2010. "Quantile and Probability Curves Without Crossing," Econometrica, Econometric Society, vol. 78(3), pages 1093-1125, May.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007. "Quantile and Probability Curves Without Crossing," Papers 0704.3649, arXiv.org, revised Jul 2014.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2010. "Quantile and Probability Curves without Crossing," Post-Print hal-01052958, HAL.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007. "Quantile and probability curves without crossing," CeMMAP working papers CWP10/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2010. "Quantile and Probability Curves without Crossing," SciencePo Working papers Main hal-01052958, HAL.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007.
"Rearranging Edgeworth-Cornish-Fisher expansions,"
CeMMAP working papers
CWP19/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Iván Fernández-Val & Alfred Galichon, 2010. "Rearranging Edgeworth–Cornish–Fisher expansions," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 42(2), pages 419-435, February.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2010. "Rearranging Edgeworth-Cornish-Fisher Expansions," SciencePo Working papers Main hal-03588300, HAL.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2010. "Rearranging Edgeworth-Cornish-Fisher Expansions," Post-Print hal-03588300, HAL.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007. "Rearranging Edgeworth-Cornish-Fisher Expansions," Papers 0708.1627, arXiv.org, revised May 2013.
- Ivan Fernandez-Val, 2005. "Estimation of Structural Parameters and Marginal Effects in Binary Choice Panel Data Models with Fixed Effects," Boston University - Department of Economics - Working Papers Series WP2005-38, Boston University - Department of Economics.
- Ivan Fernandez-Val, 2005. "Bias Correction in Panel Data Models with Individual Specific Parameters," Boston University - Department of Economics - Working Papers Series WP2005-041, Boston University - Department of Economics.
- Joshua Angrist & Victor Chernozhukov & Ivan Fernandez-Val, 2004.
"Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure,"
NBER Working Papers
10428, National Bureau of Economic Research, Inc.
- Joshua Angrist & Victor Chernozhukov & Iván Fernández-Val, 2006. "Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure," Econometrica, Econometric Society, vol. 74(2), pages 539-563, March.
- I. Fernandez-Val & J. Angrist & V. Chernozhukov, 2004. "Quantile Regression under Misspecification," Econometric Society 2004 North American Winter Meetings 198, Econometric Society.
- Iván Fernández-Val & Joonhwan Lee, "undated".
"Panel Data Models with Nonadditive Unobserved Heterogeneity: Estimation and Inference,"
Boston University - Department of Economics - Working Papers Series
wp2010-001, Boston University - Department of Economics.
- Iván Fernández‐Val & Joonhwah Lee, 2013. "Panel data models with nonadditive unobserved heterogeneity: Estimation and inference," Quantitative Economics, Econometric Society, vol. 4(3), pages 453-481, November.
- Ivan Fernandez-Val & Joonhwah Lee, 2012. "Panel Data Models with Nonadditive Unobserved Heterogeneity: Estimation and Inference," Papers 1206.2966, arXiv.org, revised Oct 2013.
- Victor Chernozhukov & Ivan Fernandez-Val & Amanda E. Kowalski, "undated". "Censored Quantile Instrumental Variable Estimation via Control Functions," Boston University - Department of Economics - Working Papers Series wp2009-012, Boston University - Department of Economics.
- V. Chernozhukov & Ivan Fernandez-Val, "undated".
"Quantile and Average Effects in Nonseparable Panel Models,"
Boston University - Department of Economics - Working Papers Series
wp2009-011, Boston University - Department of Economics.
- Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey, 2009. "Quantile and average effects in nonseparable panel models," CeMMAP working papers CWP29/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
Articles
- Victor Chernozhukov & Iván Fernández-Val & Blaise Melly, 2022.
"Fast algorithms for the quantile regression process,"
Empirical Economics, Springer, vol. 62(1), pages 7-33, January.
- Victor Chernozhukov & Iv'an Fern'andez-Val & Blaise Melly, 2019. "Fast Algorithms for the Quantile Regression Process," Papers 1909.05782, arXiv.org, revised Apr 2020.
- Chen, Mingli & Fernández-Val, Iván & Weidner, Martin, 2021.
"Nonlinear factor models for network and panel data,"
Journal of Econometrics, Elsevier, vol. 220(2), pages 296-324.
- Mingli Chen & Ivan Fernandez-Val & Martin Weidner, 2018. "Nonlinear factor models for network and panel data," CeMMAP working papers CWP38/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Mingli Chen & Iv'an Fern'andez-Val & Martin Weidner, 2014. "Nonlinear Factor Models for Network and Panel Data," Papers 1412.5647, arXiv.org, revised Oct 2019.
- Mingli Chen & Ivan Fernandez-Val & Martin Weidner, 2019. "Nonlinear factor models for network and panel data," CeMMAP working papers CWP18/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Paolo Frumento & Matteo Bottai & Iván Fernández-Val, 2021. "Parametric Modeling of Quantile Regression Coefficient Functions With Longitudinal Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(534), pages 783-797, April.
- Hugo Freeman & Martin Weidner, 2021.
"Low-rank approximations of nonseparable panel models,"
The Econometrics Journal, Royal Economic Society, vol. 24(2), pages 40-77.
- Ivan Fernandez-Val & Hugo Freeman & Martin Weidner, 2021. "Low-rank approximations of nonseparable panel models," CeMMAP working papers CWP10/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ivan Fernandez-Val & Hugo Freeman & Martin Weidner, 2020. "Low-rank approximations of nonseparable panel models," CeMMAP working papers CWP52/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Iván Fernández‐Val & Whitney Newey & Sami Stouli & Francis Vella, 2020.
"Semiparametric estimation of structural functions in nonseparable triangular models,"
Quantitative Economics, Econometric Society, vol. 11(2), pages 503-533, May.
- Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey & Sami Stouli & Francis Vella, 2017. "Semiparametric estimation of structural functions in nonseparable triangular models," CeMMAP working papers CWP48/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Iv'an Fern'andez-Val & Whitney Newey & Sami Stouli & Francis Vella, 2017. "Semiparametric Estimation of Structural Functions in Nonseparable Triangular Models," Papers 1711.02184, arXiv.org, revised Oct 2019.
- Victor Chernozhukov & Iván Fernández-Val & Whitney Newey & Sami Stouli & Francis Vella, 2017. "Semiparametric Estimation of Structural Functions in Nonseparable Triangular Models," Bristol Economics Discussion Papers 17/690, School of Economics, University of Bristol, UK.
- Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey & Sami Stouli & Francis Vella, 2017. "Semiparametric estimation of structural functions in nonseparable triangular models," CeMMAP working papers 48/17, Institute for Fiscal Studies.
- Victor Chernozhukov & Iván Fernández-Val & Blaise Melly & Kaspar Wüthrich, 2020.
"Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(529), pages 123-137, January.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar Wüthrich, 2017. "Generic inference on quantile and quantile effect functions for discrete outcomes," CeMMAP working papers 23/17, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar Wüthrich, 2017. "Generic inference on quantile and quantile effect functions for discrete outcomes," CeMMAP working papers CWP23/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar Wüthrich, 2016. "Generic inference on quantile and quantile effect functions for discrete outcomes," CeMMAP working papers 35/16, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar W thrich, 2016. "Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes," Diskussionsschriften dp1607, Universitaet Bern, Departement Volkswirtschaft.
- Victor Chernozhukov & Iv'an Fern'andez-Val & Blaise Melly & Kaspar Wuthrich, 2016. "Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes," Papers 1608.05142, arXiv.org, revised Aug 2018.
- Chernozhukov, Victor & Fernández-Val, Iván & Melly, Blaise & Wüthrich, Kaspar, 2020. "Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes," University of California at San Diego, Economics Working Paper Series qt5zm6m9rq, Department of Economics, UC San Diego.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar Wüthrich, 2016. "Generic inference on quantile and quantile effect functions for discrete outcomes," CeMMAP working papers CWP35/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Belloni, Alexandre & Chernozhukov, Victor & Chetverikov, Denis & Fernández-Val, Iván, 2019.
"Conditional quantile processes based on series or many regressors,"
Journal of Econometrics, Elsevier, vol. 213(1), pages 4-29.
- Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Ivan Fernandez-Val, 2016. "Conditional quantile processes based on series or many regressors," CeMMAP working papers CWP46/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Ivan Fernandez-Val, 2016. "Conditional quantile processes based on series or many regressors," CeMMAP working papers 46/16, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Iv'an Fern'andez-Val, 2011. "Conditional Quantile Processes based on Series or Many Regressors," Papers 1105.6154, arXiv.org, revised Aug 2018.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val, 2011. "Conditional quantile processes based on series or many regressors," CeMMAP working papers CWP19/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Shuowen Chen & Victor Chernozhukov & Iván Fernández-Val, 2019.
"Mastering Panel Metrics: Causal Impact of Democracy on Growth,"
AEA Papers and Proceedings, American Economic Association, vol. 109, pages 77-82, May.
- Shuowen Chen & Victor Chernozhukov & Ivan Fernandez-Val, 2019. "Mastering Panel Metrics: Causal Impact of Democracy on Growth," CeMMAP working papers CWP33/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Shuowen Chen & Victor Chernozhukov & Iv'an Fern'andez-Val, 2019. "Mastering Panel 'Metrics: Causal Impact of Democracy on Growth," Papers 1901.03821, arXiv.org.
- Victor Chernozhukov & Ivan Fernández-Val & Sukjin Han & Amanda Kowalski, 2019.
"Censored quantile instrumental-variable estimation with Stata,"
Stata Journal, StataCorp LP, vol. 19(4), pages 768-781, December.
- Victor Chernozhukov & Iv'an Fern'andez-Val & Sukjin Han & Amanda Kowalski, 2018. "Censored Quantile Instrumental Variable Estimation with Stata," Papers 1801.05305, arXiv.org, revised Sep 2019.
- Victor Chernozhukov & Iván Fernández-Val & Sukjin Han & Amanda Kowalski, 2018. "Censored Quantile Instrumental Variable Estimation with Stata," NBER Working Papers 24232, National Bureau of Economic Research, Inc.
- Victor Chernozhukov & Iv'n Fern'ndez-Val & Sukjin Han & Amanda E. Kowalski, 2018. "Censored Quantile Instrumental Variable Estimation with Stata," Cowles Foundation Discussion Papers 2120, Cowles Foundation for Research in Economics, Yale University.
- Chernozhukov, Victor & Fernández-Val, Iván & Newey, Whitney K., 2019.
"Nonseparable multinomial choice models in cross-section and panel data,"
Journal of Econometrics, Elsevier, vol. 211(1), pages 104-116.
- Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey, 2017. "Nonseparable multinomial choice models in cross-section and panel data," CeMMAP working papers CWP33/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Iv'an Fern'andez-Val & Whitney Newey, 2017. "Nonseparable Multinomial Choice Models in Cross-Section and Panel Data," Papers 1706.08418, arXiv.org, revised May 2018.
- Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey, 2017. "Nonseparable multinomial choice models in cross-section and panel data," CeMMAP working papers 33/17, Institute for Fiscal Studies.
- Iván Fernández-Val & Martin Weidner, 2018.
"Fixed Effects Estimation of Large-TPanel Data Models,"
Annual Review of Economics, Annual Reviews, vol. 10(1), pages 109-138, August.
- Ivan Fernandez-Val & Martin Weidner, 2018. "Fixed effect estimation of large T panel data models," CeMMAP working papers CWP22/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ivan Fernandez-Val & Martin Weidner, 2017. "Fixed effect estimation of large T panel data models," CeMMAP working papers CWP42/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Iv'an Fern'andez-Val & Martin Weidner, 2017. "Fixed Effect Estimation of Large T Panel Data Models," Papers 1709.08980, arXiv.org, revised Mar 2018.
- Victor Chernozhukov & Iván Fernández‐Val & Ye Luo, 2018.
"The Sorted Effects Method: Discovering Heterogeneous Effects Beyond Their Averages,"
Econometrica, Econometric Society, vol. 86(6), pages 1911-1938, November.
- Victor Chernozhukov & Ivan Fernandez-Val & Ye Luo, 2015. "The sorted effects method: discovering heterogeneous effects beyond their averages," CeMMAP working papers CWP74/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Ye Luo, 2015. "The Sorted Effects Method: Discovering Heterogeneous Effects Beyond Their Averages," Papers 1512.05635, arXiv.org, revised May 2018.
- Victor Chernozhukov & Ivan Fernandez-Val & Ye Luo, 2015. "The sorted effects method: discovering heterogeneous effects beyond their averages," CeMMAP working papers 74/15, Institute for Fiscal Studies.
- Mario Cruz-Gonzalez & Iván Fernández-Val & Martin Weidner, 2017.
"Bias corrections for probit and logit models with two-way fixed effects,"
Stata Journal, StataCorp LP, vol. 17(3), pages 517-545, September.
- Mario Cruz-Gonzalez & Ivan Fernandez-Val & Martin Weidner, 2016. "probitfe and logitfe: Bias corrections for probit and logit models with two-way fixed effects," Papers 1610.07714, arXiv.org, revised Feb 2017.
- A. Belloni & V. Chernozhukov & I. Fernández‐Val & C. Hansen, 2017.
"Program Evaluation and Causal Inference With High‐Dimensional Data,"
Econometrica, Econometric Society, vol. 85, pages 233-298, January.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fern'andez-Val & Christian Hansen, 2013. "Program Evaluation and Causal Inference with High-Dimensional Data," Papers 1311.2645, arXiv.org, revised Jan 2018.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2016. "Program evaluation and causal inference with high-dimensional data," CeMMAP working papers 13/16, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen, 2016. "Program evaluation and causal inference with high-dimensional data," CeMMAP working papers CWP13/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Fernández-Val, Iván & Savchenko, Yevgeniya & Vella, Francis, 2017. "Evaluating the role of income, state dependence and individual specific heterogeneity in the determination of subjective health assessments," Economics & Human Biology, Elsevier, vol. 25(C), pages 85-98.
- Fernández-Val, Iván & Weidner, Martin, 2016.
"Individual and time effects in nonlinear panel models with large N, T,"
Journal of Econometrics, Elsevier, vol. 192(1), pages 291-312.
- Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and time effects in nonlinear panel models with large N, T," CeMMAP working papers CWP60/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ivan Fernandez-Val & Martin Weidner, 2014. "Individual and time effects in nonlinear panel models with large N, T," CeMMAP working papers CWP32/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and Time Effects in Nonlinear Panel Models with Large N, T," Papers 1311.7065, arXiv.org, revised Dec 2018.
- Ivan Fernandez-Val & Martin Weidner, 2015. "Individual and time effects in nonlinear panel models with large N, T," CeMMAP working papers CWP17/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Chernozhukov, Victor & Fernández-Val, Iván & Kowalski, Amanda E., 2015.
"Quantile regression with censoring and endogeneity,"
Journal of Econometrics, Elsevier, vol. 186(1), pages 201-221.
- Victor Chernozhukov & Iván Fernández-Val & Amanda E. Kowalski, 2011. "Quantile Regression with Censoring and Endogeneity," NBER Working Papers 16997, National Bureau of Economic Research, Inc.
- Victor Chernozhukov & Ivan Fernandez-Val & Amanda Kowalski, 2011. "Quantile Regression with Censoring and Endogeneity," Papers 1104.4580, arXiv.org, revised Mar 2014.
- Victor Chernozhukov & Ivan Fernandez-Val & Amanda Kowalski, 2011. "Quantile Regression with Censoring and Endogeneity," Cowles Foundation Discussion Papers 1797, Cowles Foundation for Research in Economics, Yale University.
- Victor Chernozhukov & Ivan Fernandez-Val & Amanda Kowalski, 2011. "Quantile regression with censoring and endogeneity," CeMMAP working papers CWP20/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Chernozhukov, Victor & Fernández-Val, Iván & Hoderlein, Stefan & Holzmann, Hajo & Newey, Whitney, 2015.
"Nonparametric identification in panels using quantiles,"
Journal of Econometrics, Elsevier, vol. 188(2), pages 378-392.
- Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Whitney K. Newey, 2014. "Nonparametric identification in panels using quantiles," CeMMAP working papers 54/14, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Hajo Holzmann & Whitney K. Newey, 2013. "Nonparametric identification in panels using quantiles," CeMMAP working papers CWP66/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Hajo Holzmann & Whitney K. Newey, 2013. "Nonparametric identification in panels using quantiles," CeMMAP working papers 66/13, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Whitney K. Newey, 2014. "Nonparametric identification in panels using quantiles," CeMMAP working papers CWP54/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Hajo Holzmann & Whitney Newey, 2013. "Nonparametric Identification in Panels using Quantiles," Papers 1312.4094, arXiv.org, revised Aug 2014.
- Adam Ashcraft & Iván Fernández‐Val & Kevin Lang, 2013.
"The Consequences of Teenage Childbearing: Consistent Estimates When Abortion Makes Miscarriage Non‐random,"
Economic Journal, Royal Economic Society, vol. 123, pages 875-905, September.
- Kevin Lang & Adam Ashcraft, 2010. "The Consequences of Teenage Childbearing: Consistent Estimates When Abortion Makes Miscarriage Nonrandom," Boston University - Department of Economics - Working Papers Series WP2010-016, Boston University - Department of Economics.
- Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013.
"Inference on Counterfactual Distributions,"
Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2013. "Inference on counterfactual distributions," CeMMAP working papers 17/13, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2013. "Inference on counterfactual distributions," CeMMAP working papers CWP17/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2008. "Inference On Counterfactual Distributions," Boston University - Department of Economics - Working Papers Series wp2008-005, Boston University - Department of Economics.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2009. "Inference on counterfactual distributions," CeMMAP working papers CWP09/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2012. "Inference on counterfactual distributions," CeMMAP working papers 05/12, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2009. "Inference on Counterfactual Distributions," Papers 0904.0951, arXiv.org, revised Sep 2013.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2009. "Inference on counterfactual distributions," CeMMAP working papers 09/09, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2012. "Inference on counterfactual distributions," CeMMAP working papers CWP05/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Iván Fernández‐Val & Jinyong Hahn & Whitney Newey, 2013.
"Average and Quantile Effects in Nonseparable Panel Models,"
Econometrica, Econometric Society, vol. 81(2), pages 535-580, March.
- Victor Chernozhukov & Ivan Fernandez-Val & Jinyong Hahn & Whitney Newey, 2009. "Average and Quantile Effects in Nonseparable Panel Models," Papers 0904.1990, arXiv.org, revised Mar 2013.
- Iván Fernández‐Val & Joonhwah Lee, 2013.
"Panel data models with nonadditive unobserved heterogeneity: Estimation and inference,"
Quantitative Economics, Econometric Society, vol. 4(3), pages 453-481, November.
- Iván Fernández-Val & Joonhwan Lee, "undated". "Panel Data Models with Nonadditive Unobserved Heterogeneity: Estimation and Inference," Boston University - Department of Economics - Working Papers Series wp2010-001, Boston University - Department of Economics.
- Ivan Fernandez-Val & Joonhwah Lee, 2012. "Panel Data Models with Nonadditive Unobserved Heterogeneity: Estimation and Inference," Papers 1206.2966, arXiv.org, revised Oct 2013.
- Fernández-Val, Iván & Vella, Francis, 2011.
"Bias corrections for two-step fixed effects panel data estimators,"
Journal of Econometrics, Elsevier, vol. 163(2), pages 144-162, August.
- Francis Vella & Ivan Fernandez-Val, 2007. "Bias Corrections for Two-Step Fixed Effects Panel Data Estimators," Boston University - Department of Economics - Working Papers Series WP2007-010, Boston University - Department of Economics.
- Fernández-Val, Iván & Vella, Francis, 2007. "Bias Corrections for Two-Step Fixed Effects Panel Data Estimators," IZA Discussion Papers 2690, Institute of Labor Economics (IZA).
- Ivan Fernandez-Val & Francis Vella, 2007. "Bias corrections for two-step fixed effects panel data estimators," CeMMAP working papers CWP04/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Iván Fernández-Val, 2011.
"Inference for Extremal Conditional Quantile Models, with an Application to Market and Birthweight Risks,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(2), pages 559-589.
- Victor Chernozhukov & Ivan Fernandez-Val, 2009. "Inference for Extremal Conditional Quantile Models, with an Application to Market and Birthweight Risks," Papers 0912.5013, arXiv.org.
- Victor Chernozhukov & Ivan Fernandez-Val, 2011. "Inference for extremal conditional quantile models, with an application to market and birthweight risks," CeMMAP working papers CWP40/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Iván Fernández-Val & Alfred Galichon, 2010.
"Rearranging Edgeworth–Cornish–Fisher expansions,"
Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 42(2), pages 419-435, February.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2010. "Rearranging Edgeworth-Cornish-Fisher Expansions," SciencePo Working papers Main hal-03588300, HAL.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2010. "Rearranging Edgeworth-Cornish-Fisher Expansions," Post-Print hal-03588300, HAL.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007. "Rearranging Edgeworth-Cornish-Fisher Expansions," Papers 0708.1627, arXiv.org, revised May 2013.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007. "Rearranging Edgeworth-Cornish-Fisher expansions," CeMMAP working papers CWP19/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- V. Chernozhukov & I. Fernández-Val & A. Galichon, 2009.
"Improving point and interval estimators of monotone functions by rearrangement,"
Biometrika, Biometrika Trust, vol. 96(3), pages 559-575.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2009. "Improving point and interval estimators of monotone functions by rearrangement," SciencePo Working papers Main hal-03596970, HAL.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2008. "Improving point and interval estimates of monotone functions by rearrangement," CeMMAP working papers CWP17/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2009. "Improving point and interval estimators of monotone functions by rearrangement," Post-Print hal-03596970, HAL.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2008. "Improving Point and Interval Estimates of Monotone Functions by Rearrangement," Papers 0806.4730, arXiv.org, revised Nov 2008.
- Fernández-Val, Iván, 2009.
"Fixed effects estimation of structural parameters and marginal effects in panel probit models,"
Journal of Econometrics, Elsevier, vol. 150(1), pages 71-85, May.
- Ivan Fernandez-Val, 2007. "Fixed Effects Estimation of Structural Parameters and Marginal Effects in Panel Probit Models," Boston University - Department of Economics - Working Papers Series WP2007-009, Boston University - Department of Economics.
- Joshua Angrist & Victor Chernozhukov & Iván Fernández-Val, 2006.
"Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure,"
Econometrica, Econometric Society, vol. 74(2), pages 539-563, March.
- Joshua Angrist & Victor Chernozhukov & Ivan Fernandez-Val, 2004. "Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure," NBER Working Papers 10428, National Bureau of Economic Research, Inc.
- Iván Fernández Val, 2003. "Household labor supply: evidence for Spain," Investigaciones Economicas, Fundación SEPI, vol. 27(2), pages 239-275, May.
Software components
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2020. "QRPROCESS: Stata module for quantile regression: fast algorithm, pointwise and uniform inference," Statistical Software Components S458763, Boston College Department of Economics.
- Mario Cruz-Gonzalez & Ivan Fernandez-Val & Martin Weidner, 2016. "LOGITFE: Stata module to compute analytical and jackknife bias corrections for fixed effects estimators of panel logit models with individual and time effects," Statistical Software Components S458278, Boston College Department of Economics, revised 10 Mar 2017.
- Mario Cruz-Gonzalez & Ivan Fernandez-Val & Martin Weidner, 2016. "PROBITFE: Stata module to compute analytical and jackknife bias corrections for fixed effects estimators of panel probit models with individual and time effects," Statistical Software Components S458279, Boston College Department of Economics, revised 10 Mar 2017.
- Victor Chernozhukov & Ivan Fernandez-Val & Sukjin Han & Amanda Kowalski, 2012. "CQIV: Stata module to perform censored quantile instrumental variables regression," Statistical Software Components S457478, Boston College Department of Economics, revised 25 Sep 2019.
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NEP Fields
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 49 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.- NEP-ECM: Econometrics (31) 2004-06-10 2004-07-17 2006-10-28 2007-04-14 2007-08-14 2007-08-14 2007-08-14 2007-11-24 2007-11-24 2007-11-24 2008-08-21 2009-04-05 2009-06-10 2009-06-10 2009-08-22 2010-04-17 2010-12-11 2011-04-30 2011-05-07 2011-06-18 2012-01-25 2013-11-29 2013-12-29 2015-08-19 2016-10-02 2017-05-14 2017-11-26 2018-01-08 2018-02-26 2019-02-18 2022-03-21. Author is listed
- NEP-DCM: Discrete Choice Models (8) 2006-10-28 2007-08-14 2007-08-14 2018-01-15 2018-01-29 2018-07-23 2019-02-18 2021-03-01. Author is listed
- NEP-BIG: Big Data (3) 2018-01-08 2018-07-30 2018-08-20
- NEP-EXP: Experimental Economics (3) 2018-01-08 2018-07-30 2018-08-20
- NEP-LAB: Labour Economics (3) 2019-02-04 2020-04-13 2022-02-28
- NEP-CMP: Computational Economics (2) 2018-07-30 2018-08-20
- NEP-LMA: Labor Markets - Supply, Demand, and Wages (2) 2020-04-13 2022-05-16
- NEP-NET: Network Economics (2) 2020-01-13 2021-07-19
- NEP-BAN: Banking (1) 2022-03-21
- NEP-CTA: Contract Theory and Applications (1) 2017-10-22
- NEP-ETS: Econometric Time Series (1) 2015-08-13
- NEP-GRO: Economic Growth (1) 2020-01-13
- NEP-HEA: Health Economics (1) 2013-10-25
- NEP-MAC: Macroeconomics (1) 2006-03-18
- NEP-MFD: Microfinance (1) 2018-07-30
- NEP-ORE: Operations Research (1) 2015-08-13
- NEP-SOC: Social Norms and Social Capital (1) 2020-01-13
- NEP-UPT: Utility Models and Prospect Theory (1) 2018-01-15
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