Ivan Fernandez-Val
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Ivan |
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Fernandez-Val |
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Contact
Affiliations
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Boston University
/ Department of Economics
Research profile
author of:
- Mastering Panel Metrics: Causal Impact of Democracy on Growth (RePEc:aea:apandp:v:109:y:2019:p:77-82)
by Shuowen Chen & Victor Chernozhukov & Iván Fernández-Val - Fixed Effects Estimation of Large-TPanel Data Models (RePEc:anr:reveco:v:10:y:2018:p:109-138)
by Iván Fernández-Val & Martin Weidner - Quantile and Probability Curves Without Crossing (RePEc:arx:papers:0704.3649)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Improving Estimates of Monotone Functions by Rearrangement (RePEc:arx:papers:0704.3686)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Rearranging Edgeworth-Cornish-Fisher Expansions (RePEc:arx:papers:0708.1627)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Improving Point and Interval Estimates of Monotone Functions by Rearrangement (RePEc:arx:papers:0806.4730)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Inference on Counterfactual Distributions (RePEc:arx:papers:0904.0951)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly - Average and Quantile Effects in Nonseparable Panel Models (RePEc:arx:papers:0904.1990)
by Victor Chernozhukov & Ivan Fernandez-Val & Jinyong Hahn & Whitney Newey - Inference for Extremal Conditional Quantile Models, with an Application to Market and Birthweight Risks (RePEc:arx:papers:0912.5013)
by Victor Chernozhukov & Ivan Fernandez-Val - Quantile Regression with Censoring and Endogeneity (RePEc:arx:papers:1104.4580)
by Victor Chernozhukov & Ivan Fernandez-Val & Amanda Kowalski - Panel Data Models with Nonadditive Unobserved Heterogeneity: Estimation and Inference (RePEc:arx:papers:1206.2966)
by Ivan Fernandez-Val & Joonhwah Lee - Individual and Time Effects in Nonlinear Panel Models with Large N, T (RePEc:arx:papers:1311.7065)
by Ivan Fernandez-Val & Martin Weidner - Nonparametric Identification in Panels using Quantiles (RePEc:arx:papers:1312.4094)
by Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Hajo Holzmann & Whitney Newey - Nonlinear Factor Models for Network and Panel Data (RePEc:arx:papers:1412.5647)
by Mingli Chen & Iv'an Fern'andez-Val & Martin Weidner - The Sorted Effects Method: Discovering Heterogeneous Effects Beyond Their Averages (RePEc:arx:papers:1512.05635)
by Victor Chernozhukov & Ivan Fernandez-Val & Ye Luo - probitfe and logitfe: Bias corrections for probit and logit models with two-way fixed effects (RePEc:arx:papers:1610.07714)
by Mario Cruz-Gonzalez & Ivan Fernandez-Val & Martin Weidner - Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India (RePEc:arx:papers:1712.04802)
by Victor Chernozhukov & Mert Demirer & Esther Duflo & Iv'an Fern'andez-Val - Dynamic Heterogeneous Distribution Regression Panel Models, with an Application to Labor Income Processes (RePEc:arx:papers:2202.04154)
by Ivan Fernandez-Val & Wayne Yuan Gao & Yuan Liao & Francis Vella - Inference on counterfactual distributions (RePEc:azt:cemmap:05/12)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly - Inference on counterfactual distributions (RePEc:azt:cemmap:09/09)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly - Distribution regression with sample selection and UK wage decomposition (RePEc:azt:cemmap:09/23)
by Victor Chernozhukov & Ivan Fernandez-Val & Siyi Luo - Arellano-bond lasso estimator for dynamic linear panel models (RePEc:azt:cemmap:09/24)
by Victor Chernozhukov & Ivan Fernandez-Val & Chen Huang & Weining Wang - Program evaluation and causal inference with high-dimensional data (RePEc:azt:cemmap:13/16)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - Inference on counterfactual distributions (RePEc:azt:cemmap:17/13)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly - Individual and time effects in nonlinear panel models with large N , T (RePEc:azt:cemmap:17/15)
by Ivan Fernandez-Val & Martin Weidner - Generic inference on quantile and quantile effect functions for discrete outcomes (RePEc:azt:cemmap:23/17)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar Wüthrich - Quantreg.nonpar: an R package for performing nonparametric series quantile regression (RePEc:azt:cemmap:29/17)
by Michael Lipsitz & Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val - Individual and time effects in nonlinear panel models with large N , T (RePEc:azt:cemmap:32/14)
by Ivan Fernandez-Val & Martin Weidner - Program evaluation with high-dimensional data (RePEc:azt:cemmap:33/14)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - Nonseparable multinomial choice models in cross-section and panel data (RePEc:azt:cemmap:33/17)
by Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey - Generic inference on quantile and quantile effect functions for discrete outcomes (RePEc:azt:cemmap:35/16)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar Wüthrich - Fixed effect estimation of large T panel data models (RePEc:azt:cemmap:42/17)
by Ivan Fernandez-Val & Martin Weidner - Conditional quantile processes based on series or many regressors (RePEc:azt:cemmap:46/16)
by Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Ivan Fernandez-Val - Semiparametric estimation of structural functions in nonseparable triangular models (RePEc:azt:cemmap:48/17)
by Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey & Sami Stouli & Francis Vella - Nonparametric identification in panels using quantiles (RePEc:azt:cemmap:54/14)
by Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Whitney K. Newey - Program evaluation with high-dimensional data (RePEc:azt:cemmap:55/15)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - Program evaluation with high-dimensional data (RePEc:azt:cemmap:57/13)
by Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - Individual and time effects in nonlinear panel models with large N, T (RePEc:azt:cemmap:60/13)
by Ivan Fernandez-Val & Martin Weidner - Generic machine learning inference on heterogenous treatment effects in randomized experiments (RePEc:azt:cemmap:61/17)
by Victor Chernozhukov & Mert Demirer & Esther Duflo & Ivan Fernandez-Val - Counterfactual analysis in R: a vignette (RePEc:azt:cemmap:64/17)
by Mingli Chen & Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly - Extremal quantile regression: an overview (RePEc:azt:cemmap:65/17)
by Victor Chernozhukov & Ivan Fernandez-Val & Tetsuya Kaji - Nonparametric identification in panels using quantiles (RePEc:azt:cemmap:66/13)
by Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Hajo Holzmann & Whitney K. Newey - The sorted effects method: discovering heterogeneous effects beyond their averages (RePEc:azt:cemmap:74/15)
by Victor Chernozhukov & Ivan Fernandez-Val & Ye Luo - Program evaluation with high-dimensional data (RePEc:azt:cemmap:77/13)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - CQIV: Stata module to perform censored quantile instrumental variables regression (RePEc:boc:bocode:s457478)
by Victor Chernozhukov & Ivan Fernandez-Val & Sukjin Han & Amanda Kowalski - LOGITFE: Stata module to compute analytical and jackknife bias corrections for fixed effects estimators of panel logit models with individual and time effects (RePEc:boc:bocode:s458278)
by Mario Cruz-Gonzalez & Ivan Fernandez-Val & Martin Weidner - PROBITFE: Stata module to compute analytical and jackknife bias corrections for fixed effects estimators of panel probit models with individual and time effects (RePEc:boc:bocode:s458279)
by Mario Cruz-Gonzalez & Ivan Fernandez-Val & Martin Weidner - QRPROCESS: Stata module for quantile regression: fast algorithm, pointwise and uniform inference (RePEc:boc:bocode:s458763)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly - Bias Correction in Panel Data Models with Individual Specific Parameters (RePEc:bos:wpaper:wp2005-041)
by Ivan Fernandez-Val - Estimation of Structural Parameters and Marginal Effects in Binary Choice Panel Data Models with Fixed Effects (RePEc:bos:wpaper:wp2005-38)
by Ivan Fernandez-Val - Fixed Effects Estimation of Structural Parameters and Marginal Effects in Panel Probit Models (RePEc:bos:wpaper:wp2007-009)
by Ivan Fernandez-Val - Bias Corrections for Two-Step Fixed Effects Panel Data Estimators (RePEc:bos:wpaper:wp2007-010)
by Francis Vella & Ivan Fernandez-Val - Quantile And Probability Curves Without Crossing (RePEc:bos:wpaper:wp2007-011)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Improving Estimates Of Monotone Functions By Rearrangement (RePEc:bos:wpaper:wp2007-012)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Inference On Counterfactual Distributions (RePEc:bos:wpaper:wp2008-005)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly - Quantile and Average Effects in Nonseparable Panel Models (RePEc:bos:wpaper:wp2009-011)
by V. Chernozhukov & Ivan Fernandez-Val - Censored Quantile Instrumental Variable Estimation via Control Functions (RePEc:bos:wpaper:wp2009-012)
by Victor Chernozhukov & Ivan Fernandez-Val & Amanda E. Kowalski - Identification and Estimation of Marginal Effects in Nonlinear Panel Models (RePEc:bos:wpaper:wp2009-b)
by Victor Chernozhukov & Ivan Fernandez-Val & Jinyong Hahn & Whitney Newey - Panel Data Models with Nonadditive Unobserved Heterogeneity: Estimation and Inference (RePEc:bos:wpaper:wp2010-001)
by Iván Fernández-Val & Joonhwan Lee - Semiparametric Estimation of Structural Functions in Nonseparable Triangular Models (RePEc:bri:uobdis:17/690)
by Victor Chernozhukov & Iván Fernández-Val & Whitney Newey & Sami Stouli & Francis Vella - Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes (RePEc:cdl:ucsdec:qt5zm6m9rq)
by Chernozhukov, Victor & Fernández-Val, Iván & Melly, Blaise & Wüthrich, Kaspar - Quantile Regression with Censoring and Endogeneity (RePEc:cwl:cwldpp:1797)
by Victor Chernozhukov & Ivan Fernandez-Val & Amanda Kowalski - Censored Quantile Instrumental Variable Estimation with Stata (RePEc:cwl:cwldpp:2120)
by Victor Chernozhukov & Iv'n Fern'ndez-Val & Sukjin Han & Amanda E. Kowalski - The Consequences of Teenage Childbearing: Consistent Estimates When Abortion Makes Miscarriage Non‐random (RePEc:ecj:econjl:v:123:y:2013:i::p:875-905)
by Adam Ashcraft & Iván Fernández‐Val & Kevin Lang - Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure (RePEc:ecm:emetrp:v:74:y:2006:i:2:p:539-563)
by Joshua Angrist & Victor Chernozhukov & Iván Fernández-Val - Quantile and Probability Curves Without Crossing (RePEc:ecm:emetrp:v:78:y:2010:i:3:p:1093-1125)
by Victor Chernozhukov & Iv·n Fern·ndez-Val & Alfred Galichon - Average and Quantile Effects in Nonseparable Panel Models (RePEc:ecm:emetrp:v:81:y:2013:i:2:p:535-580)
by Victor Chernozhukov & Iván Fernández‐Val & Jinyong Hahn & Whitney Newey - Inference on Counterfactual Distributions (RePEc:ecm:emetrp:v:81:y:2013:i:6:p:2205-2268)
by Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly - Quantile Regression under Misspecification (RePEc:ecm:nawm04:198)
by I. Fernandez-Val & J. Angrist & V. Chernozhukov - Panel data models with nonadditive unobserved heterogeneity: Estimation and inference (RePEc:ecm:quante:v:4:y:2013:i:3:p:453-481)
by Iván Fernández‐Val & Joonhwah Lee - Fixed effects estimation of structural parameters and marginal effects in panel probit models (RePEc:eee:econom:v:150:y:2009:i:1:p:71-85)
by Fernández-Val, Iván - Bias corrections for two-step fixed effects panel data estimators (RePEc:eee:econom:v:163:y:2011:i:2:p:144-162)
by Fernández-Val, Iván & Vella, Francis - Quantile regression with censoring and endogeneity (RePEc:eee:econom:v:186:y:2015:i:1:p:201-221)
by Chernozhukov, Victor & Fernández-Val, Iván & Kowalski, Amanda E. - Nonparametric identification in panels using quantiles (RePEc:eee:econom:v:188:y:2015:i:2:p:378-392)
by Chernozhukov, Victor & Fernández-Val, Iván & Hoderlein, Stefan & Holzmann, Hajo & Newey, Whitney - Individual and time effects in nonlinear panel models with large N, T (RePEc:eee:econom:v:192:y:2016:i:1:p:291-312)
by Fernández-Val, Iván & Weidner, Martin - Nonseparable multinomial choice models in cross-section and panel data (RePEc:eee:econom:v:211:y:2019:i:1:p:104-116)
by Chernozhukov, Victor & Fernández-Val, Iván & Newey, Whitney K. - Conditional quantile processes based on series or many regressors (RePEc:eee:econom:v:213:y:2019:i:1:p:4-29)
by Belloni, Alexandre & Chernozhukov, Victor & Chetverikov, Denis & Fernández-Val, Iván - Nonlinear factor models for network and panel data (RePEc:eee:econom:v:220:y:2021:i:2:p:296-324)
by Chen, Mingli & Fernández-Val, Iván & Weidner, Martin - Network and panel quantile effects via distribution regression (RePEc:eee:econom:v:240:y:2024:i:2:s0304407620303390)
by Chernozhukov, Victor & Fernández-Val, Iván & Weidner, Martin - Nonseparable sample selection models with censored selection rules (RePEc:eee:econom:v:240:y:2024:i:2:s0304407621000567)
by Fernández-Val, Ivan & van Vuuren, Aico & Vella, Francis - Evaluating the role of income, state dependence and individual specific heterogeneity in the determination of subjective health assessments (RePEc:eee:ehbiol:v:25:y:2017:i:c:p:85-98)
by Fernández-Val, Iván & Savchenko, Yevgeniya & Vella, Francis - Quantile and Probability Curves without Crossing (RePEc:hal:journl:hal-01052958)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Rearranging Edgeworth-Cornish-Fisher Expansions (RePEc:hal:journl:hal-03588300)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Improving point and interval estimators of monotone functions by rearrangement (RePEc:hal:journl:hal-03596970)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Quantile and Probability Curves without Crossing (RePEc:hal:spmain:hal-01052958)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Rearranging Edgeworth-Cornish-Fisher Expansions (RePEc:hal:spmain:hal-03588300)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Improving point and interval estimators of monotone functions by rearrangement (RePEc:hal:spmain:hal-03596970)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Fischer-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India (RePEc:hal:wpaper:hal-04238425)
by Victor Chernozhukov & Mert Demirer & Esther Duflo & Iván Fernández-Val - Nonseparable Sample Selection Models with Censored Selection Rules (RePEc:hhs:gunwpe:0716)
by Fernandez-Val , Ivan & van Vuuren, Aico & Vella, Francis - Household labor supply: evidence for Spain (RePEc:iec:inveco:v:27:y:2003:i:2:p:239-275)
by Iván Fernández Val - Bias corrections for two-step fixed effects panel data estimators (RePEc:ifs:cemmap:04/07)
by Ivan Fernandez-Val & Francis Vella - Identification and estimation of marginal effects in nonlinear panel models (RePEc:ifs:cemmap:05/09)
by Victor Chernozhukov & Ivan Fernandez-Val & Jinyong Hahn & Whitney K. Newey - Inference on counterfactual distributions (RePEc:ifs:cemmap:05/12)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly - Improving estimates of monotone functions by rearrangement (RePEc:ifs:cemmap:09/07)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Inference on counterfactual distributions (RePEc:ifs:cemmap:09/09)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly - Quantile and probability curves without crossing (RePEc:ifs:cemmap:10/07)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Nonseparable sample selection models with censored selection rules (RePEc:ifs:cemmap:10/18)
by Ivan Fernandez-Val & Aico van Vuuren & Francis Vella - Low-rank approximations of nonseparable panel models (RePEc:ifs:cemmap:10/21)
by Ivan Fernandez-Val & Hugo Freeman & Martin Weidner - Program evaluation and causal inference with high-dimensional data (RePEc:ifs:cemmap:13/16)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - Improving point and interval estimates of monotone functions by rearrangement (RePEc:ifs:cemmap:17/08)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Inference on counterfactual distributions (RePEc:ifs:cemmap:17/13)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly - Individual and time effects in nonlinear panel models with large N, T (RePEc:ifs:cemmap:17/15)
by Ivan Fernandez-Val & Martin Weidner - Nonlinear factor models for network and panel data (RePEc:ifs:cemmap:18/19)
by Mingli Chen & Ivan Fernandez-Val & Martin Weidner - Rearranging Edgeworth-Cornish-Fisher expansions (RePEc:ifs:cemmap:19/07)
by Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon - Conditional quantile processes based on series or many regressors (RePEc:ifs:cemmap:19/11)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val - Quantile regression with censoring and endogeneity (RePEc:ifs:cemmap:20/11)
by Victor Chernozhukov & Ivan Fernandez-Val & Amanda Kowalski - Network and panel quantile effects via distribution regression (RePEc:ifs:cemmap:21/18)
by Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner - Fixed effect estimation of large T panel data models (RePEc:ifs:cemmap:22/18)
by Ivan Fernandez-Val & Martin Weidner - Generic inference on quantile and quantile effect functions for discrete outcomes (RePEc:ifs:cemmap:23/17)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar Wüthrich - Identification and estimation of marginal effects in nonlinear panel models (RePEc:ifs:cemmap:25/08)
by Victor Chernozhukov & Ivan Fernandez-Val & Jinyong Hahn & Whitney K. Newey - Network and Panel Quantile Effects Via Distribution Regression (RePEc:ifs:cemmap:27/20)
by Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner - Quantile and average effects in nonseparable panel models (RePEc:ifs:cemmap:29/09)
by Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey - Quantreg.nonpar: an R package for performing nonparametric series quantile regression (RePEc:ifs:cemmap:29/17)
by Michael Lipsitz & Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val - Individual and time effects in nonlinear panel models with large N, T (RePEc:ifs:cemmap:32/14)
by Ivan Fernandez-Val & Martin Weidner - Program evaluation with high-dimensional data (RePEc:ifs:cemmap:33/14)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - Nonseparable multinomial choice models in cross-section and panel data (RePEc:ifs:cemmap:33/17)
by Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey - Mastering Panel Metrics: Causal Impact of Democracy on Growth (RePEc:ifs:cemmap:33/19)
by Shuowen Chen & Victor Chernozhukov & Ivan Fernandez-Val - Generic inference on quantile and quantile effect functions for discrete outcomes (RePEc:ifs:cemmap:35/16)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar Wüthrich - Nonlinear factor models for network and panel data (RePEc:ifs:cemmap:38/18)
by Mingli Chen & Ivan Fernandez-Val & Martin Weidner - Inference for extremal conditional quantile models, with an application to market and birthweight risks (RePEc:ifs:cemmap:40/11)
by Victor Chernozhukov & Ivan Fernandez-Val - Fixed effect estimation of large T panel data models (RePEc:ifs:cemmap:42/17)
by Ivan Fernandez-Val & Martin Weidner - Conditional quantile processes based on series or many regressors (RePEc:ifs:cemmap:46/16)
by Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Ivan Fernandez-Val - Semiparametric estimation of structural functions in nonseparable triangular models (RePEc:ifs:cemmap:48/17)
by Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey & Sami Stouli & Francis Vella - Low-rank approximations of nonseparable panel models (RePEc:ifs:cemmap:52/20)
by Ivan Fernandez-Val & Hugo Freeman & Martin Weidner - Nonparametric identification in panels using quantiles (RePEc:ifs:cemmap:54/14)
by Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Whitney K. Newey - Program evaluation with high-dimensional data (RePEc:ifs:cemmap:55/15)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - Program evaluation with high-dimensional data (RePEc:ifs:cemmap:57/13)
by Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - Individual and time effects in nonlinear panel models with large N, T (RePEc:ifs:cemmap:60/13)
by Ivan Fernandez-Val & Martin Weidner - Generic machine learning inference on heterogenous treatment effects in randomized experiments (RePEc:ifs:cemmap:61/17)
by Victor Chernozhukov & Mert Demirer & Esther Duflo & Ivan Fernandez-Val - Decomposing Changes in the Distribution of Real Hourly Wages in the U.S (RePEc:ifs:cemmap:61/19)
by Ivan Fernandez-Val & Franco Peracchi & Francis Vella & Aico van Vuuren - Counterfactual analysis in R: a vignette (RePEc:ifs:cemmap:64/17)
by Mingli Chen & Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly - Extremal quantile regression: an overview (RePEc:ifs:cemmap:65/17)
by Victor Chernozhukov & Ivan Fernandez-Val & Tetsuya Kaji - Nonparametric identification in panels using quantiles (RePEc:ifs:cemmap:66/13)
by Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Hajo Holzmann & Whitney K. Newey - Distribution regression with sample selection, with an application to wage decompositions in the UK (RePEc:ifs:cemmap:68/18)
by Victor Chernozhukov & Ivan Fernandez-Val & Siyi Luo - Network and panel quantile effects via distribution regression (RePEc:ifs:cemmap:70/18)
by Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner - The sorted effects method: discovering heterogeneous effects beyond their averages (RePEc:ifs:cemmap:74/15)
by Victor Chernozhukov & Ivan Fernandez-Val & Ye Luo - Program evaluation with high-dimensional data (RePEc:ifs:cemmap:77/13)
by Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val & Christian Hansen - Nonseparable Sample Selection Models with Censored Selection Rules: An Application to Wage Decompositions (RePEc:iza:izadps:dp11294)
by Fernández-Val, Iván & van Vuuren, Aico & Vella, Francis - Decomposing Real Wage Changes in the United States (RePEc:iza:izadps:dp12044)
by Fernández-Val, Iván & van Vuuren, Aico & Vella, Francis - Hours Worked and the U.S. Distribution of Real Annual Earnings 1976–2016 (RePEc:iza:izadps:dp13016)
by Fernández-Val, Iván & Peracchi, Franco & van Vuuren, Aico & Vella, Francis - Selection and the Distribution of Female Hourly Wages in the U.S (RePEc:iza:izadps:dp15028)
by Fernández-Val, Iván & van Vuuren, Aico & Vella, Francis & Peracchi, Franco - Dynamic Heterogeneous Distribution Regression Panel Models, with an Application to Labor Income Processes (RePEc:iza:izadps:dp15236)
by Fernández-Val, Iván & Gao, Wayne Yuan & Liao, Yuan & Vella, Francis - Marital Sorting, Household Inequality and Selection (RePEc:iza:izadps:dp16513)
by Fernández-Val, Iván & van Vuuren, Aico & Vella, Francis - Distribution Regression Difference-in-Differences (RePEc:iza:izadps:dp17264)
by Fernández-Val, Iván & Meier, Jonas & van Vuuren, Aico & Vella, Francis - Conditional Rank-Rank Regression (RePEc:iza:izadps:dp17591)
by Chernozhukov, Victor & Fernández-Val, Iván & Meier, Jonas & van Vuuren, Aico & Vella, Francis - Bias Corrections for Two-Step Fixed Effects Panel Data Estimators (RePEc:iza:izadps:dp2690)
by Fernández-Val, Iván & Vella, Francis - Evaluating the Role of Individual Specific Heterogeneity in the Relationship Between Subjective Health Assessments and Income (RePEc:iza:izadps:dp7651)
by Fernández-Val, Iván & Savchenko, Yevgeniya & Vella, Francis - Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure (RePEc:nbr:nberwo:10428)
by Joshua Angrist & Victor Chernozhukov & Ivan Fernandez-Val - ExtrapoLATE-ing: External Validity and Overidentification in the LATE Framework (RePEc:nbr:nberwo:16566)
by Joshua Angrist & Ivan Fernandez-Val - Quantile Regression with Censoring and Endogeneity (RePEc:nbr:nberwo:16997)
by Victor Chernozhukov & Iván Fernández-Val & Amanda E. Kowalski - Censored Quantile Instrumental Variable Estimation with Stata (RePEc:nbr:nberwo:24232)
by Victor Chernozhukov & Iván Fernández-Val & Sukjin Han & Amanda Kowalski - Generic Machine Learning Inference on Heterogeneous Treatment Effects in Randomized Experiments, with an Application to Immunization in India (RePEc:nbr:nberwo:24678)
by Victor Chernozhukov & Mert Demirer & Esther Duflo & Iván Fernández-Val - Improving point and interval estimators of monotone functions by rearrangement (RePEc:oup:biomet:v:96:y:2009:i:3:p:559-575)
by V. Chernozhukov & I. Fernández-Val & A. Galichon - Low-rank approximations of nonseparable panel models (RePEc:oup:emjrnl:v:24:y:2021:i:2:p:c40-c77.)
by Hugo Freeman & Martin Weidner - Philip G. Wright, directed acyclic graphs, and instrumental variables (RePEc:oup:emjrnl:v:28:y:2025:i:1:p:1-20.)
by Jaap H Abbring & Victor Chernozhukov & Iván Fernández-Val - Inference for Extremal Conditional Quantile Models, with an Application to Market and Birthweight Risks (RePEc:oup:restud:v:78:y:2011:i:2:p:559-589)
by Victor Chernozhukov & Iván Fernández-Val - Unknown item RePEc:spo:wpmain:info:hdl:2441/5rkqqmvrn4tl22s9mc4b6ga2g (paper)
- Fast algorithms for the quantile regression process (RePEc:spr:empeco:v:62:y:2022:i:1:d:10.1007_s00181-020-01898-0)
by Victor Chernozhukov & Iván Fernández-Val & Blaise Melly - Rearranging Edgeworth–Cornish–Fisher expansions (RePEc:spr:joecth:v:42:y:2010:i:2:p:419-435)
by Victor Chernozhukov & Iván Fernández-Val & Alfred Galichon - Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes (RePEc:taf:jnlasa:v:115:y:2020:i:529:p:123-137)
by Victor Chernozhukov & Iván Fernández-Val & Blaise Melly & Kaspar Wüthrich - Parametric Modeling of Quantile Regression Coefficient Functions With Longitudinal Data (RePEc:taf:jnlasa:v:116:y:2021:i:534:p:783-797)
by Paolo Frumento & Matteo Bottai & Iván Fernández-Val - Censored quantile instrumental-variable estimation with Stata (RePEc:tsj:stataj:v:19:y:2019:i:4:p:768-781)
by Victor Chernozhukov & Ivan Fernández-Val & Sukjin Han & Amanda Kowalski - Bias corrections for probit and logit models with two-way fixed effects (RePEc:tsj:stataj:y:17:y:2017:i:3:p:517-545)
by Mario Cruz-Gonzalez & Iván Fernández-Val & Martin Weidner - Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes (RePEc:ube:dpvwib:dp1607)
by Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly & Kaspar W thrich - Program Evaluation and Causal Inference With High‐Dimensional Data (RePEc:wly:emetrp:v:85:y:2017:i::p:233-298)
by A. Belloni & V. Chernozhukov & I. Fernández‐Val & C. Hansen - The Sorted Effects Method: Discovering Heterogeneous Effects Beyond Their Averages (RePEc:wly:emetrp:v:86:y:2018:i:6:p:1911-1938)
by Victor Chernozhukov & Iván Fernández‐Val & Ye Luo - Semiparametric estimation of structural functions in nonseparable triangular models (RePEc:wly:quante:v:11:y:2020:i:2:p:503-533)
by Victor Chernozhukov & Iván Fernández‐Val & Whitney Newey & Sami Stouli & Francis Vella