Articles with public access mandates - Ivan Fernandez-ValLearn more
Available somewhere: 19
Individual and time effects in nonlinear panel models with large N, T
I Fernández-Val, M Weidner
Journal of Econometrics 192 (1), 291-312, 2016
Mandates: US National Science Foundation, UK Economic and Social Research Council
The consequences of teenage childbearing: Consistent estimates when abortion makes miscarriage non‐random
A Ashcraft, I Fernández‐Val, K Lang
The Economic Journal 123 (571), 875-905, 2013
Mandates: US National Institutes of Health
Conditional quantile processes based on series or many regressors
A Belloni, V Chernozhukov, D Chetverikov, I Fernández-Val
Journal of Econometrics 213 (1), 4-29, 2019
Mandates: US National Science Foundation
Nonlinear factor models for network and panel data
M Chen, I Fernández-Val, M Weidner
Journal of Econometrics 220 (2), 296-324, 2021
Mandates: US National Science Foundation, UK Economic and Social Research Council …
Fixed Effects Estimation of Large-TPanel Data Models
I Fernández-Val, M Weidner
Annual Review of Economics 10 (1), 109-138, 2018
Mandates: US National Science Foundation, UK Economic and Social Research Council …
Bias corrections for probit and logit models with two-way fixed effects
M Cruz-Gonzalez, I Fernández-Val, M Weidner
The Stata Journal 17 (3), 517-545, 2017
Mandates: US National Science Foundation, UK Economic and Social Research Council …
Generic inference on quantile and quantile effect functions for discrete outcomes
V Chernozhukov, I Fernandez-Val, B Melly, K Wüthrich
Journal of the American Statistical Association, 2020
Mandates: US National Science Foundation, Swiss National Science Foundation
Network and panel quantile effects via distribution regression
V Chernozhukov, I Fernandez-Val, M Weidner
Journal of Econometrics, 105009, 2020
Mandates: US National Science Foundation, UK Economic and Social Research Council …
Mastering panel metrics: causal impact of democracy on growth
S Chen, V Chernozhukov, I Fernández-Val
AEA Papers and Proceedings 109, 77-82, 2019
Mandates: US National Science Foundation, Government of Spain
Semiparametric estimation of structural functions in nonseparable triangular models
V Chernozhukov, I Fernández‐Val, W Newey, S Stouli, F Vella
Quantitative Economics 11 (2), 503-533, 2020
Mandates: US National Science Foundation, UK Economic and Social Research Council
Nonseparable multinomial choice models in cross-section and panel data
V Chernozhukov, I Fernández-Val, WK Newey
Journal of econometrics 211 (1), 104-116, 2019
Mandates: US National Science Foundation
Low-rank approximations of nonseparable panel models
I Fernández-Val, H Freeman, M Weidner
The Econometrics Journal 24 (2), C40-C77, 2021
Mandates: UK Economic and Social Research Council, European Commission
Nonseparable sample selection models with censored selection rules
I Fernández-Val, A van Vuuren, F Vella
Journal of Econometrics, 105088, 2021
Mandates: Swedish Research Council
Shape-enforcing operators for point and interval estimators
X Chen, V Chernozhukov, I Fernández-Val, S Kostyshak, Y Luo
arXiv preprint arXiv:1809.01038, 2018
Mandates: US National Science Foundation, Government of Spain, Research Grants Council …
Counterfactual analysis in R $ aa vignette
M Chen, V Chernozhukov, I Fernández-Val, B Melly
cemmap working paper, 2017
Mandates: US National Science Foundation
Selection and the distribution of female real hourly wages in the United States
I Fernández‐Val, A van Vuuren, F Vella, F Peracchi
Quantitative Economics 14 (2), 571-607, 2023
Mandates: Swedish Research Council
Supplement to ‘Selection and the distribution of female real hourly wages in the United States’
I Fernández-Val, A van Vuuren, F Vella, F Peracchi
Quantitative Economics Supplemental Material 14, 2023
Mandates: Swedish Research Council
Nonlinear factor models for network and panel data
I Fernández-Val, M Chen, M Weidner
Mandates: US National Science Foundation, UK Economic and Social Research Council …
Distribution regression with sample selection, with an application to wage decompositions in the UK
I Fernandez-Val, V Chernozhukov, S Luo
cemmap working paper, 2018
Mandates: US National Science Foundation
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