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~person:"Fernández-Val, Iván"
~subject:"Extreme Value Theory"
~subject:"Quantile regression"
~subject:"policy analysis"
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Extreme Value Theory
Quantile regression
policy analysis
Nichtparametrisches Verfahren
8
Regression analysis
8
Regressionsanalyse
8
Nonparametric statistics
7
quantile regression
7
Bootstrap-Verfahren
6
distribution regression
6
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5
duration/transformation regression
5
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4
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4
Lohnstruktur
4
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counterfactual distribution
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unconditional quantile and distribution effects
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policy effects
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weighted bootstrap
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Fernández-Val, Iván
Asongu, Simplice A.
21
Asongu, Simplice
19
Lamarche, Carlos
13
Chernozhukov, Victor
11
Scicchitano, Sergio
10
Chevapatrakul, Thanaset
9
Zhu, Huiming
9
Nowotarski, Jakub
8
Uddin, Mohammed Gazi Salah
8
Biagetti, Marco
7
Koumenta, Maria
7
Pagliero, Mario
7
Park, Sung Y.
7
Rostam-Afschar, Davud
7
Yu, Keming
7
Bekiros, Stelios
6
Das, Debojyoti
6
Ding, Haoyuan
6
Furno, Marilena
6
Galvão Júnior, Antônio Fialho
6
Hammoudeh, Shawkat
6
Lee, Chien-chiang
6
Maciejowska, Katarzyna
6
Melly, Blaise
6
Tchamyou, Vanessa S.
6
Wohar, Mark E.
6
Asongu, Asongu Simplice
5
Belloni, Alexandre
5
Cai, Zongwu
5
Chaffai, Mustapha
5
Chen, Songnian
5
Grote, Ulrike
5
Kato, Kengo
5
Medhioub, Imed
5
Montes-Rojas, Gabriel
5
Panagiōtidēs, Theodōros
5
Singh, Abhay Kumar
5
Tiwari, Aviral Kumar
5
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5
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Econometrica : journal of the Econometric Society, an internat. society for the advancement of economic theory in its relation to statistics and mathematics
1
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1
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1
Conditional quantile processes based on series or many regressors
Belloni, Alexandre
;
Chernozhukov, Victor
;
Chetverikov, Denis
-
2016
-
This version of August 28, 2016
Quantile
regression
(QR) is a principal regression method for analyzing the impact of covariates on outcomes. The …
Persistent link: https://www.econbiz.de/10011525883
Saved in:
2
Conditional quantile processes based on series or many regressors
Belloni, Alexandre
;
Chernozhukov, Victor
;
Četverikov, …
- In:
Journal of econometrics
213
(
2019
)
1
,
pp. 4-29
Persistent link: https://www.econbiz.de/10012304540
Saved in:
3
Inference on counterfactual distributions
Chernozhukov, Victor
;
Fernández-Val, Iván
;
Melly, Blaise
-
Centre for Microdata Methods and Practice (CEMMAP)
-
2013
alternative to
quantile
regression
. We establish functional central limit theorems and bootstrap validity results for the …
Persistent link: https://www.econbiz.de/10010660012
Saved in:
4
Inference on counterfactual distributions
Chernozhukov, Victor
;
Fernández-Val, Iván
;
Melly, Blaise
-
2013
a useful alternative to
quantile
regression
. We establish functional central limit theorems and bootstrap validity …
Persistent link: https://www.econbiz.de/10009741375
Saved in:
5
Conditional quantile processes based on series or many regressors
Belloni, Alexandre
;
Chernozhukov, Victor
; …
-
2011
Persistent link: https://www.econbiz.de/10009271205
Saved in:
6
Conditional quantile processes based on series or many regressors
Belloni, Alexandre
;
Chernozhukov, Victor
; …
-
2011
Quantile
regression
(QR) is a principal regression method for analyzing the impact of covariates on outcomes. The … unobserved propensity for gasoline consumption. --
Quantile
regression
series processes ; uniform inference …
Persistent link: https://www.econbiz.de/10009153247
Saved in:
7
Inference for extremal conditional quantile models, with an application to market and birthweight risks
Chernozhukov, Victor
;
Fernández-Val, Iván
-
2009
Quantile
regression
is an increasingly important empirical tool in economics and other sciences for analyzing the … impact of a set of regressors on the conditional distribution of an outcome. Extremal
quantile
regression
, or
quantile
… conditional quantile models that rely upon extreme value approximations to the distribution of self-normalized
quantile
regression
…
Persistent link: https://www.econbiz.de/10010288297
Saved in:
8
Inference on counterfactual distributions
Chernozhukov, Victor
;
Fernández-Val, Iván
;
Melly, Blaise
- In:
Econometrica : journal of the Econometric Society, an …
81
(
2013
)
6
,
pp. 2205-2268
Persistent link: https://www.econbiz.de/10010237411
Saved in:
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