Le-Yu Chen : Citation Profile

Are you Le-Yu Chen?

Academia Sinica

3

H index

1

i10 index

26

Citations

RESEARCH PRODUCTION:

3

Articles

11

Papers

RESEARCH ACTIVITY:

   11 years (2007 - 2018). See details.
   Cites by year: 2
   Journals where Le-Yu Chen has often published
   Relations with other researchers
   Recent citing documents: 13.    Total self citations: 5 (16.13 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pch780
   Updated: 2018-11-17    RAS profile: 2017-12-30    
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Relations with other researchers

Works with:

Lee, Sokbae (Simon) (8)

Authors registered in RePEc who have co-authored more than one work in the last five years with Le-Yu Chen.

Is cited by:

Huber, Martin (13)

Frölich, Markus (4)

Mellace, Giovanni (3)

Kaplan, David (3)

Castagnetti, Carolina (2)

Andrews, Donald (1)

Wüthrich, Kaspar (1)

Kuan, Chung-Ming (1)

Fiorini, Mario (1)

Stevens, Katrien (1)

Cites to:

Manski, Charles (16)

Lee, Sokbae (Simon) (11)

Andrews, Donald (10)

Chen, Xiaohong (9)

LINTON, OLIVER (8)

Whang, Yoon-Jae (6)

Lewbel, Arthur (6)

Ichimura, Hidehiko (4)

Lieli, Robert (4)

Skouras, Spyros (4)

Horowitz, Joel (4)

Main data

Where Le-Yu Chen has published?

Working Papers Series with more than one paper published# docs
CeMMAP working papers / Centre for Microdata Methods and Practice, Institute for Fiscal Studies10

Recent works citing Le-Yu Chen (2018 and 2017)

YearTitle of citing document
2018Model Selection for Treatment Choice: Penalized Welfare Maximization. (2018). Mbakop, Eric ; Tabord-Meehan, Max. In: Papers. RePEc:arx:papers:1609.03167.

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2018Smoothed GMM for quantile models. (2018). Kaplan, David ; Liu, Xin ; Galvao, Antonio F ; de Castro, Luciano. In: Papers. RePEc:arx:papers:1707.03436.

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2018$k$-step correction for mixed integer linear programming: a new approach for instrumental variable quantile regressions and related problems. (2018). Zhu, Yinchu. In: Papers. RePEc:arx:papers:1805.06855.

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2017Does preschool boost the development of minority children?: the case of Roma children. (2017). Huber, Martin ; Felfe, Christina. In: Journal of the Royal Statistical Society Series A. RePEc:bla:jorssa:v:180:y:2017:i:2:p:475-502.

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2017Testing the validity of the compulsory schooling law instrument. (2017). Huber, Martin ; Bolzern, Benjamin. In: Economics Letters. RePEc:eee:ecolet:v:159:y:2017:i:c:p:23-27.

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2017Testing for central dominance: Method and application. (2017). Kuan, Chung-Ming ; Tzeng, Larry Y ; Chuang, O-Chia . In: Journal of Econometrics. RePEc:eee:econom:v:196:y:2017:i:2:p:368-378.

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2018Best subset binary prediction. (2018). Chen, Le-Yu ; Lee, Sokbae. In: Journal of Econometrics. RePEc:eee:econom:v:206:y:2018:i:1:p:39-56.

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2017Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review. (2017). Wüthrich, Kaspar ; Huber, Martin ; Wuthrich, Kaspar. In: FSES Working Papers. RePEc:fri:fribow:fribow00479.

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2017Testing the validity of the compulsory schooling law instrument. (2017). Huber, Martin ; Bolzern, Benjamin. In: FSES Working Papers. RePEc:fri:fribow:fribow00480.

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2018Discriminate Me – if You Can! The Disappearance of the Gender Pay Gap among Public-Contest Selected Employees. (2018). Castagnetti, Carolina ; Topfer, Marina ; Rosti, Luisa ; Castegnetti, Carolina. In: DEM Working Papers Series. RePEc:pav:demwpp:demwp0158.

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2018Smoothed instrumental variables quantile regression, with estimation of quantile Euler equations. (2018). Kaplan, David ; de Castro, Luciano ; Galvao, Antonio F. In: Working Papers. RePEc:umc:wpaper:1710.

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2018Smoothed GMM for quantile models. (2018). Kaplan, David ; Liu, Xin ; Galvao, Antonio F ; de Castro, Luciano. In: Working Papers. RePEc:umc:wpaper:1803.

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2018Discriminate me - if you can! The disappearance of the gender pay gap among public-contest selected employees. (2018). Castagnetti, Carolina ; Topfer, Marina ; Rosti, Luisa. In: Discussion Papers. RePEc:zbw:faulre:103.

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Works by Le-Yu Chen:

YearTitleTypeCited
2018Best Subset Binary Prediction In: Papers.
[Full Text][Citation analysis]		paper1
2017Best subset binary prediction.(2017) In: CeMMAP working papers.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 1		paper
2017IDENTIFICATION OF DISCRETE CHOICE DYNAMIC PROGRAMMING MODELS WITH NONPARAMETRIC DISTRIBUTION OF UNOBSERVABLES In: Econometric Theory.
[Full Text][Citation analysis]		article0
2014Testing multiple inequality hypotheses: A smoothed indicator approach In: Journal of Econometrics.
[Full Text][Citation analysis]		article12
2012Testing multiple inequality hypotheses: a smoothed indicator approach.(2012) In: CeMMAP working papers.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 12		paper
2007Semiparametric identification of structural dynamic optimal stopping time models In: CeMMAP working papers.
[Full Text][Citation analysis]		paper0
2009Identification of structural dynamic discrete choice models In: CeMMAP working papers.
[Full Text][Citation analysis]		paper0
2009Hypothesis testing of multiple inequalities: the method of constraint chaining In: CeMMAP working papers.
[Full Text][Citation analysis]		paper6
2013Maximum score estimation of preference parameters for a binary choice model under uncertainty In: CeMMAP working papers.
[Full Text][Citation analysis]		paper0
2015Breaking the curse of dimensionality in conditional moment inequalities for discrete choice models In: CeMMAP working papers.
[Full Text][Citation analysis]		paper1
2017Breaking the curse of dimensionality in conditional moment inequalities for discrete choice models.(2017) In: CeMMAP working papers.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 1		paper
2014Maximum score estimation with nonparametrically generated regressors In: CeMMAP working papers.
[Full Text][Citation analysis]		paper2
2014Maximum score estimation with nonparametrically generated regressors.(2014) In: Econometrics Journal.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 2		article
2017Exact computation of GMM estimators for instrumental variable quantile regression models In: CeMMAP working papers.
[Full Text][Citation analysis]		paper4

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