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Resampling and bootstrap to assess the relevance of variables : a new algorithmic approach with applications to entrepreneurship data
Gimenez-Nadal, José Ignacio; Lafuente, Miguel; Molina, … - 2016
In this paper, we propose an algorithmic approach based on resampling and bootstrap techniques to measuring the …
Persistent link: https://www.econbiz.de/10011476420
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The Romano-Wolf multiple hypothesis correction in Stata
Clarke, Damian; Romano, Joseph P.; Wolf, Michael - 2019
When considering multiple hypothesis tests simultaneously, standard statistical techniques will lead to over-rejection of null hypotheses unless the multiplicity of the testing framework is explicitly considered. In this paper we discuss the Romano-Wolf multiple hypothesis correction, and...
Persistent link: https://www.econbiz.de/10012147332
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When, where and how to perform efficiency estimation
Badunenko, Oleg; Henderson, Daniel J.; Kumbhakar, Subal - 2011
. -- bootstrap ; nonparametric kernel ; technical efficiency …
Persistent link: https://www.econbiz.de/10009422459
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Bootstrap inference for K-nearest neighbour matching estimators
DeLuna, Xavier; Johansson, Per-Olov; Sjöstedt-de Luna, Sara - 2010
Abadie and Imbens (2008, Econometrica) showed that classical bootstrap schemes fail to provide correct inference for K …-nearest neighbour (KNN) matching estimators of average causal effects. This is an interesting result showing that bootstrap should not … respect to the matching covariate, we obtain a bootstrap scheme valid also with heterogeneous causal effects where mild …
Persistent link: https://www.econbiz.de/10009312907
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Estimation in a duration model for evaluating educational programs
Brännäs, Kurt - 2000
The paper proposes two estimation approaches for duration models that are subject to right censored observations and selection effects. Main focus is on accelerated duration models and the estimators that are of the limited information type, i.e. they are not based on a fully specified selection...
Persistent link: https://www.econbiz.de/10011318601
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Wild bootstrap for fuzzy regression discontinuity designs : obtaining robust bias-corrected confidence intervals
He, Yang; Bartalotti, Otávio - 2019
This paper develops a novel wild bootstrap procedure to construct robust bias-corrected (RBC) valid confidence …
Persistent link: https://www.econbiz.de/10012139158
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Dynamic heterogeneous distribution regression panel models, with an application to labor income processes
Fernández-Val, Iván; Gao, Wayne Yuan; Liao, Yuan; … - 2022
methods, which are debiased to deal with the incidental parameter problem. We propose a cross-sectional bootstrap method for …
Persistent link: https://www.econbiz.de/10013187158
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Programme evaluation with multiple treatments
Frölich, Markus - 2002
This paper reviews the main identification and estimation strategies for microeconomic policy evaluation. Particular emphasis is laid on evaluating policies consisting of multiple programmes, which is of high relevance in practice. For example, active labour market policies may consist of...
Persistent link: https://www.econbiz.de/10011412411
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Endogenous wage and capital dispersion, on-the-job search and the matching technology
Galindo-Rueda, Fernando - 2002
This paper presents a new model of endogenous wage and capital dispersion where heterogeneity is driven by entrepreneurial incentives to pay higher wages in order to attract and retain workers. The main contribution of this model is to provide a framework with microeconomic foundations that give...
Persistent link: https://www.econbiz.de/10011414689
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No better moment to score a goal than just before half time? : a soccer myth statistically tested
Baert, Stijn; Amez, Simon - 2016
We test the soccer myth suggesting that a particularly good moment to score a goal is just before half time. To this end, rich data on 1,179 games played in the UEFA Champions League and UEFA Europa League are analysed. In contrast to the myth, we find that, conditional on the goal difference...
Persistent link: https://www.econbiz.de/10011484373