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~person:"Lechner, Michael"
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inverse probability weighting
6
Matching
4
Arbeitslosigkeit
3
Arbeitsmarktpolitik
3
Deutschland
3
Estimation theory
3
Germany
3
Induktive Statistik
3
Labour market policy
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3
Schätztheorie
3
Statistical inference
3
Unemployment
3
attrition
3
empirical Monte Carlo study
3
endogeneity
3
experiment
3
finite sample properties
3
instrument
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kernel matching
3
matching
3
selection on observables
3
treatment effects
3
variance estimation
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weighting
3
Bias
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Causality analysis
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Experiment
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IV-Schätzung
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2
Inference
2
Instrumental variables
2
Inverse probability weighting
2
Kausalanalyse
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Nichtparametrisches Verfahren
2
Nonparametric statistics
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Propensity score matching
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English
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Lechner, Michael
Huber, Martin
32
Fitzenberger, Bernd
12
Sommerfeld, Katrin
12
Steffes, Susanne
12
Bijwaard, Govert
11
Fehr-Duda, Helga
11
Rendtel, Ulrich
10
Zank, Horst
10
Albanese, Andrea
9
Breunig, Christoph
9
Dhami, Sanjit
8
Epper, Thomas
8
Frölich, Markus
8
Groneck, Max
8
Ludwig, Alexander
8
Wooldridge, Jeffrey M.
8
Zimper, Alexander
8
al-Nowaihi, Ali
8
Abdellaoui, Mohammed
7
Bleichrodt, Han
7
Grevenbrock, Nils
7
Jouini, Elyès
7
Napp, Clotilde
7
Takeshima, Hiroyuki
7
Winkelmann, Rainer
7
Anthoff, David
6
Bruhin, Adrian
6
Bönke, Timm
6
Cockx, Bart
6
Güth, Werner
6
Harin, Alexander
6
Pleus, Milan
6
Ploner, Matteo
6
Poldermans, Rutger
6
Rieger, Marc Oliver
6
Sadig, Husam
6
Schröder, Carsten
6
Schubert, Renate
6
Soraperra, Ivan
6
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School of Economics and Political Science, Universität St. Gallen
2
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ECONIS (ZBW)
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RePEc
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EconStor
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1
The finite sample performance of inference methods for propensity score matching and
weighting
estimators
Bodory, Hugo
;
Camponovo, Lorenzo
;
Huber, Martin
; …
- In:
Journal of business & economic statistics : JBES ; a …
38
(
2020
)
1
,
pp. 183-200
Persistent link: https://www.econbiz.de/10012179542
Saved in:
2
The Finite Sample Performance of Inference Methods for Propensity Score Matching and
Weighting
Estimators
Bodory, Hugo
;
Camponovo, Lorenzo
;
Huber, Martin
; …
-
2016
-based matching and
weighting
estimators frequently applied to evaluate the average treatment effect on the treated. We analyse both … ones in terms of size and power for both matching and
weighting
estimators. Furthermore, the results are qualitatively …
Persistent link: https://www.econbiz.de/10011479224
Saved in:
3
The finite sample performance of inference methods for propensity score matching and
weighting
estimators
Bodory, Hugo
;
Camponovo, Lorenzo
;
Huber, Martin
; …
-
2016
-based matching and
weighting
estimators frequently applied to evaluate the average treatment effect on the treated. We analyse both … ones in terms of size and power for both matching and
weighting
estimators. Furthermore, the results are qualitatively …
Persistent link: https://www.econbiz.de/10011452098
Saved in:
4
The finite sample performance of inference methods for propensity score matching and
weighting
estimators
Bodory, Hugo
;
Camponovo, Lorenzo
;
Huber, Martin
; …
-
2016
Persistent link: https://www.econbiz.de/10011717677
Saved in:
5
Endogeneity and Non-Response Bias in Treatment Evaluation: Nonparametric Identification of Causal Effects by Instruments
Fricke, Hans
;
Frölich, Markus
;
Huber, Martin
;
Lechner, …
-
2015
This paper proposes a nonparametric method for evaluating treatment effects in the presence of both treatment endogeneity and attrition/non-response bias, using two instrumental variables. Making use of a discrete instrument for the treatment and a continuous instrument for...
Persistent link: https://www.econbiz.de/10011401691
Saved in:
6
Endogeneity and non-response bias in treatment evaluation : nonparametric identification of causal effects by instruments
Fricke, Hans
;
Frölich, Markus
;
Huber, Martin
;
Lechner, …
-
2015
Persistent link: https://www.econbiz.de/10011409080
Saved in:
7
Endogeneity and non-response bias in treatment evaluation : nonparametric identification of causal effects by instruments
Fricke, Hans
;
Frölich, Markus
;
Huber, Martin
;
Lechner, …
-
2015
This paper proposes a nonparametric method for evaluating treatment effects in the presence of both treatment endogeneity and attrition/non-response bias, using two instrumental variables. Making use of a discrete instrument for the treatment and a continuous instrument for...
Persistent link: https://www.econbiz.de/10011348296
Saved in:
8
How to Control for Many Covariates? Reliable Estimators Based on the Propensity Score
Huber, Martin
;
Lechner, Michael
;
Wunsch, Conny
-
Institute for the Study of Labor (IZA)
-
2010
treated that are suitable when adjustment for observable covariates is required, like inverse probability
weighting
, kernel …
Persistent link: https://www.econbiz.de/10008684795
Saved in:
9
How to control for many covariates? Reliable estimators based on the propensity score
Huber, Martin
;
Lechner, Michael
;
Wunsch, Conny
-
2010
treated that are suitable when adjustment for observable covariates is required, like inverse probability
weighting
, kernel …
Persistent link: https://www.econbiz.de/10010274655
Saved in:
10
The performance of estimators based on the propensity score
Huber, Martin
;
Lechner, Michael
;
Wunsch, Conny
- In:
Journal of Econometrics
175
(
2013
)
1
,
pp. 1-21
treated that are suitable when adjustment for observed covariates is required, like inverse probability
weighting
, kernel and …
Persistent link: https://www.econbiz.de/10010664687
Saved in:
1
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