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isPartOf:"Applying maximum entropy to econometric problems"
subject:"Monte Carlo simulation"
~isPartOf:"Journal of business & economic statistics : JBES ; a publication of the American Statistical Association"
~person:"Chen, Willa W."
~person:"Huber, Martin"
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Monte Carlo simulation
Estimation theory
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Monte-Carlo-Simulation
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Causality analysis
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Estimation
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Chen, Willa W.
Huber, Martin
Hansen, Christian Bailey
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Applying maximum entropy to econometric problems
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
Discussion paper series / IZA
2
Working papers SES
2
Discussion paper / Universität Sankt Gallen, School of Economics and Political Science, Department of Economics
1
Discussion paper / Universität St. Gallen, Volkswirtschaftliche Abteilung ; School of Economics and Political Science, Department of Economics
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Empirical economics : a journal of the Institute for Advanced Studies, Vienna, Austria
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ECONIS (ZBW)
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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 estimators for mediation analysis under sequential conditional independence
Huber, Martin
;
Lechner, Michael
;
Mellace, Giovanni
- In:
Journal of business & economic statistics : JBES ; a …
34
(
2016
)
1
,
pp. 139-160
Persistent link: https://www.econbiz.de/10011691243
Saved in:
3
Uniform inference in predictive regression models
Chen, Willa W.
;
Deo, Rohit S.
;
Yi, Yanping
- In:
Journal of business & economic statistics : JBES ; a …
31
(
2013
)
4
,
pp. 525-533
Persistent link: https://www.econbiz.de/10010337853
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