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accessRights:"restricted"
subject:"Monte Carlo simulation"
~person:"Lechner, Michael"
~subject:"Football"
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Lechner, Michael
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Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
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Predicting match outcomes in football by an Ordered Forest estimator
Goller, Daniel
;
Knaus, Michael C.
;
Lechner, Michael
; …
- In:
A modern guide to sports economics
,
(pp. 335-355)
.
2021
Persistent link: https://www.econbiz.de/10013168878
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2
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
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3
Practical procedures to deal with common support problems in matching estimation
Lechner, Michael
;
Strittmatter, Anthony
- In:
Econometric reviews
38
(
2019
)
2
,
pp. 193-207
Persistent link: https://www.econbiz.de/10012180727
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4
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
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