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Daniel Goller
Name
Daniel Goller
Institute/School
SEW - Swiss Institute for Empirical Economic Research
Email address
daniel.goller@unisg.ch
Latest Additions (all)
Goller, Daniel
;
Knaus, Michael
;
Lechner, Michael
&
Okasa, Gabriel
:
Predicting Match Outcomes in Football by an Ordered Forest Estimator.
In A Modern Guide to Sports Economics. Edward Elgar Publishing, 2021, S. 335-355.
Goller, Daniel
:
Essays in Causal Machine Learning.
Thesis, 2021.
Goller, Daniel
;
Lechner, Michael
;
Moczall, Andreas
&
Wolff, Joachim
(2020)
Does the Estimation of the Propensity Score by Machine Learning Improve Matching Estimation? The Case of Germany's Programmes for Long Term Unemployed.
Labour Economics, 65(C) (101855). ISSN 0927-5371
Goller, Daniel
&
Krumer, Alexander
:
Let's meet as usual: Do games played on non-frequent days differ? Evidence from top European soccer leagues.
2019.
Most Viewed Items
Item title
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1
Let's meet as usual: Do games played on non-frequent days differ? Evidence from top European soccer leagues
642
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Does the Estimation of the Propensity Score by Machine Learning Improve Matching Estimation? The Case of Germany's Programmes for Long Term Unemployed
307
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Predicting Match Outcomes in Football by an Ordered Forest Estimator
276
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Essays in Causal Machine Learning
192
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