Daniel Goller : Citation Profile


Are you Daniel Goller?

Universität St. Gallen

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H index

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i10 index

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Citations

RESEARCH PRODUCTION:

4

Papers

RESEARCH ACTIVITY:

   1 years (2018 - 2019). See details.
   Cites by year: 3
   Journals where Daniel Goller has often published
   Relations with other researchers
   Recent citing documents: 3.    Total self citations: 2 (40 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pgo856
   Updated: 2020-07-04    RAS profile: 2020-01-07    
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Relations with other researchers


Works with:

Lechner, Michael (3)

Authors registered in RePEc who have co-authored more than one work in the last five years with Daniel Goller.

Is cited by:

Lechner, Michael (2)

Angrist, Joshua (1)

Cites to:

Lechner, Michael (18)

Wunsch, Conny (7)

Strittmatter, Anthony (6)

Krumer, Alex (5)

Athey, Susan (5)

Huber, Martin (5)

Knaus, Michael (4)

Imbens, Guido (4)

Chernozhukov, Victor (3)

Buraimo, Babatunde (3)

Weinbach, Andrew (2)

Main data


Where Daniel Goller has published?


Working Papers Series with more than one paper published# docs
Economics Working Paper Series / University of St. Gallen, School of Economics and Political Science3

Recent works citing Daniel Goller (2019 and 2018)


YearTitle of citing document
2020Random Forest Estimation of the Ordered Choice Model. (2019). Lechner, Michael ; Okasa, Gabriel. In: Papers. RePEc:arx:papers:1907.02436.

Full description at Econpapers || Download paper

2019Machine Labor. (2019). Angrist, Joshua ; Frandsen, Brigham. In: NBER Working Papers. RePEc:nbr:nberwo:26584.

Full description at Econpapers || Download paper

2019Random Forest Estimation of the Ordered Choice Model. (2019). Lechner, Michael ; Okasa, Gabriel. In: Economics Working Paper Series. RePEc:usg:econwp:2019:08.

Full description at Econpapers || Download paper

Works by Daniel Goller:


YearTitleTypeCited
2019Does the Estimation of the Propensity Score by Machine Learning Improve Matching Estimation? The Case of Germanys Programmes for Long Term Unemployed In: IZA Discussion Papers.
[Full Text][Citation analysis]
paper1
2019Does the estimation of the propensity score by machine learning improve matching estimation? The case of Germany’s programmes for long term unemployed.(2019) In: Economics Working Paper Series.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 1
paper
2018Predicting Match Outcomes in Football by an Ordered Forest Estimator In: Economics Working Paper Series.
[Full Text][Citation analysis]
paper2
2019Let’s meet as usual: Do games on non-frequent days differ? Evidence from top European soccer leagues In: Economics Working Paper Series.
[Full Text][Citation analysis]
paper0

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