Daniel Goller : Citation Profile

Are you Daniel Goller?

Universität Bern (80% share)
Universität St. Gallen (20% share)

2

H index

1

i10 index

25

Citations

RESEARCH PRODUCTION:

3

Articles

14

Papers

1

Chapters

RESEARCH ACTIVITY:

   3 years (2018 - 2021). See details.
   Cites by year: 8
   Journals where Daniel Goller has often published
   Relations with other researchers
   Recent citing documents: 19.    Total self citations: 7 (21.88 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pgo856
   Updated: 2022-05-21    RAS profile: 2021-11-15    
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Relations with other researchers

Works with:

Lechner, Michael (8)

Wolter, Stefan (5)

Krumer, Alex (2)

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

Is cited by:

Singleton, Carl (6)

Reade, J (6)

Schreyer, Dominik (5)

Scoppa, Vincenzo (3)

Haucap, Justus (2)

Lechner, Michael (2)

Bryson, Alex (2)

Bergantiños, Gustavo (2)

Moreno-Ternero, Juan (2)

Song, Song (1)

Angrist, Joshua (1)

Cites to:

Lechner, Michael (36)

Imbens, Guido (11)

Wunsch, Conny (11)

Huber, Martin (8)

Strittmatter, Anthony (8)

Knaus, Michael (8)

Athey, Susan (7)

Weber, Michael (7)

Gorodnichenko, Yuriy (7)

Coibion, Olivier (7)

Krumer, Alex (7)

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 Science5
IZA Discussion Papers / Institute of Labor Economics (IZA)3
Economics of Education Working Paper Series / University of Zurich, Department of Business Administration (IBW)2
Papers / arXiv.org2

Recent works citing Daniel Goller (2022 and 2021)

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

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2022Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance. (2022). Okasa, Gabriel. In: Papers. RePEc:arx:papers:2201.12692.

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2020Does Crowd Support Drive the Home Advantage in Professional Soccer? Evidence from German Ghost Games during the COVID-19 Pandemic. (2020). Haucap, Justus ; Fischer, Kai. In: CESifo Working Paper Series. RePEc:ces:ceswps:_8549.

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2020SOCIAL PRESSURE IN THE STADIUMS: DO AGENTS CHANGE BEHAVIOR WITHOUT CROWD SUPPORT?. (2020). Scoppa, Vincenzo. In: Working Papers. RePEc:clb:wpaper:202006.

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2021Causal effects of an absent crowd on performances and refereeing decisions during Covid-19. (2021). Singleton, Carl ; Schreyer, Dominik ; Reade, J ; Bryson, Alex ; Dolton, Peter. In: Economics Letters. RePEc:eee:ecolet:v:198:y:2021:i:c:s0165176520304249.

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2022Monotonicity in sharing the revenues from broadcasting sports leagues. (2022). Moreno-Ternero, Juan ; Bergantiños, Gustavo ; Bergantios, Gustavo. In: European Journal of Operational Research. RePEc:eee:ejores:v:297:y:2022:i:1:p:338-346.

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2021Social pressure in the stadiums: Do agents change behavior without crowd support?. (2021). Scoppa, Vincenzo. In: Journal of Economic Psychology. RePEc:eee:joepsy:v:82:y:2021:i:c:s0167487020301021.

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2020Social Pressure in the Stadiums: Do Agents Change Behavior without Crowd Support?. (2020). Scoppa, Vincenzo. In: IZA Discussion Papers. RePEc:iza:izadps:dp13595.

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2021Seasonal Home Advantage in English Professional Football; 1974–2018. (2021). Ours, Jan C ; Peeters, Thomas. In: De Economist. RePEc:kap:decono:v:169:y:2021:i:1:d:10.1007_s10645-020-09372-z.

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2021Forced to Play Too Many Matches? A DeepLearning Assessment of Crowded Schedule. (2021). Tena, J D ; Delogu, Marco ; Cabras, Stefano. In: Working Papers. RePEc:liv:livedp:202110.

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2021Monotonicity in sharing the revenues from broadcasting sports leagues. (2021). Moreno-Ternero, Juan ; Bergantios, Gustavo. In: MPRA Paper. RePEc:pra:mprapa:105643.

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2020Demand for Public Events in the COVID-19 Pandemic: A Case Study of European Football. (2020). Singleton, Carl ; Reade, J. In: Economics Discussion Papers. RePEc:rdg:emxxdp:em-dp2020-09.

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2020Echoes: what happens when football is played behind closed doors?. (2020). Singleton, Carl ; Schreyer, Dominik ; Reade, J. In: Economics Discussion Papers. RePEc:rdg:emxxdp:em-dp2020-14.

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2020Eliminating supportive crowds reduces referee bias. (2020). Singleton, Carl ; Schreyer, Dominik ; Reade, J. In: Economics Discussion Papers. RePEc:rdg:emxxdp:em-dp2020-25.

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2021A decade of violence and empty stadiums in Egypt: When does emotion from the terraces affect behaviour on the pitch?. (2021). Singleton, Carl ; Schreyer, Dominik ; Reade, J. In: Economics Discussion Papers. RePEc:rdg:emxxdp:em-dp2021-21.

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2021Competitive Balance and the Away Goals Rule During Extra Time. (2021). Peter-J. Jost, . In: Journal of Sports Economics. RePEc:sae:jospec:v:22:y:2021:i:7:p:823-863.

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2021Does Crowd Support Drive the Home Advantage in Professional Football? Evidence from German Ghost Games during the COVID-19 Pandemic. (2021). Haucap, Justus ; Fischer, Kai. In: Journal of Sports Economics. RePEc:sae:jospec:v:22:y:2021:i:8:p:982-1008.

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2021.

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2020Langfristige Wirkungen eines nicht abgeschlossenen Studiums auf individuelle Arbeitsmarktergebnisse und die allgemeine Lebenszufriedenheit. (2020). Heigle, Julia ; Pfeiffer, Friedhelm. In: ZEW Discussion Papers. RePEc:zbw:zewdip:20004.

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Works by Daniel Goller:

YearTitleTypeCited
2020Analysing a built-in advantage in asymmetric darts contests using causal machine learning In: Papers.
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2020Analysing a built-in advantage in asymmetric darts contests using causal machine learning.(2020) In: Economics Working Paper Series.
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This paper has another version. Agregated cites: 0		paper
2021Active labour market policies for the long-term unemployed: New evidence from causal machine learning In: Papers.
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2021Active Labour Market Policies for the Long-Term Unemployed: New Evidence from Causal Machine Learning.(2021) In: IZA Discussion Papers.
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This paper has another version. Agregated cites: 1		paper
2021Active labour market policies for the long-term unemployed: New evidence from causal machine learning.(2021) In: Economics Working Paper Series.
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This paper has another version. Agregated cites: 1		paper
2021Too Shocked to Search The Covid-19 Shutdowns Impact on the Search for Apprenticeships In: CESifo Working Paper Series.
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2021Too shocked to search The COVID-19 shutdowns impact on the search for apprenticeships.(2021) In: Economics of Education Working Paper Series.
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This paper has another version. Agregated cites: 0		paper
2021Too Shocked to Search: The COVID-19 Shutdowns Impact on the Search for Apprenticeships.(2021) In: IZA Discussion Papers.
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This paper has another version. Agregated cites: 0		paper
2021“Too shocked to search” The COVID-19 shutdowns’ impact on the search for apprenticeships.(2021) In: Swiss Journal of Economics and Statistics.
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This paper has another version. Agregated cites: 0		article
2020Lets meet as usual: Do games played on non-frequent days differ? Evidence from top European soccer leagues In: European Journal of Operational Research.
[Full Text][Citation analysis]		article14
2020Does the estimation of the propensity score by machine learning improve matching estimation? The case of Germanys programmes for long term unemployed In: Labour Economics.
[Full Text][Citation analysis]		article6
2020Does the estimation of the propensity score by machine learning improve matching estimation? : The case of Germanys programmes for long term unemployed.(2020) In: IAB-Discussion Paper.
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This paper has another version. Agregated cites: 6		paper
2019Does the Estimation of the Propensity Score by Machine Learning Improve Matching Estimation? The Case of Germanys Programmes for Long Term Unemployed.(2019) In: IZA Discussion Papers.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 6		paper
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: 6		paper
2021Predicting match outcomes in football by an Ordered Forest estimator In: Chapters.
[Full Text][Citation analysis]		chapter2
2018Predicting Match Outcomes in Football by an Ordered Forest Estimator.(2018) In: Economics Working Paper Series.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 2		paper
2022Sitting next to a dropout: Study success of students with peers that came to the lecture hall by a different route In: Economics of Education Working Paper Series.
[Full Text][Citation analysis]		paper0
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]		paper2

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