IDEAS home Printed from https://ideas.repec.org/f/pko1152.html
   My authors  Follow this author

Daniel Kopp

Personal Details

First Name:Daniel
Middle Name:
Last Name:Kopp
Suffix:
RePEc Short-ID:pko1152
[This author has chosen not to make the email address public]
https://sites.google.com/view/koppdaniel/home/

Affiliation

(1%) Institute of Labor Economics (IZA)

Bonn, Germany
http://www.iza.org/
RePEc:edi:izaaade (more details at EDIRC)

(99%) KOF Swiss Economic Institute
Department of Management, Technology and Economics (D-MTEC)
Eidgenössische Technische Hochschule Zürich (ETHZ)

Zürich, Switzerland
http://www.kof.ethz.ch/
RePEc:edi:koethch (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Kopp, Daniel, 2024. "Do Recruiters Penalize Men Who Prefer Low Hours? Evidence from Online Labor Market Data," IZA Discussion Papers 16845, Institute of Labor Economics (IZA).
  2. Daniel Kopp, 2022. "Are recruiters reluctant to hire part-time working men? Evidence from online labor market data," KOF Working papers 22-508, KOF Swiss Economic Institute, ETH Zurich.
  3. Hangartner, Dominik & Kopp, Daniel & Siegenthaler, Michael, 2021. "Monitoring hiring discrimination through online recruitment platforms," LSE Research Online Documents on Economics 107549, London School of Economics and Political Science, LSE Library.
  4. Michael Siegenthaler & Daniel Kopp, 2019. "Short-Time Work and Unemployment in and after the Great Recession," KOF Working papers 19-462, KOF Swiss Economic Institute, ETH Zurich.

Articles

  1. Daniel Kopp & Michael Siegenthaler, 2021. "Short-Time Work and Unemployment in and after the Great Recession [Does Employment Protection Inhibit Labor Market Flexibility? Lessons from Germany, France, and Belgium]," Journal of the European Economic Association, European Economic Association, vol. 19(4), pages 2283-2321.
  2. Dominik Hangartner & Daniel Kopp & Michael Siegenthaler, 2021. "Monitoring hiring discrimination through online recruitment platforms," Nature, Nature, vol. 589(7843), pages 572-576, January.
  3. Mahsa Khoshnama & Daniel Kopp & Michael Siegenthaler, 2020. "Wie Löhne und Arbeitsbedingungen die Jobzufriedenheit beeinflussen und was dies für Lohnunterschiede nach Geschlecht bedeutet," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, vol. 14(3), pages 95-109, October.
  4. Daniel Kopp & Michael Siegenthaler, 2018. "Wirkt das Schweizer Kurzarbeitsprogramm?," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, vol. 12(1), pages 83-93, March.
  5. Daniel Kopp, 2017. "Verstärkt Teilzeitarbeit die Geschlechterungleichheit auf dem Arbeitsmarkt?," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, vol. 11(2), pages 45-56, June.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Hangartner, Dominik & Kopp, Daniel & Siegenthaler, Michael, 2021. "Monitoring hiring discrimination through online recruitment platforms," LSE Research Online Documents on Economics 107549, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Francesco Capozza & Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2021. "Studying Information Acquisition in the Field: A Practical Guide and Review," ECONtribute Discussion Papers Series 124, University of Bonn and University of Cologne, Germany.
    2. Ahrens, Achim & Hansen, Christian B. & Schaffer, Mark E & Wiemann, Thomas, 2023. "ddml: Double/Debiased Machine Learning in Stata," IZA Discussion Papers 15963, Institute of Labor Economics (IZA).
    3. Marius Brülhart & Gian-Paolo Klinke & Andrea Marcucci & Dominic Rohner & Mathias Thoenig, 2023. "Price and Prejudice: Housing Rents Reveal Racial Animus," CESifo Working Paper Series 10369, CESifo.
    4. Achim Ahrens & Christian B. Hansen & Mark E. Schaffer & Thomas Wiemann, 2024. "Model Averaging and Double Machine Learning," Papers 2401.01645, arXiv.org.
    5. Przepiorka, Wojtek, 2022. "Testing sociological theories with digital trace data from online markets," SocArXiv ed2xc, Center for Open Science.
    6. Houtian Tang & Yuanlai Wu & Jinxiu Chen & Liuxin Deng & Minjie Zeng, 2022. "How Does Change in Rural Residential Land Affect Cultivated Land Use Efficiency? An Empirical Study Based on 42 Cities in the Middle Reaches of the Yangtze River," Land, MDPI, vol. 11(12), pages 1-20, December.

  2. Michael Siegenthaler & Daniel Kopp, 2019. "Short-Time Work and Unemployment in and after the Great Recession," KOF Working papers 19-462, KOF Swiss Economic Institute, ETH Zurich.

    Cited by:

    1. Huneeus,Federico & Kaboski,Joseph P. & Larrain,Mauricio & Schmukler,Sergio L. & Vera,Mario, 2022. "The Distribution of Crisis Credit : Effects on Firm Indebtedness and Aggregate Risk," Policy Research Working Paper Series 9937, The World Bank.
    2. Marek Golinski & Dorota Baczkiewicz, 2021. "Analysis of Factors Influencing the Teamwork Competences of Managers Starting their Professional Career," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 5), pages 64-76.
    3. Pierre Cahuc & Francis Kramarz & Sandra Nevoux, 2021. "The Heterogeneous Impact of Short-Time Work: From Saved Jobs to Windfall Effects," Institut des Politiques Publiques hal-03881632, HAL.
    4. Harasztosi, Péter & Maurin, Laurent & Pál, Rozália & Revoltella, Debora & van der Wielen, Wouter, 2022. "Firm-level policy support during the crisis: So far, so good?," International Economics, Elsevier, vol. 171(C), pages 30-48.
    5. Werner Hölzl & Michael Böheim & Klaus S. Friesenbichler & Agnes Kügler & Thomas Leoni, 2021. "Staatliche Hilfsmaßnahmen für Unternehmen in der COVID-19-Krise. Eine begleitende Analyse operativer Aspekte und Unternehmenseinschätzungen," WIFO Studies, WIFO, number 66624, February.
    6. Giulia Giupponi & Camille Landais & Alice Lapeyre, 2022. "Should We Insure Workers or Jobs during Recessions?," Journal of Economic Perspectives, American Economic Association, vol. 36(2), pages 29-54, Spring.
    7. Peltonen, Juho, 2023. "On the efficiency of labor markets with short-time work policies," MPRA Paper 119165, University Library of Munich, Germany.
    8. Bermudez, Natalia & Dejemeppe, Muriel & Tarullo, Giulia, 2023. "Theory and Empirics of Short-Time Work: A Review," GLO Discussion Paper Series 1348, Global Labor Organization (GLO).
    9. Thomas Dengler & Britta Gehrke, 2022. "Short-Time Work and Precautionary Savings," CESifo Working Paper Series 9873, CESifo.
    10. Julien Albertini & Xavier Fairise & Arthur Poirier & Anthony Terriau, 2022. "Short-time work policies during the COVID-19 pandemic," Working Papers 2204, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    11. Ulrike Huemer & Marion Kogler & Helmut Mahringer, 2021. "Kurzarbeit als Kriseninstrument in der COVID-19-Pandemie. Kurzexpertise zum Vergleich der Modelle ausgewählter europäischer Länder," WIFO Studies, WIFO, number 67020, February.
    12. Bruno Ducoudre & Pierre Madec, 2020. "Évaluation au 6 mai 2020 de l'impact économique de la pandémie de COVID-19 et des mesures de confinement sur le marché du travail en France," Post-Print hal-03401434, HAL.
    13. Julian Teichgräber & Simon Žužek & Jannik Hensel, 2022. "Optimal short-time work: screening for jobs at risk," ECON - Working Papers 402, Department of Economics - University of Zurich.
    14. Meriküll, Jaanika & Paulus, Alari, 2023. "The impact of the Covid-19 job retention support on employment," Economics Letters, Elsevier, vol. 222(C).
    15. Biancardi, Daniele & Lucifora, Claudio & Origo, Federica, 2022. "Short-time work and unionization," Labour Economics, Elsevier, vol. 78(C).
    16. Garcia-Clemente, Javier & Congregado, Emilio, 2022. "Effects of Short-time Work Schemes on firm survival during the Covid-19 crisis: insights from new Spanish data," MPRA Paper 113885, University Library of Munich, Germany.
    17. Christoph Görtz & Danny McGowan & Mallory Yeromonahos, 2023. "Furlough and Household Financial Distress during the COVID‐19 Pandemic," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(6), pages 1157-1184, December.
    18. Doorley, Karina & Keane, Claire & Tuda, Dora, 2021. "COVID-19 and the Irish welfare system," Papers BP2022/2, Economic and Social Research Institute (ESRI).
    19. Marius Faber & Andrea Ghisletta & Kurt Schmidheiny, 2020. "A lockdown index to assess the economic impact of the coronavirus," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-23, December.
    20. Peltonen, Juho, 2023. "Short-time work in search and matching models: Evidence from Germany during the Covid-19 crisis," MPRA Paper 119238, University Library of Munich, Germany.
    21. Ulrike Huemer & Rainer Eppel & Marion Kogler & Helmut Mahringer & Lukas Schmoigl & David Pichler, 2021. "Effektivität von Instrumenten der aktiven Arbeitsmarktpolitik in unterschiedlichen Konjunkturphasen," WIFO Studies, WIFO, number 67250, February.
    22. Gathmann, Christina & Kagerl, Christian & Pohlan, Laura & Roth, Duncan, 2023. "The Pandemic Push: Digital Technologies and Workforce Adjustments," CEPR Discussion Papers 18097, C.E.P.R. Discussion Papers.
    23. Wilhelm, Stefan, 2023. "Efficiency of short-time work schemes and the role of monetary policy," Journal of Macroeconomics, Elsevier, vol. 78(C).
    24. Garcia-Clemente, Javier & Rubino, Nicola & Congregado, Emilio, 2022. "Evaluating the effects of short and medium-term temporary work reduction schemes: the case of Spain’s ERTEs during the COVID-19 outbreak," MPRA Paper 114504, University Library of Munich, Germany.

Articles

  1. Daniel Kopp & Michael Siegenthaler, 2021. "Short-Time Work and Unemployment in and after the Great Recession [Does Employment Protection Inhibit Labor Market Flexibility? Lessons from Germany, France, and Belgium]," Journal of the European Economic Association, European Economic Association, vol. 19(4), pages 2283-2321.
    See citations under working paper version above.
  2. Dominik Hangartner & Daniel Kopp & Michael Siegenthaler, 2021. "Monitoring hiring discrimination through online recruitment platforms," Nature, Nature, vol. 589(7843), pages 572-576, January.
    See citations under working paper version above.Sorry, no citations of articles recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-EUR: Microeconomic European Issues (1) 2023-11-20. Author is listed
  2. NEP-HRM: Human Capital and Human Resource Management (1) 2023-11-20. Author is listed
  3. NEP-LTV: Unemployment, Inequality and Poverty (1) 2019-11-18. Author is listed
  4. NEP-MAC: Macroeconomics (1) 2019-11-18. Author is listed

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Daniel Kopp should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.