What Do Big Data Tell Us about Why People Take Gig Economy Jobs?
Author
Abstract
Suggested Citation
Note: DOI: 10.1257/pandp.20191041
Download full text from publisher
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Sung‐Hee Jeon & Huju Liu & Yuri Ostrovsky, 2021. "Measuring the gig economy in Canada using administrative data," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 54(4), pages 1638-1666, November.
- Jonathan Cribb & Xiaowei Xu, 2020. "Going solo: how starting solo self-employment affects incomes and well-being," IFS Working Papers W20/23, Institute for Fiscal Studies.
- Oliver Alexander & Jeff Borland & Andrew Charlton & Amit Singh, 2021. "Uber down under: The labour market for drivers in Australia," Melbourne Institute Working Paper Series wp2021n18, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
- Adermon, Adrian & Hensvik, Lena, 2022.
"Gig-jobs: Stepping stones or dead ends?,"
Labour Economics, Elsevier, vol. 76(C).
- Hensvik, Lena & Adermon, Adrian, 2020. "Gig-jobs: stepping stones or dead ends?," CEPR Discussion Papers 15420, C.E.P.R. Discussion Papers.
- Adermon, Adrian & Hensvik, Lena, 2020. "Gig-jobs: stepping stones or dead ends?," Working Paper Series 2020:23, IFAU - Institute for Evaluation of Labour Market and Education Policy.
- Alexandre Mas & Amanda Pallais, 2020.
"Alternative Work Arrangements,"
Annual Review of Economics, Annual Reviews, vol. 12(1), pages 631-658, August.
- Alexandre Mas & Amanda Pallais, 2019. "Alternative Work Arrangements," Working Papers 634, Princeton University, Department of Economics, Industrial Relations Section..
- Alexandre Mas & Amanda Pallais, 2020. "Alternative Work Arrangements," NBER Working Papers 26605, National Bureau of Economic Research, Inc.
- Jeff Borland & Michael Coelli, 2023. "The Australian labour market and IT-enabled technological change," Melbourne Institute Working Paper Series wp2023n01, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
- Maciej Berk{e}sewicz & Dagmara Nikulin & Marcin Szymkowiak & Kamil Wilak, 2021. "The gig economy in Poland: evidence based on mobile big data," Papers 2106.12827, arXiv.org.
- KURODA Sachiko & ONISHI Koichiro, 2023. "Exploring the Gig Economy in Japan: A bank data-driven analysis of food delivery gig workers," Discussion papers 23025, Research Institute of Economy, Trade and Industry (RIETI).
- Stefania Cosci & Valentina Meliciani & Marco Pini, 2021. "Historical roots of innovative entrepreneurial culture: the impact of firms using motive power in 1927 on Italian provincial start-up rate," CERBE Working Papers wpC38, CERBE Center for Relationship Banking and Economics.
- Oliver Alexander & Jeff Borland & Andrew Charlton & Amit Singh, 2022. "The Labour Market for Uber Drivers in Australia," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 55(2), pages 177-194, June.
- Kazakova, E. & Sandomirskaia, M. & Suvorov, A. & Khazhgerieva, A. & Shavshin, R., 2023. "Platforms, online labor markets, and crowdsourcing. Part 2. Crowdsourcing," Journal of the New Economic Association, New Economic Association, vol. 61(4), pages 128-144.
- Joshua D. Gottlieb & Avi Zenilman, 2020. "When Workers Travel: Nursing Supply During COVID-19 Surges," NBER Working Papers 28240, National Bureau of Economic Research, Inc.
- Dmitri Koustas, 2020. "Insights from New Tax-Based Measures of Gig Work in the United States," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 21(03), pages 5-9, September.
- Maria Cesira Urzi Brancati & Annarosa Pesole & Enrique Férnandéz-Macías, 2020. "New evidence on platform workers in Europe: Results from the second COLLEEM survey," JRC Research Reports JRC118570, Joint Research Centre.
More about this item
JEL classification:
- C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
- D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
- J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
- J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aea:apandp:v:109:y:2019:p:367-71. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.