IDEAS home Printed from https://ideas.repec.org/r/ucp/jlabec/doi10.1086-679682.html
   My bibliography  Save this item

What Do Fishermen Tell Us That Taxi Drivers Do Not? An Empirical Investigation of Labor Supply

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Roman Horvath & Ali Elminejad & Tomas Havranek, 2020. "Publication and Identification Biases in Measuring the Intertemporal Substitution of Labor Supply," Working Papers IES 2020/32, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2020.
  2. Isabel Z. Martínez & Emmanuel Saez & Michael Siegenthaler, 2021. "Intertemporal Labor Supply Substitution? Evidence from the Swiss Income Tax Holidays," American Economic Review, American Economic Association, vol. 111(2), pages 506-546, February.
  3. Islam, Asad & Tasneem, Sakiba & Wang, Liang Choon, 2023. "Fishermen’s competitiveness and labour market performance: Evidence from shrimpers in Bangladesh," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(03), April.
  4. Jason Sandvik & Richard Saouma & Nathan Seegert & Christopher Stanton, 2021. "Employee Responses to Compensation Changes: Evidence from a Sales Firm," Management Science, INFORMS, vol. 67(12), pages 7687-7707, December.
  5. Nguyen, Ha Trong & Duncan, Alan S, 2017. "Exchange rate fluctuations and immigrants' labour market outcomes: New evidence from Australian household panel data," Journal of International Economics, Elsevier, vol. 105(C), pages 174-186.
  6. Barbos, Andrei & Kaisen, Joshua, 2022. "An Example of Negative Wage Elasticity for YouTube Content Creators," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 382-400.
  7. Scott French & Tess Stafford, 2017. "Returns to Experience and the Elasticity of Labor Supply," Discussion Papers 2017-15, School of Economics, The University of New South Wales.
  8. Alexandre Mas & Amanda Pallais, 2019. "Labor Supply and the Value of Non-work Time: Experimental Estimates from the Field," American Economic Review: Insights, American Economic Association, vol. 1(1), pages 111-126, June.
  9. Martin, Vincent, 2017. "When to quit: Narrow bracketing and reference dependence in taxi drivers," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 166-187.
  10. Zubrickas, Robertas, 2023. "The relative income effect and labor supply," Journal of Economic Behavior & Organization, Elsevier, vol. 209(C), pages 176-184.
  11. Sun, Hao & Wang, Hai & Wan, Zhixi, 2019. "Model and analysis of labor supply for ride-sharing platforms in the presence of sample self-selection and endogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 125(C), pages 76-93.
  12. MacDonald, Daniel & Mellizo, Philip, 2017. "Reference dependent preferences and labor supply in historical perspective," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 69(C), pages 117-124.
  13. Harold E. Cuffe, 2018. "Rain and museum attendance: Are daily data fine enough?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(2), pages 213-241, May.
  14. Cadsby, C. Bram & Song, Fei & Zubanov, Nick, 2024. "Working more for more and working more for less: Labor supply in the gain and loss domains," Labour Economics, Elsevier, vol. 88(C).
  15. Wang, Hai & Yang, Hai, 2019. "Ridesourcing systems: A framework and review," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 122-155.
  16. Giné, Xavier & Martinez-Bravo, Monica & Vidal-Fernández, Marian, 2017. "Are labor supply decisions consistent with neoclassical preferences? Evidence from Indian boat owners," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 331-347.
  17. Xi Chen & Ralf van der Lans & Michael Trusov, 2021. "Efficient Estimation of Network Games of Incomplete Information: Application to Large Online Social Networks," Management Science, INFORMS, vol. 67(12), pages 7575-7598, December.
  18. Ali Elminejad & Tomas Havranek & Roman Horvath & Zuzana Irsova, 2023. "Intertemporal Substitution in Labor Supply: A Meta-Analysis," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 1095-1113, December.
  19. Leong, Kaiwen & Li, Huailu & Xu, Haibo, 2019. "Effect of Enforcement Shock on Pushers' Activities: Evidence from an Asian Drug-Selling Gang," IZA Discussion Papers 12083, Institute of Labor Economics (IZA).
  20. Stanton, Christopher T. & Sandvik, Jason & Saouma, Richard & Seegert, Nathan, 2018. "Analyzing the Aftermath of a Compensation Reduction," CEPR Discussion Papers 13242, C.E.P.R. Discussion Papers.
  21. Hammarlund, Cecilia, 2018. "A trip to reach the target? – The labor supply of Swedish Baltic cod fishermen," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 75(C), pages 1-11.
  22. Timothy J. Richards, 2020. "Income Targeting and Farm Labor Supply," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 419-438, March.
  23. Luxi Shen & Samuel D. Hirshman, 2023. "As Wages Increase, Do People Work More or Less? A Wage Frame Effect," Management Science, INFORMS, vol. 69(8), pages 4721-4732, August.
  24. Alessandro Saia, 2022. "Trouble Underground: Demand Shocks and the Labor Supply Behavior of New York City Taxi Drivers," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 8(1), pages 1-27, March.
  25. Garry F. Barrett & Daniel S. Hamermesh, 2019. "Labor Supply Elasticities: Overcoming Nonclassical Measurement Error Using More Accurate Hours Data," Journal of Human Resources, University of Wisconsin Press, vol. 54(1), pages 255-265.
  26. Tess M. Stafford, 2018. "Do workers work more when earnings are high?," IZA World of Labor, Institute of Labor Economics (IZA), pages 1-11, November.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.