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Effect of employment tax incentives: the case of disability quota in Hungary

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  • Judit Krekó

Abstract

This paper evaluates the effect of the Hungarian disability quota - levy system on disabled employment and firm behavior, and also aims to shed light on factors influencing the effectiveness of employment tax incentives. According to the quota rule, firms above a certain size threshold have to employ at least five percent disabled employees or pay a levy in case of non-compliance. The special feature of the Hungarian quota system is the uniquely high levy, which is accompanied by poor labor market integration of the disabled. The estimation exploits two significant policy changes: the drastic raise of the levy in 2010 and the increase of the firm size threshold from 20 to 25 employees in 2012. The policy effect on disabled employment is estimated on firm level data with regression discontinuity design. The baseline RDD results are adjusted to account for the potential bias arising from non-random firm selection, as many firms adjust their size to avoid the quota. The estimated disabled employment effect is high in international comparison, however, almost three-quarter of the quota is not fulfilled. I find evidence that the ratio of disabled population influences the disabled employment effect of the quota. This suggests that low effective labor supply and high (perceived) non-wage costs of hiring disabled are factors behind low quota fulfillment.

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  • Judit Krekó, 2019. "Effect of employment tax incentives: the case of disability quota in Hungary," CEU Working Papers 2019_1, Department of Economics, Central European University.
    • Handle: RePEc:ceu:econwp:2019_1
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    1. Luis Garicano & Claire Lelarge & John Van Reenen, 2016. "Firm Size Distortions and the Productivity Distribution: Evidence from France," American Economic Review, American Economic Association, vol. 106(11), pages 3439-3479, November.
    2. Ágota Scharle & Balázs Váradi, 2013. "Identifying Barriers to Institutional Change in Disability Services. WWWforEurope Working Paper No. 41," WIFO Studies, WIFO, number 47016, April.
    3. Gerard, Francois & Rokkanen, Miikka & Rothe, Christoph, 2015. "Identification and Inference in Regression Discontinuity Designs with a Manipulated Running Variable," IZA Discussion Papers 9604, Institute of Labor Economics (IZA).
    4. Stijn Baert, 2016. "Wage subsidies and hiring chances for the disabled: some causal evidence," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(1), pages 71-86, January.
    5. David Card & Raj Chetty & Andrea Weber, 2007. "The Spike at Benefit Exhaustion: Leaving the Unemployment System or Starting a New Job?," American Economic Review, American Economic Association, vol. 97(2), pages 113-118, May.
    6. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust data-driven inference in the regression-discontinuity design," Stata Journal, StataCorp LP, vol. 14(4), pages 909-946, December.
    7. Lawrence F. Katz, 1996. "Wage Subsidies for the Disadvantaged," NBER Working Papers 5679, National Bureau of Economic Research, Inc.
    8. François Gerard & Miikka Rokkanen & Christoph Rothe, 2020. "Bounds on treatment effects in regression discontinuity designs with a manipulated running variable," Quantitative Economics, Econometric Society, vol. 11(3), pages 839-870, July.
    9. Nabanita Datta Gupta & Mona Larsen & Lars Thomsen, 2015. "Do wage subsidies for disabled workers reduce their non-employment? - evidence from the Danish Flexjob scheme," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-26, December.
    10. Silva, José I. & Vall-Castelló, Judit, 2017. "Partial disability and labor market adjustment: The case of Spain," Labour Economics, Elsevier, vol. 48(C), pages 23-34.
    11. Sebastian Calonico & Matias D. Cattaneo & Rocío Titiunik, 2015. "Optimal Data-Driven Regression Discontinuity Plots," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1753-1769, December.
    12. Zafar Nazarov & Dongug Kang & Sarah von Schrader, 2015. "Employment Quota System and Labour Market Outcomes of Individuals with Disabilities: Empirical Evidence from South Korea," Fiscal Studies, Institute for Fiscal Studies, vol. 36, pages 99-126, March.
    13. Gerard, François & Rothe, Christoph & Rokkanen, Miikka, 2016. "Bounds on Treatment Effects in Regression Discontinuity Designs under Manipulation of the Running Variable, with an Application," CEPR Discussion Papers 11668, C.E.P.R. Discussion Papers.
    14. Sarah Hamersma, 2008. "The effects of an employer subsidy on employment outcomes: A study of the work opportunity and welfare-to-work tax credits," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 27(3), pages 498-520.
    15. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2018. "Manipulation testing based on density discontinuity," Stata Journal, StataCorp LP, vol. 18(1), pages 234-261, March.
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