Eliciting permanent and transitory undeclared work from matched administrative and survey data

Arbeitspapier

We study the undeclared work patterns of Hungarian employees in relatively stable jobs, using a panel dataset that matches individual-level self-reported Labour Force Survey (LFS) data with administrative data from the Pension Directorate for 2001-2006. We estimate the determinants of undeclared work using Heckman-type random-effects panel probit models, and develop a two-regime model to separate permanent and transitory undeclared work, where the latter follows a Markov chain. We find that about 6 per cent of workers went permanently unreported for six consecutive years, and a further 3-4 per cent were transitorily unreported in any given year. By simulating the permanent and transitory components of undeclared work, we examine the implications for health and pension eligibility.

Angaben zum Objekt

• ISBN: 978-615-5594-45-8
• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: Budapest Working Papers on the Labour Market ; No. BWP - 2016/5

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models ; Single Equation Models; Single Variables: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities ; Tax Evasion and Avoidance ; Informal Labor Markets
• Thema: undeclared work ; labour input method ; matched administrative-survey data ; random-effects panel probit model with endogenous selection ; Markov chain

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Elek, Péter ; Köllő, János
• Ereignis: Veröffentlichung
• (wer): Hungarian Academy of Sciences, Institute of Economics, Centre for Economic and Regional Studies
• (wo): Budapest
• (wann): 2016

Weitere Informationen

• Handle: http://hdl.handle.net/10419/173670
• Letzte Aktualisierung: 10.03.2025, 11:44 MEZ