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Discouraged Workers in Developed Countries and Added Workers in Developing Countries? Unemployment Rate and Labour Force Participation

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  • Grace H.Y. Leea
  • Jaai Parasnis

Abstract

Changes in the unemployment rate can have differing impacts on the labour force participation rate depending on the strength of the added worker effect and the discouraged worker effect. This paper documents the differences in the relationship between the unemployment rate and the labour force participation rate across a panel of developing countries and OECD countries. We employ a system GMM approach to control for and to establish the bi-directional causality between unemployment and labour force participation. We find that the discouraged worker effect does dominate in developed countries, while dominance of the added worker effect in developing countries leads to an increase in labour force in the face of rising unemployment.

Suggested Citation

  • Grace H.Y. Leea & Jaai Parasnis, 2014. "Discouraged Workers in Developed Countries and Added Workers in Developing Countries? Unemployment Rate and Labour Force Participation," Monash Economics Working Papers 15-14, Monash University, Department of Economics.
    • Handle: RePEc:mos:moswps:2014-15
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    Cited by:

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    2. Provenzano Sandro, 2017. "The Empirics of Hidden Labor Force Dynamics in Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 237(5), pages 373-406, October.
    3. Shairilizwan Taasim, 2020. "The Effect of Gender Unemployment on Economic Growth: A Panel Data Analysis," GATR Journals jber194, Global Academy of Training and Research (GATR) Enterprise.
    4. Joaquín Serrano & Leonardo Gasparini & Mariana Marchionni & Pablo Glüzmann, 2019. "Economic cycle and deceleration of female labor force participation in Latin America," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 53(1), pages 1-21, December.
    5. Marija Buselic & Jurica Bosna, 2019. "Defining the Unemployment Determinants of the Post-Transition Central European EU Member Countries," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 17(1 (Spring), pages 79-103.
    6. Abdoulaye Millogo & Jean-François Rouillard, 2019. "Missing Disinflation and Human Capital Depreciation," Cahiers de recherche 19-03, Departement d'économique de l'École de gestion à l'Université de Sherbrooke, revised Oct 2020.
    7. Bod’a, Martin & Považanová, Mariana, 2021. "Output-unemployment asymmetry in Okun coefficients for OECD countries," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 307-323.
    8. Maridueña-Larrea, Ángel & Martín-Román, Ángel L., 2023. "The unemployment invariance hypothesis and the implications of added and discouraged worker effects in Latin America," MPRA Paper 115966, University Library of Munich, Germany.
    9. Mourougane, Annabelle, 2017. "Crisis, potential output and hysteresis," International Economics, Elsevier, vol. 149(C), pages 1-14.
    10. Leonardo Fabio Morales & Didier Hermida & Eleonora Dávalos, 2019. "Interactions between Formal and Informal Labor Dynamics: Revealing Job Flows from Household Surveys," Borradores de Economia 1090, Banco de la Republica de Colombia.
    11. Pan, Wei-Fong, 2018. "Does the stock market really cause unemployment? A cross-country analysis," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 34-43.
    12. Yang, Jun & Zhang, Tengfei & Sheng, Pengfei & Shackman, Joshua D., 2016. "Carbon dioxide emissions and interregional economic convergence in China," Economic Modelling, Elsevier, vol. 52(PB), pages 672-680.
    13. Lina Cardona‐Sosa & Luz Adriana Flórez & Leonardo Fabio Morales & Banco de la República, 2018. "How does the Household Labour Supply Respond to the Unemployment of the Household Head?," LABOUR, CEIS, vol. 32(4), pages 174-212, December.
    14. Martín-Román, Ángel L., 2022. "Beyond the added-worker and the discouraged-worker effects: the entitled-worker effect," Economic Modelling, Elsevier, vol. 110(C).
    15. Kanwal Zahra & Tasneem Zafar & Mahmood Khalid, 2016. "Marginality, Social Exclusion, Labour Force Participation and Urban Poverty: A Case Study of Lahore, Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 55(4), pages 521-540.
    16. Madeira, Carlos & Salazar, Leonardo, 2023. "The impact of monetary policy on a labor market with heterogeneous workers: The case of Chile," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(2).
    17. Emilio Congregado & Ewa Galecka-Burdziak & Antonio A. Golpe & Robert Pater, 2021. "Separating aggregate discouraged and added worker effects: the case of a former transition country," Oeconomia Copernicana, Institute of Economic Research, vol. 12(3), pages 729-760, September.
    18. Mahdi Moradi & Andrea Appolloni & Grzegorz Zimon & Hossein Tarighi & Maede Kamali, 2021. "Macroeconomic Factors and Stock Price Crash Risk: Do Managers Withhold Bad News in the Crisis-Ridden Iran Market?," Sustainability, MDPI, vol. 13(7), pages 1-16, March.
    19. Jajati Keshari Parida & Shiba Shankar Pattayat & Sher Verick, 2023. "Why is the size of discouraged labour force increasing in India?," Economic Change and Restructuring, Springer, vol. 56(5), pages 3601-3630, October.
    20. Congregado, Emilio & Gałecka-Burdziak, Ewa & Golpe, Antonio A. & Pater, Robert, 2021. "Unemployment invariance hypothesis and structural breaks in Poland," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).

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    More about this item

    Keywords

    unemployment; labour force; system GMM; Granger causality; developing countries; OECD;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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