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New revelations about unemployment persistence in Spain: time-series and panel data approaches using regional data

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  • P. Garcia-del-Barrio
  • L. A. Gil-Alana

Abstract

This article aims to re-examine the persistence of unemployment in Spain. For this purpose, we use time-series and cross-section analysis. From a time-series viewpoint we disaggregate unemployment by regions, and use unit root tests, AR coefficients and fractional differencing parameters as indicators of persistence. For the cross-section approach, we first estimate mean regressions of regional unemployment rates. Then, using a panel of 114 periods and 50 provinces, we estimate pooled, fixed and random effects models. Finally, following some recent developments, we implement several panel data unit root tests. Previous studies had already shown the strong persistence of Spanish unemployment. Our disaggregated analysis extends the finding to reveal that the persistence is greater in the most industrialized regions. The results also suggest that a structural break took place in 1994, implying a decline in the unemployment persistence since then.

Suggested Citation

  • P. Garcia-del-Barrio & L. A. Gil-Alana, 2009. "New revelations about unemployment persistence in Spain: time-series and panel data approaches using regional data," Applied Economics, Taylor & Francis Journals, vol. 41(2), pages 219-236.
    • Handle: RePEc:taf:applec:v:41:y:2009:i:2:p:219-236
    DOI: 10.1080/00036840600994237
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    References listed on IDEAS

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    1. Gordon Wilkinson, 1997. "A Micro Approach to the Issue of Hysteresis in Unemployment: Evidence from the 1988­1990 Labour Market Activity Survey," Staff Working Papers 97-12, Bank of Canada.
    2. Nuno Crato & Philip Rothman, "undated". "Measuring Hysteresis in Unemployment Rates with Long Memory Models," Working Papers 9619, East Carolina University, Department of Economics.
    3. Maia Güell, 2001. "Fixed-Term Contracts and the Duration Distribution of Unemployment," CEP Discussion Papers dp0505, Centre for Economic Performance, LSE.
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    Cited by:

    1. Werner, Daniel, 2013. "New insights into the development of regional unemployment disparities," IAB-Discussion Paper 201311, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. Mark D. Partridge & Dan S. Rickman & M. Rose Olfert & Ying Tan, 2015. "When Spatial Equilibrium Fails: Is Place-Based Policy Second Best?," Regional Studies, Taylor & Francis Journals, vol. 49(8), pages 1303-1325, August.
    3. Tolga Omay & Muhammad Shahbaz & Chris Stewart, 2021. "Is there really hysteresis in the OECD unemployment rates? New evidence using a Fourier panel unit root test," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(4), pages 875-901, November.
    4. Omay, Tolga & Shahbaz, Muhammad & Stewart, Chris, 2021. "Is There Really Hysteresis in OECD Countries’ Unemployment Rates? New Evidence Using a Fourier Panel Unit Root Test," MPRA Paper 107691, University Library of Munich, Germany, revised 10 May 2021.
    5. Iman Cheratian & Saleh Goltabar & Luis A. Gil-Alaña, 2023. "The unemployment hysteresis by territory, gender, and age groups in Iran," SN Business & Economics, Springer, vol. 3(2), pages 1-18, February.
    6. Roberto Patuelli & Norbert Schanne & Daniel A. Griffith & Peter Nijkamp, 2012. "Persistence Of Regional Unemployment: Application Of A Spatial Filtering Approach To Local Labor Markets In Germany," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 300-323, May.

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