IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp8819.html
   My bibliography  Save this paper

A Note on Unemployment Persistence and Quantile Parameter Heterogeneity

Author

Listed:
  • Andini, Corrado

    () (University of Madeira)

  • Andini, Monica

    () (Bank of Italy)

Abstract

The standard approach to the estimation of unemployment persistence assumes that quantile parameter heterogeneity does not matter. Using panel quantile autoregression techniques on state-level data for the United States (1980-2010), we suggest that it does.

Suggested Citation

  • Andini, Corrado & Andini, Monica, 2015. "A Note on Unemployment Persistence and Quantile Parameter Heterogeneity," IZA Discussion Papers 8819, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp8819
    as

    Download full text from publisher

    File URL: http://ftp.iza.org/dp8819.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Dromel, Nicolas L. & Kolakez, Elie & Lehmann, Etienne, 2010. "Credit constraints and the persistence of unemployment," Labour Economics, Elsevier, vol. 17(5), pages 823-834, October.
    2. Koenker, Roger & Xiao, Zhijie, 2006. "Quantile Autoregression," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 980-990, September.
    3. Mortensen, Dale & Pissarides, Christopher, 2011. "Job Creation and Job Destruction in the Theory of Unemployment," Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 1, pages 1-19.
    4. Cheng, Ka Ming & Durmaz, Nazif & Kim, Hyeongwoo & Stern, Michael L., 2012. "Hysteresis vs. natural rate of US unemployment," Economic Modelling, Elsevier, vol. 29(2), pages 428-434.
    5. Pedro Portugal & Olivier Blanchard, 2001. "What Hides Behind an Unemployment Rate: Comparing Portuguese and U.S. Labor Markets," American Economic Review, American Economic Association, vol. 91(1), pages 187-207, March.
    6. Barnichon, Regis, 2012. "Vacancy posting, job separation and unemployment fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 36(3), pages 315-330.
    7. Ortigueira, Salvador, 2006. "Skills, search and the persistence of high unemployment," Journal of Monetary Economics, Elsevier, vol. 53(8), pages 2165-2178, November.
    8. Jimeno, Juan F. & Bentolila, Samuel, 1998. "Regional unemployment persistence (Spain, 1976-1994)," Labour Economics, Elsevier, vol. 5(1), pages 25-51, March.
    9. Lin, Hsin-Yi & Chu, Hao-Pang, 2013. "Are fiscal deficits inflationary?," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 214-233.
    10. Harding, Matthew & Lamarche, Carlos, 2009. "A quantile regression approach for estimating panel data models using instrumental variables," Economics Letters, Elsevier, vol. 104(3), pages 133-135, September.
    11. Omar Arias & Walter Sosa-Escudero & Kevin F. Hallock, 2001. "Individual heterogeneity in the returns to schooling: instrumental variables quantile regression using twins data," Empirical Economics, Springer, vol. 26(1), pages 7-40.
    12. Hall, Robert E., 1979. "A theory of the natural unemployment rate and the duration of employment," Journal of Monetary Economics, Elsevier, vol. 5(2), pages 153-169, April.
    13. Ivan A. Canay, 2011. "A simple approach to quantile regression for panel data," Econometrics Journal, Royal Economic Society, vol. 14(3), pages 368-386, October.
    14. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    15. Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
    16. Olivier J. Blanchard & Lawrence H. Summers, 1986. "Hysteresis and the European Unemployment Problem," NBER Chapters, in: NBER Macroeconomics Annual 1986, Volume 1, pages 15-90, National Bureau of Economic Research, Inc.
    17. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, June.
    18. Peter S. Sephton, 2009. "Persistence in U.S. State Unemployment Rates," Southern Economic Journal, Southern Economic Association, vol. 76(2), pages 458-466, October.
    19. Barro, Robert J, 1988. "The Persistence of Unemployment," American Economic Review, American Economic Association, vol. 78(2), pages 32-37, May.
    20. Alogoskoufis, George & Manning, Alan, 1988. "Wage setting and unemployment persistence in Europe, Japan and the USA," European Economic Review, Elsevier, vol. 32(2-3), pages 698-706, March.
    21. Blanchard, Olivier Jean, 1991. "Wage Bargaining and Unemployment Persistence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 23(3), pages 277-292, August.
    22. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    23. Mortensen, Dale T, 1989. " The Persistence and Indeterminancy of Unemployment in Search Equilibrium," Scandinavian Journal of Economics, Wiley Blackwell, vol. 91(2), pages 347-370.
    24. Galvao Jr, A. F. & Montes-Rojas, G., 2009. "Instrumental variables quantile regression for panel data with measurement errors," Working Papers 09/06, Department of Economics, City University London.
    25. Lee, Sokbae, 2007. "Endogeneity in quantile regression models: A control function approach," Journal of Econometrics, Elsevier, vol. 141(2), pages 1131-1158, December.
    26. Rosen, Adam M., 2012. "Set identification via quantile restrictions in short panels," Journal of Econometrics, Elsevier, vol. 166(1), pages 127-137.
    27. Diego Romero-Ávila & Carlos Usabiaga, 2007. "Unit Root Tests, Persistence, and the Unemployment Rate of The U.S. States," Southern Economic Journal, Southern Economic Association, vol. 73(3), pages 698-716, January.
    28. Greenwald, Bruce C & Stiglitz, Joseph E, 1995. "Labor-Market Adjustments and the Persistence of Unemployment," American Economic Review, American Economic Association, vol. 85(2), pages 219-225, May.
    29. Andini, Monica & Andini, Corrado, 2014. "Finance, growth and quantile parameter heterogeneity," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 308-322.
    30. Chernozhukov, Victor & Hansen, Christian, 2008. "Instrumental variable quantile regression: A robust inference approach," Journal of Econometrics, Elsevier, vol. 142(1), pages 379-398, January.
    31. Lamarche, Carlos, 2010. "Robust penalized quantile regression estimation for panel data," Journal of Econometrics, Elsevier, vol. 157(2), pages 396-408, August.
    32. Chernozhukov, Victor & Hansen, Christian & Jansson, Michael, 2007. "Inference approaches for instrumental variable quantile regression," Economics Letters, Elsevier, vol. 95(2), pages 272-277, May.
    33. Lindbeck, Assar & Snower, Dennis J., 1987. "Union activity, unemployment persistence and wage-employment ratchets," European Economic Review, Elsevier, vol. 31(1-2), pages 157-167.
    34. Chernozhukov, Victor & Hansen, Christian, 2006. "Instrumental quantile regression inference for structural and treatment effect models," Journal of Econometrics, Elsevier, vol. 132(2), pages 491-525, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Denis Chetverikov & Bradley Larsen & Christopher Palmer, 2016. "IV Quantile Regression for Group‐Level Treatments, With an Application to the Distributional Effects of Trade," Econometrica, Econometric Society, vol. 84, pages 809-833, March.
    2. Maria Marino & Alessio Farcomeni, 2015. "Linear quantile regression models for longitudinal experiments: an overview," METRON, Springer;Sapienza Università di Roma, vol. 73(2), pages 229-247, August.
    3. Harding, Matthew & Lamarche, Carlos, 2014. "Estimating and testing a quantile regression model with interactive effects," Journal of Econometrics, Elsevier, vol. 178(P1), pages 101-113.
    4. Philip Kostov & Julie Le Gallo, 2018. "What role for human capital in the growth process: new evidence from endogenous latent factor panel quantile regressions," Scottish Journal of Political Economy, Scottish Economic Society, vol. 65(5), pages 501-527, November.
    5. Philip Kostov & Julie Le Gallo, 2015. "Convergence: A Story of Quantiles and Spillovers," Kyklos, Wiley Blackwell, vol. 68(4), pages 552-576, November.
    6. Chen, Liang & Gonzalo, Jesús & Dolado, Juan José, 2017. "Quantile Factor Models," UC3M Working papers. Economics 25299, Universidad Carlos III de Madrid. Departamento de Economía.
    7. Genya Kobayashi & Hideo Kozumi, 2012. "Bayesian analysis of quantile regression for censored dynamic panel data," Computational Statistics, Springer, vol. 27(2), pages 359-380, June.
    8. Machado, José A.F. & Santos Silva, J.M.C., 2019. "Quantiles via moments," Journal of Econometrics, Elsevier, vol. 213(1), pages 145-173.
    9. Galina Besstremyannaya, 2015. "Heterogeneous effect of residency matching and prospective payment on labor returns and hospital scale economies," Discussion Papers 15-001, Stanford Institute for Economic Policy Research.
    10. Galina Besstremyannaya, 2014. "The efficiency of labor matching and remuneration reforms: a panel data quantile regression approach with endogenous treatment variables," Working Papers w0206, Center for Economic and Financial Research (CEFIR).
    11. David Powell & Joachim Wagner, 2014. "The exporter productivity premium along the productivity distribution: evidence from quantile regression with nonadditive firm fixed effects," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 150(4), pages 763-785, November.
    12. Sherrilyn Billger & Carlos Lamarche, 2015. "A panel data quantile regression analysis of the immigrant earnings distribution in the United Kingdom and United States," Empirical Economics, Springer, vol. 49(2), pages 705-750, September.
    13. Galvao Jr., Antonio F., 2011. "Quantile regression for dynamic panel data with fixed effects," Journal of Econometrics, Elsevier, vol. 164(1), pages 142-157, September.
    14. David Powell, 2020. "Does Labor Supply Respond to Transitory Income? Evidence from the Economic Stimulus Payments of 2008," Journal of Labor Economics, University of Chicago Press, vol. 38(1), pages 1-38.
    15. Galina Besstremyannaya, 2014. "The adverse effects of value-based purchasing in health care: dynamic quantile regression with endogeneity," Discussion Papers 14-006, Stanford Institute for Economic Policy Research.
    16. Theodore Panagiotidis & Panagiotis Printzis, 2021. "Investment and Uncertainty: Are large firms different from small ones?," Discussion Paper Series 2021_06, Department of Economics, University of Macedonia, revised Feb 2021.
    17. Muller, Christophe, 2018. "Heterogeneity and nonconstant effect in two-stage quantile regression," Econometrics and Statistics, Elsevier, vol. 8(C), pages 3-12.
    18. Montresor, Sandro & Vezzani, Antonio, 2015. "The production function of top R&D investors: Accounting for size and sector heterogeneity with quantile estimations," Research Policy, Elsevier, vol. 44(2), pages 381-393.
    19. Manuel Arellano & Stéphane Bonhomme, 2016. "Nonlinear panel data estimation via quantile regressions," Econometrics Journal, Royal Economic Society, vol. 19(3), pages 61-94, October.
    20. José Manuel Pastor & Jose M. Pavía & Lorenzo Serrano & Emili Tortosa-Ausina, 2017. "Rich regions, poor regions and bank branch deregulation in Spain," Regional Studies, Taylor & Francis Journals, vol. 51(11), pages 1678-1694, November.

    More about this item

    Keywords

    unemployment; quantile regression; dynamic models;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp8819. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Holger Hinte). General contact details of provider: http://www.iza.org .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.