IDEAS home Printed from https://ideas.repec.org/p/mac/wpaper/0604.html
   My bibliography  Save this paper

Micro Vs Macro Explanations of Post-War US Unemployment Movements

Author

Listed:
  • Chris Heaton

    (Department of Economics, Macquarie University)

  • Paul Oslington

    (University of New South Wales)

Abstract

We consider the contribution of sectoral shocks to post-war US unemployment movements in a dynamic factor framework. Whereas previously published estimates of the contribution of sectoral shocks to unemployment relate to a particular theory of unemployment, our approach is sufficiently general to encompass almost any theory. We estimate our model in the frequency domain and use data on unemployment rather than employment or output. Sectoral shocks are found to account for around half the movements in US unemployment. These shocks tend to be of higher frequency than the common shocks and concentrated in the service and manufacturing sectors. Shock frequencies, sectoral patterns and flows provide some clues to the identity of some of the shocks driving unemployment. In some periods, such as the rise in unemployment in the 1970s, common shocks were dominant, but sectoral shocks have been more important in recent years.

Suggested Citation

  • Chris Heaton & Paul Oslington, 2006. "Micro Vs Macro Explanations of Post-War US Unemployment Movements," Research Papers 0604, Macquarie University, Department of Economics.
  • Handle: RePEc:mac:wpaper:0604
    as

    Download full text from publisher

    File URL: http://www.econ.mq.edu.au/research/2006/HeatonMicroVsMacro.pdf
    File Function: First Version, 2006
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Robert E. Hall, 2006. "Job Loss, Job Finding and Unemployment in the US Economy over the Past Fifty Years," NBER Chapters, in: NBER Macroeconomics Annual 2005, Volume 20, pages 101-166, National Bureau of Economic Research, Inc.
    2. Kiminori Matsuyama, 1992. "A Simple Model of Sectoral Adjustment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 59(2), pages 375-387.
    3. Abraham, Katharine G & Katz, Lawrence F, 1986. "Cyclical Unemployment: Sectoral Shifts or Aggregate Disturbances?," Journal of Political Economy, University of Chicago Press, vol. 94(3), pages 507-522, June.
    4. Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 2004. "The generalized dynamic factor model consistency and rates," Journal of Econometrics, Elsevier, vol. 119(2), pages 231-255, April.
    5. Doz, Catherine & Giannone, Domenico & Reichlin, Lucrezia, 2011. "A two-step estimator for large approximate dynamic factor models based on Kalman filtering," Journal of Econometrics, Elsevier, vol. 164(1), pages 188-205, September.
    6. Layard, Richard & Nickell, Stephen & Jackman, Richard, 2005. "Unemployment: Macroeconomic Performance and the Labour Market," OUP Catalogue, Oxford University Press, number 9780199279173, Decembrie.
    7. Lars Ljungqvist & Thomas J. Sargent, 1998. "The European Unemployment Dilemma," Journal of Political Economy, University of Chicago Press, vol. 106(3), pages 514-550, June.
    8. Riordan, Michael H & Staiger, Robert W, 1993. "Sectoral Shocks and Structural Unemployment," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 34(3), pages 611-629, August.
    9. Mario Forni & Lucrezia Reichlin, 1998. "Let's Get Real: A Factor Analytical Approach to Disaggregated Business Cycle Dynamics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 453-473.
    10. Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
    11. Stock, James H. & Watson, Mark W., 1999. "Business cycle fluctuations in us macroeconomic time series," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 1, pages 3-64, Elsevier.
    12. Paul Oslington, 2005. "Unemployment and Trade Liberalisation," The World Economy, Wiley Blackwell, vol. 28(8), pages 1139-1155, August.
    13. Lilien, David M, 1982. "Sectoral Shifts and Cyclical Unemployment," Journal of Political Economy, University of Chicago Press, vol. 90(4), pages 777-793, August.
    14. Long, John B, Jr & Plosser, Charles I, 1987. "Sectoral vs. Aggregate Shocks in the Business Cycle," American Economic Review, American Economic Association, vol. 77(2), pages 333-336, May.
    15. Raul Crespo, 2008. "Total factor productivity: an unobserved components approach," Applied Economics, Taylor & Francis Journals, vol. 40(16), pages 2085-2097.
    16. Rogerson, Richard, 1987. "An Equilibrium Model of Sectoral Reallocation," Journal of Political Economy, University of Chicago Press, vol. 95(4), pages 824-834, August.
    17. Bai, Jushan & Ng, Serena, 2006. "Evaluating latent and observed factors in macroeconomics and finance," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 507-537.
    18. Thomas J. Sargent & Christopher A. Sims, 1977. "Business cycle modeling without pretending to have too much a priori economic theory," Working Papers 55, Federal Reserve Bank of Minneapolis.
    19. Robert E. Hall, 2003. "Modern Theory of Unemployment Fluctuations: Empirics and Policy Applications," American Economic Review, American Economic Association, vol. 93(2), pages 145-150, May.
    20. Norrbin, Stefan C. & Schlagenhauf, Don E., 1988. "An inquiry into the sources of macroeconomic fluctuations," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 43-70, July.
    21. Chris Heaton & Victor Solo, 2004. "Identification of causal factor models of stationary time series," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 618-627, December.
    22. Watson, Mark W. & Engle, Robert F., 1983. "Alternative algorithms for the estimation of dynamic factor, mimic and varying coefficient regression models," Journal of Econometrics, Elsevier, vol. 23(3), pages 385-400, December.
    23. Lucas, Robert Jr. & Prescott, Edward C., 1974. "Equilibrium search and unemployment," Journal of Economic Theory, Elsevier, vol. 7(2), pages 188-209, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Heaton, Chris & Solo, Victor, 2012. "Estimation of high-dimensional linear factor models with grouped variables," Journal of Multivariate Analysis, Elsevier, vol. 105(1), pages 348-367.

    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. Bachmann Ronald & Burda Michael C., 2010. "Sectoral Transformation, Turbulence and Labor Market Dynamics in Germany," German Economic Review, De Gruyter, vol. 11(1), pages 37-59, February.
    2. Fiorentini, Gabriele & Galesi, Alessandro & Sentana, Enrique, 2018. "A spectral EM algorithm for dynamic factor models," Journal of Econometrics, Elsevier, vol. 205(1), pages 249-279.
    3. repec:zbw:rwirep:0005 is not listed on IDEAS
    4. Ronald Bachmann & Michael C. Burda, 2007. "Sectoral Transformation, Turbulence, and Labor Market Dynamics in Germany," Ruhr Economic Papers 0005, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    5. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
    6. Giovanni Gallipoli & Gianluigi Pelloni, 2013. "Macroeconomic Effects of Job Reallocations: A Survey," Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, vol. 5(2), pages 127-176, December.
    7. Tóth, Peter, 2014. "Malý dynamický faktorový model na krátkodobé prognózovanie slovenského HDP [A Small Dynamic Factor Model for the Short-Term Forecasting of Slovak GDP]," MPRA Paper 63713, University Library of Munich, Germany.
    8. Poncela, Pilar & Ruiz, Esther & Miranda, Karen, 2021. "Factor extraction using Kalman filter and smoothing: This is not just another survey," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1399-1425.
    9. Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2006. "A Dynamic Factor Analysis of Business Cycle on Firm-Level Data," LEM Papers Series 2006/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    10. Pilar Poncela & Esther Ruiz, 2016. "Small- Versus Big-Data Factor Extraction in Dynamic Factor Models: An Empirical Assessment," Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 401-434, Emerald Group Publishing Limited.
    11. Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2014. "Dynamic factor models: A review of the literature," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2013(2), pages 73-107.
    12. Lalé, Etienne, 2017. "Worker reallocation across occupations: Confronting data with theory," Labour Economics, Elsevier, vol. 44(C), pages 51-68.
    13. repec:rim:rimwps:27-08 is not listed on IDEAS
    14. Phelan, Christopher & Trejos, Alberto, 2000. "The aggregate effects of sectoral reallocations," Journal of Monetary Economics, Elsevier, vol. 45(2), pages 249-268, April.
    15. Herrendorf, Berthold & Rogerson, Richard & Valentinyi, Ákos, 2014. "Growth and Structural Transformation," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 6, pages 855-941, Elsevier.
    16. Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2012. "A Quasi–Maximum Likelihood Approach for Large, Approximate Dynamic Factor Models," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1014-1024, November.
    17. Yashiv, Eran, 2007. "Labor search and matching in macroeconomics," European Economic Review, Elsevier, vol. 51(8), pages 1859-1895, November.
    18. Dickhaus, Thorsten & Sirotko-Sibirskaya, Natalia, 2019. "Simultaneous statistical inference in dynamic factor models: Chi-square approximation and model-based bootstrap," Computational Statistics & Data Analysis, Elsevier, vol. 129(C), pages 30-46.
    19. Ma, Tao & Zhou, Zhou & Antoniou, Constantinos, 2018. "Dynamic factor model for network traffic state forecast," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 281-317.
    20. Alhassan Abdullah Mohammed, 2011. "A Coincident Indicator of the Gulf Cooperation Council Business Cycle," Review of Middle East Economics and Finance, De Gruyter, vol. 6(3), pages 1-23, February.
    21. Nii Ayi Armah & Norman Swanson, 2010. "Seeing Inside the Black Box: Using Diffusion Index Methodology to Construct Factor Proxies in Large Scale Macroeconomic Time Series Environments," Econometric Reviews, Taylor & Francis Journals, vol. 29(5-6), pages 476-510.
    22. Shin, Kwanho, 1997. "Sectoral shocks and movement costs: Effects on employment and welfare," Journal of Economic Dynamics and Control, Elsevier, vol. 21(2-3), pages 449-471.

    More about this item

    Keywords

    Structural Unemployment; Sectoral vs. Aggregate Shocks; Dynamic Factor Analysis;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    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:mac:wpaper:0604. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Helen Boneham (email available below). General contact details of provider: https://edirc.repec.org/data/edmqqau.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.