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The dynamics of labor force participation: Is all quiet on the Appalachian front?

Author

Listed:
  • Josh Beverly

    (Hamline University)

  • Shamar L. Stewart

    (Virginia Tech)

  • Clinton L. Neill

    (Cornell University)

Abstract

This study examines the divergence and synchronicity of labor force participation rate (LFPR) dynamics across the USA. Using a dynamic factor model with time-varying stochastic volatility, we decompose each state’s LFPR into a national, regional, and state-specific latent factor. We find significant time variation in our factors and heterogeneous labor market responses and relative sensitivities. Our results show that, save for West Virginia, there is no strong Appalachian regional component, and instead, the national and state-specific components explain much of the variation in state LFPRs. Our results suggest the need for more targeted and localized labor market policies during periods of divergence in LFPRs (i.e., recessions and shocks) and federal policies during national economic booms or periods of recovery.

Suggested Citation

  • Josh Beverly & Shamar L. Stewart & Clinton L. Neill, 2023. "The dynamics of labor force participation: Is all quiet on the Appalachian front?," Empirical Economics, Springer, vol. 65(6), pages 2867-2898, December.
  • Handle: RePEc:spr:empeco:v:65:y:2023:i:6:d:10.1007_s00181-023-02447-1
    DOI: 10.1007/s00181-023-02447-1
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    as
    1. Chib, Siddhartha & Greenberg, Edward, 1994. "Bayes inference in regression models with ARMA (p, q) errors," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 183-206.
    2. Juan J. Dolado & Gergő Motyovszki & Evi Pappa, 2021. "Monetary Policy and Inequality under Labor Market Frictions and Capital-Skill Complementarity," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(2), pages 292-332, April.
    3. Blau, David M, 1998. "Labor Force Dynamics of Older Married Couples," Journal of Labor Economics, University of Chicago Press, vol. 16(3), pages 595-629, July.
    4. Christopher J. Erceg & Andrew T. Levin, 2014. "Labor Force Participation and Monetary Policy in the Wake of the Great Recession," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(S2), pages 3-49, October.
    5. Jun Ma & Andrew Vivian & Mark E. Wohar, 2018. "Global factors and equity market valuations: Do country characteristics matter?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 23(4), pages 427-441, October.
    6. Christopher Bollinger & James P. Ziliak & Kenneth R. Troske, 2011. "Down from the Mountain: Skill Upgrading and Wages in Appalachia," Journal of Labor Economics, University of Chicago Press, vol. 29(4), pages 819-857.
    7. Heather M Stephens & John Deskins, 2018. "Economic Distress and Labor Market Participation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(5), pages 1336-1356.
    8. Epstein, Brendan, 2018. "Labor Force Participation Dynamics," MPRA Paper 88776, University Library of Munich, Germany.
    9. Sangjoon Kim & Neil Shephard & Siddhartha Chib, 1998. "Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 361-393.
    10. Mark D. Partridge & Michael R. Betz & Linda Lobao, 2013. "Natural Resource Curse and Poverty in Appalachian America," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(2), pages 449-456.
    11. Marco Del Negro & Christopher Otrok, 2008. "Dynamic factor models with time-varying parameters: measuring changes in international business cycles," Staff Reports 326, Federal Reserve Bank of New York.
    12. Jan Börner & Gerald Shively & Sven Wunder & Miriam Wyman, 2015. "How Do Rural Households Cope with Economic Shocks? Insights from Global Data using Hierarchical Analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 66(2), pages 392-414, June.
    13. Ivan Vidangos, 2009. "Fluctuations in individual labor income: a panel VAR analysis," Finance and Economics Discussion Series 2009-09, Board of Governors of the Federal Reserve System (U.S.).
    14. Knut Are Aastveit & Hilde C. Bjørnland & Leif Anders Thorsrud, 2015. "What Drives Oil Prices? Emerging Versus Developed Economies," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(7), pages 1013-1028, November.
    15. Stock, James H. & Watson, Mark, 2011. "Dynamic Factor Models," Scholarly Articles 28469541, Harvard University Department of Economics.
    16. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    17. Wullianallur Raghupathi & Viju Raghupathi, 2018. "An Empirical Study of Chronic Diseases in the United States: A Visual Analytics Approach to Public Health," IJERPH, MDPI, vol. 15(3), pages 1-24, March.
    18. Chinhui Juhn, 1992. "Decline of Male Labor Market Participation: The Role of Declining Market Opportunities," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(1), pages 79-121.
    19. Veracierto, Marcelo, 2008. "On the cyclical behavior of employment, unemployment and labor force participation," Journal of Monetary Economics, Elsevier, vol. 55(6), pages 1143-1157, September.
    20. West, Kenneth D. & Wong, Ka-Fu, 2014. "A factor model for co-movements of commodity prices," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 289-309.
    21. Neely, Christopher J. & Rapach, David E., 2011. "International comovements in inflation rates and country characteristics," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1471-1490.
    22. Bhatt, Vipul & Kishor, N Kundan & Ma, Jun, 2017. "The impact of EMU on bond yield convergence: Evidence from a time-varying dynamic factor model," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 206-222.
    23. Haroon Mumtaz & Francesco Zanetti, 2015. "Labor Market Dynamics: A Time-Varying Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(3), pages 319-338, June.
    24. David A. Grossman & Melvin R. Levin, 1961. "The Appalachian Region: A National Problem Area," Land Economics, University of Wisconsin Press, vol. 37(2), pages 133-141.
    25. Haroon Mumtaz & Paolo Surico, 2012. "Evolving International Inflation Dynamics: World And Country-Specific Factors," Journal of the European Economic Association, European Economic Association, vol. 10(4), pages 716-734, August.
    26. James H. Stock & Mark W. Watson, 1989. "New Indexes of Coincident and Leading Economic Indicators," NBER Chapters, in: NBER Macroeconomics Annual 1989, Volume 4, pages 351-409, National Bureau of Economic Research, Inc.
    27. Dan Black & Terra McKinnish & Seth Sanders, 2005. "The Economic Impact Of The Coal Boom And Bust," Economic Journal, Royal Economic Society, vol. 115(503), pages 449-476, April.
    28. John B. Shoven, 2007. "New Age Thinking: Alternative Ways of Measuring Age, Their Relationship to Labor Force Participation, Goverment Policies and GDP," NBER Working Papers 13476, National Bureau of Economic Research, Inc.
    29. Chinhui Juhn & Simon Potter, 2006. "Changes in Labor Force Participation in the United States," Journal of Economic Perspectives, American Economic Association, vol. 20(3), pages 27-46, Summer.
    30. Dan Black & Kermit Daniel & Seth Sanders, 2002. "The Impact of Economic Conditions on Participation in Disability Programs: Evidence from the Coal Boom and Bust," American Economic Review, American Economic Association, vol. 92(1), pages 27-50, March.
    31. Stephanie Aaronson & Tomaz Cajner & Bruce Fallick & Felix Galbis-Reig & Christopher Smith & William Wascher, 2014. "Labor Force Participation: Recent Developments and Future Prospects," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 45(2 (Fall)), pages 197-275.
    32. Allan M. Walburger & Kenneth A. Foster, 1998. "Determination of Focal Pricing Regions for U.S. Fed Cattle," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 84-95.
    33. Kenneth A. Foster & Arthur M. Havenner & Allan M. Walburger, 1995. "System Theoretic Time-Series Forecasts of Weekly Live Cattle Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(4), pages 1012-1023.
    34. Zens, Gregor & Böck, Maximilian & Zörner, Thomas O., 2020. "The heterogeneous impact of monetary policy on the US labor market," Journal of Economic Dynamics and Control, Elsevier, vol. 119(C).
    35. Fang Cai & Yang Lu, 2013. "Population Change and Resulting Slowdown in Potential GDP Growth in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 21(2), pages 1-14, March.
    36. 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.
    37. John B. Taylor, 2016. "Can We Restart the Recovery All Over Again?," American Economic Review, American Economic Association, vol. 106(5), pages 48-51, May.
    38. Tomaz Cajner & John Coglianese & Joshua Montes, 2021. "The Long-Lived Cyclicality of the Labor Force Participation Rate," Finance and Economics Discussion Series 2021-047, Board of Governors of the Federal Reserve System (U.S.).
    39. Todtling, Franz & Trippl, Michaela, 2005. "One size fits all?: Towards a differentiated regional innovation policy approach," Research Policy, Elsevier, vol. 34(8), pages 1203-1219, October.
    40. Julie L. Hotchkiss & Fernando Rios-Avila, 2013. "Identifying Factors behind the Decline in the U.S. Labor Force Participation Rate," Business and Economic Research, Macrothink Institute, vol. 3(1), pages 257-275, June.
    41. John Bryant & Veronica Jacobsen & Matthew Bell & Daniel Garrett, 2004. "Labour Force Participation and GDP in New Zealand," Treasury Working Paper Series 04/07, New Zealand Treasury.
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    More about this item

    Keywords

    Labor force participation; Dynamic factor model (DFM); Stochastic volatility; Appalachia; Bayesian analysis; Time series analysis;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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