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Dynamics of worker flows and vacancies: evidence from the sign restriction approach

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Cited by:

  1. Serdar Birinci & Kurt Gerrard See, 2018. "How Should Unemployment Insurance vary over the Business Cycle?," 2018 Meeting Papers 69, Society for Economic Dynamics.
  2. Ronald Bachmann & Peggy Bechara & Anica Kramer & Sylvi Rzepka, 2015. "Labour market dynamics and worker heterogeneity during the Great Recession – Evidence from Europe," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-29, December.
  3. Hutter, Christian & Klinger, Sabine & Trenkler, Carsten & Weber, Enzo, 2019. "Which factors are behind Germany's labour market upswing?," IAB-Discussion Paper 201920, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  4. Saidul Islam, 2024. "Investment-specific technology shocks and business cycle: evidence from a sign restriction approach," Indian Economic Review, Springer, vol. 59(1), pages 249-283, June.
  5. Matthias S. Hertweck & Vivien Lewis & Stefania Villa, 2021. "Going the Extra Mile: Effort by Workers and Job‐Seekers," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(8), pages 2099-2127, December.
  6. Hairault, Jean-Olivier & Langot, Francois & Sopraseuth, Thepthida, 2019. "Unemployment fluctuations over the life cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 334-352.
  7. Christian Hutter & Francesco Carbonero & Sabine Klinger & Carsten Trenkler & Enzo Weber, 2022. "Which factors were behind Germany's labour market upswing? A data‐driven approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(5), pages 1052-1076, October.
  8. Hie Ahn & James Hamilton, 2016. "Heterogeneity and Unemployment Dynamics," Working Papers id:11130, eSocialSciences.
  9. Renée Fry & Adrian Pagan, 2011. "Sign Restrictions in Structural Vector Autoregressions: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 938-960, December.
  10. Michele Campolieti & Deborah Gefang & Gary Koop, 2011. "Time Variation in the Dynamics of Worker Flows: Evidence from the US and Canada," Working Papers 1138, University of Strathclyde Business School, Department of Economics.
  11. Fontaine, Idriss, 2021. "The Conditional Ins And Outs Of French Unemployment," Macroeconomic Dynamics, Cambridge University Press, vol. 25(7), pages 1810-1841, October.
  12. Sabine Klinger & Enzo Weber, 2016. "Decomposing Beveridge Curve Dynamics By Correlated Unobserved Components," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(6), pages 877-894, December.
  13. Stefan Schiman, 2021. "Labor Supply Shocks and the Beveridge Curve: Empirical Evidence from EU Enlargement," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 40, pages 108-127, April.
  14. Inoue, Atsushi & Kilian, Lutz, 2013. "Inference on impulse response functions in structural VAR models," Journal of Econometrics, Elsevier, vol. 177(1), pages 1-13.
  15. Rahn, Daniela & Weber, Enzo, 2019. "Patterns Of Unemployment Dynamics In Germany," Macroeconomic Dynamics, Cambridge University Press, vol. 23(1), pages 322-357, January.
  16. Fontaine, Idriss, 2019. "Dynamics of part-time employment to an aggregate shock: A sign-restriction approach," Economics Letters, Elsevier, vol. 183(C), pages 1-1.
  17. Andrew Keinsley & Sandeep Kumar Rangaraju, 2021. "The Nonlinear Unemployment-Inflation Relationship and the Factors That Define It," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 47(3), pages 354-377, June.
  18. Hairault, Jean-Olivier & Zhutova, Anastasia, 2018. "The cyclicality of labor-market flows: A multiple-shock approach," European Economic Review, Elsevier, vol. 103(C), pages 150-172.
  19. Shigeru Fujita & Garey Ramey, 2012. "Exogenous vs. endogenous separation," Working Papers 12-2, Federal Reserve Bank of Philadelphia.
  20. Shigeru Fujita & Makoto Nakajima, 2016. "Worker Flows and Job Flows: A Quantitative Investigation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 22, pages 1-20, October.
  21. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2022. "Uncertain identification," Quantitative Economics, Econometric Society, vol. 13(1), pages 95-123, January.
  22. Robert E. Hall & Marianna Kudlyak, 2022. "Why Has the US Economy Recovered So Consistently from Every Recession in the Past 70 Years?," NBER Macroeconomics Annual, University of Chicago Press, vol. 36(1), pages 1-55.
  23. Baumeister, Christiane & Hamilton, James D., 2021. "Reprint: Drawing conclusions from structural vector autoregressions identified on the basis of sign restrictions," Journal of International Money and Finance, Elsevier, vol. 114(C).
  24. Lutz Kilian, 2013. "Structural vector autoregressions," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 22, pages 515-554, Edward Elgar Publishing.
  25. Chassamboulli, Andri & Fontaine, Idriss & Gálvez-Iniesta, Ismael & Gomes, Pedro, 2024. "Immigration and labour market flows," Labour Economics, Elsevier, vol. 86(C).
  26. Hie Joo Ahn, 2016. "The Role of Observed and Unobserved Heterogeneity in the Duration of Unemployment Spells," Finance and Economics Discussion Series 2016-063r1, Board of Governors of the Federal Reserve System (U.S.), revised 25 Mar 2022.
  27. Harrison, Andre & Reed, Robert R., 2023. "Gross capital inflows, the U.S. economy, and the response of the Federal Reserve," Journal of International Money and Finance, Elsevier, vol. 139(C).
  28. Hairault, Jean-Olivier & Langot, Francois & Sopraseuth, Thepthida, 2019. "Unemployment fluctuations over the life cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 334-352.
  29. Baumeister, Christiane & Hamilton, James D., 2020. "Drawing conclusions from structural vector autoregressions identified on the basis of sign restrictions," Journal of International Money and Finance, Elsevier, vol. 109(C).
  30. Donayre, Luiggi & Panovska, Irina, 2018. "U.S. wage growth and nonlinearities: The roles of inflation and unemployment," Economic Modelling, Elsevier, vol. 68(C), pages 273-292.
  31. Regis Barnichon & Christopher J. Nekarda, 2012. "The Ins and Outs of Forecasting Unemployment: Using Labor Force Flows to Forecast the Labor Market," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(2 (Fall)), pages 83-131.
  32. Nordmeier, Daniela & Weber, Enzo, 2013. "Conditional Patterns of Unemployment Dynamics in Germany," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79958, Verein für Socialpolitik / German Economic Association.
  33. Campolieti, Michele & Gefang, Deborah & Koop, Gary, 2014. "A new look at variation in employment growth in Canada: The role of industry, provincial, national and external factors," Journal of Economic Dynamics and Control, Elsevier, vol. 41(C), pages 257-275.
  34. Michele Campolieti & Deborah Gefang & Gary Koop, 2013. "A new look at variation in employment growth in Canada," Working Papers 26145565, Lancaster University Management School, Economics Department.
  35. Régis Barnichon, 2009. "Demand-driven job separation: reconciling search models with the ins and outs of unemployment," Finance and Economics Discussion Series 2009-24, Board of Governors of the Federal Reserve System (U.S.).
  36. Francisco Lasso-Valderrama & Héctor M. Zárate-Solano, 2019. "Forecasting the Colombian Unemployment Rate Using Labour Force Flows," Borradores de Economia 1073, Banco de la Republica de Colombia.
  37. Gafarov, Bulat & Meier, Matthias & Montiel Olea, José Luis, 2018. "Delta-method inference for a class of set-identified SVARs," Journal of Econometrics, Elsevier, vol. 203(2), pages 316-327.
  38. Holmberg, Johan, 2021. "Earnings and Employment Dynamics: Capturing Cyclicality using Mixed Frequency Data," Umeå Economic Studies 991, Umeå University, Department of Economics.
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