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Strategic wage bargaining, labor market volatility, and persistence

  • Matthias Sebastian Hertweck EMAIL logo
Veröffentlicht/Copyright: 12. Oktober 2013

Abstract

The textbook search and matching model suffers from too little amplification and weak internal propagation. We argue that the double failure is due to two negative feedback channels. Intuitively, a decline (rise) in unemployment (vacancies) rises both the wage rate, the “wage channel,” and the effective cost to fill a vacancy, the “hiring cost channel.” Therefore, we introduce hiring costs and strategic wage bargaining. The interaction between these two modifications limits the impact of both channels effectively and persistently. Thus, the modified model is able to closely match the (inversely) u-shaped impulse responses of vacancies and unemployment.


Corresponding author: Matthias Sebastian Hertweck, University of Konstanz, Department of Economics, Box 145, 78457 Konstanz, Germany, e-mail:

This paper is based on Chapter 1 of my doctoral dissertation written at the European University Institute. I am indebted to Morten Ravn and Salvador Ortigueira for their help and supervision. I would like to thank Árpád Ábrahám, Federico Di Pace, Christopher L. Foote, Maren Frömel, Ghalib Minhas, Leo Kaas, Georgi Kocharkov and two anonymous referees for their helpful comments and suggestions. I am also very grateful to Renato Faccini, Marcus Hagedorn, Jean-Olivier Hairault, Antonella Trigari, Christoph Winter, as well as conference participants at VfS 2006 (Bayreuth), EBIM 2006 (Bielefeld), RES 2007 (Warwick), SOLE 2007 (Chicago), and seminar audiences at the University of Osnabrück, the Kiel Institute for the World Economy, the University of Basel, the Paris School of Economics, the European Central Bank, the University of Oxford, and the Bank of England for providing feedback on an earlier version of this paper. All remaining errors are mine.

  1. 1

    The debate was sparked by the influential paper of Shimer (2005). For an overview on the debate, see the handbook chapter by Rogerson and Shimer (2011), as well as the references therein.

  2. 2

    Two of the exceptions are Fujita and Ramey (2009), who introduce a sunk cost for vacancy creation, which implies that vacancies become a predetermined state variable; and Coles and Moghaddasi Kelishomi (2011), who introduce a time-to-build constraint for vacancies.

  3. 3

    In an independent line of research, Christiano, Eichenbaum, and Trabandt (2013) estimate a New Keynesian DSGE model with strategic wage bargaining and hiring costs subject to permanent neutral technology shocks (among other shocks). They find that, in their model, the impact of the two modifications on the responses of vacancies and unemployment is quantitative, not qualitative and quantitative (as in our model).

  4. 4

    In the US, most of the cyclical volatility in unemployment is due to job creation rather than job separation. The estimates range from 60% (Fujita and Ramey 2009) to 80% (Shimer 2012). Thus, for simplicity, we assume that all separations are exogenous.

  5. 5

    King and Thomas (2006) show how the evidence of partial adjustment at the aggregate level can be reconciled with the fact that hiring behavior at the firm level is rather discrete and occasional.

  6. 6

    Note that, compared to the original large-firm version (Gertler and Trigari 2009), the expression is absent, which represents the negative impact of current hiring activities on future hiring costs. Quantitatively, however, the expression is small and, therefore, not important for the dynamics of the model. Further robustness checks following Krause and Lubik (2007) indicate that, under the maintained constant returns to scale assumption, the same conclusion holds true if we allow for intra-firm bargaining (Cahuc, Marque, and Wasmer 2008).

  7. 7

    In order to keep the model as simple as possible, our approach differs from Hall and Milgrom (2008) in that they assume that each firm-worker pair perceives a low risk of bargaining breakdown.

  8. 8

    This bargaining protocol constitutes probably the most common form of wage stickiness in the literature. See, for instance, Thomas (2008) or Christoffel et al. (2009). Following Christoffel and Kuester (2008), we introduce staggered wage contracts into a one-firm-one-worker matching model (as in Di Pace and Hertweck 2012). Note that, in comparison to the original large-firm version (Gertler and Trigari 2009), the “horizon effect” is absent in our model.

  9. 9

    We do not attempt to match the impulse response of the average real wage rate with its model generated counterpart. Due to composition effects, the average real wage rate is substantially less cyclical than individual wages (see, e.g., Solon, Barsky, and Parker 1994 or Lemieux 2006).

  10. 10

    Output per person is taken from the BLS (Series ID: PRS84006163), the civilian unemployment rate is taken from FRED (Series ID: UNRATE). The vacancy rate is defined as the ratio between the composite Help Wanted Index (Barnichon 2010) and the civilian labor force (FRED Series ID: CLF16OV). Prior to 1995Q1, the composite Help-Wanted index is identical to the original Help-Wanted Advertising Index. As of 1995Q1, the index is adjusted for the increasing importance of online advertising.

  11. 11

    The description of the structural VAR follows Ravn and Simonelli (2007).

  12. 12

    The shape of the impulse responses is robust across various specifications. In particular, we obtain very similar results when we estimate the VAR without a linear trend and output per worker in first differences. Table (2) additionally shows the estimated parameters of our model when the VAR order is set to M=3.

  13. 13

    The model generated impulse responses are computed using the Toolkit by Uhlig (1999) and the Makesysmat add-on by Martin Schneider. The add-on to match empirical impulse responses with their model generated counterparts was kindly shared by Georg Duernecker, which is gratefully acknowledged.

  14. 14

    See Section (A.2) in the Appendix for the log-linearized version of the model.

  15. 15

    To be precise, the black dashed line represents the response of the Nash wage under staggered Nash bargaining; i.e., the wage paid to workers in matches that are able to renegotiate. The black solid line represents the hypothetical response under strategic wage bargaining; i.e., the wage implied by Equation (12), given the same aggregate fluctuations as under staggered Nash bargaining.

  16. 16

    See Shimer (2004), who discusses the argument developed by Boldrin and Horvath (1995) in the context of a search and matching model.

  17. 17

    Instead, previous literature has focused on the cyclicality of wages of job changers; i.e., workers coming from both non-employment and employment (see the survey provided by Pissarides 2009). Haefke et al. (2012), however, argue that for a standard model without on-the-job search the elasticity of wages of new hires from non-employment is the relevant empirical target.

  18. 18

    Kudlyak (2013) develops a very similar theoretical argument as Haefke et al. (2012). However, using panel data from the NLSY, she estimates that the productivity elasticity of the expected present value of wage payments at the start of the match is even larger than one. Based on this estimate, she concludes that the unemployment volatility puzzle cannot be solved by wage formation.

  19. 19

    See Section (A.3) in the Appendix for the log-linearized version of the model.

  20. 20

    The proportionality assumption between effective hiring costs and labor market tightness has also been questioned by Pissarides (2009). Instead, he suggests to introduce a fixed matching cost in addition to the vacancy posting cost.

  21. 21

    Note that this effect is reinforced by the fact that the lower elasticity of the effective hiring cost dampens the elasticity of the wage rate, too (see Section 2.4.4).

Appendix A

In the following, denotes the steady state value of variable at, and denotes the percentage deviation from its steady state.

A.1 Log-linearized benchmark model

A.2 Log-linearized model with staggered Nash bargaining

We replace Equations (23) and (25) by the following set of equations:

A.3 Log-linearized model with linear vacancy posting costs

We replace Equations (23), (25), and (26) by the following set of equations:

References

Barnichon, R. 2010. “Building a Composite Help-wanted Index.” Economics Letters 109: 175–178.10.1016/j.econlet.2010.08.029Suche in Google Scholar

Barro, R. 1977. “Long-term Contracting, Sticky Prices, and Monetary Policy.” Journal of Monetary Economics 3: 305–316.10.1016/0304-3932(77)90024-1Suche in Google Scholar

Binmore, K., A. Rubinstein, and A. Wolinsky. 1986. “The Nash Bargaining Solution in Economic Modeling.” The RAND Journal of Economics 17: 176–188.10.2307/2555382Suche in Google Scholar

Blanchard, O. J., and P. Diamond. 1989. “The Beveridge Curve.” Brookings Papers on Economic Activity 1: 1–76.10.2307/2534495Suche in Google Scholar

Boldrin, M., and M. Horvath. 1995. “Labor Contracts and Business Cycles.” Journal of Political Economy 103: 972–1004.10.1086/262010Suche in Google Scholar

Braun, H., R. De Bock, and R. DiCecio. 2009. “Supply Shocks, Demand Shocks, and Labor Market Fluctuations.” Review 91: 155–178.10.20955/r.91.155-178Suche in Google Scholar

Cahuc, P., F. Marque, and E. Wasmer. 2008. “A Theory of Wages and Labor Demand with Intra-firm Bargaining and Matching Frictions.” International Economic Review 49: 943–972.10.1111/j.1468-2354.2008.00502.xSuche in Google Scholar

Calvo, G. A. 1983. “Staggered Prices in a Utility-maximizing Framework.” Journal of Monetary Economics 12: 383–398.10.1016/0304-3932(83)90060-0Suche in Google Scholar

Christiano, L. J., M. Eichenbaum, and C. L. Evans. 2005. “Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy.” Journal of Political Economy 113: 1–45.10.1086/426038Suche in Google Scholar

Christiano, L. J., M. S. Eichenbaum, and M. Trabandt. 2013. “Unemployment and Business Cycles.” NBER Working Paper No. 19265, National Bureau of Economic Research.10.3386/w19265Suche in Google Scholar

Christoffel, K. and K. Kuester. 2008. “Resuscitating the Wage Channel in Models with Unemployment Fluctuations.” Journal of Monetary Economics 55: 865–887.10.1016/j.jmoneco.2008.03.009Suche in Google Scholar

Christoffel, K., J. Costain, G. de Walque, K. Kuester, T. Linzert, S. Millard, and O. Pierrard. 2009. “Inflation Dynamics with Labour Market Matching: Assessing Alternative Specifications.” Working Paper Series No. 1053, European Central Bank.10.2139/ssrn.1684023Suche in Google Scholar

Coles, M. G., and A. Moghaddasi Kelishomi. 2011. “New Business Start-ups and the Business Cycle.” CEPR Discussion Papers No. 8588, Centre for Economic Policy Research.Suche in Google Scholar

Costain, J. S. and M. Reiter. 2008. “Business Cycles, Unemployment Insurance, and the Calibration of Matching Models.” Journal of Economic Dynamics and Control 32: 1120–1155.10.1016/j.jedc.2007.04.008Suche in Google Scholar

Di Pace, F., and M. S. Hertweck. 2012. “Labour Market Frictions, Monetary Policy, and Durable Goods.” Working Paper Series of the Department of Economics No. 2012-09, University of Konstanz.Suche in Google Scholar

Fujita, S. 2011. “Dynamics of Worker Flows and Vacancies: Evidence from the Sign Restriction Approach.” Journal of Applied Econometrics 26: 89–121.10.1002/jae.1111Suche in Google Scholar

Fujita, S. and G. Ramey. 2007. “Job Matching and Propagation.” Journal of Economic Dynamics and Control 31: 3671–3698.10.1016/j.jedc.2006.12.008Suche in Google Scholar

Fujita, S., and G. Ramey. 2009. “The Cyclicality of Separation and Job Finding Rates.” International Economic Review 50: 415–430.10.1111/j.1468-2354.2009.00535.xSuche in Google Scholar

Gertler, M. and A. Trigari. 2009. “Unemployment Fluctuations with Staggered Nash Wage Bargaining.” Journal of Political Economy 117: 38–86.10.1086/597302Suche in Google Scholar

Haefke, C., M. Sonntag, and T. van Rens. 2012. “Wage Rigidity and Job Creation.” CEPR Discussion Papers No. 8968, Centre for Economic Policy Research.Suche in Google Scholar

Hagedorn, M., and I. Manovskii. 2008. “The Cyclical Behavior of Equilibrium Unemployment and Vacancies Revisited.” American Economic Review 98: 1692–1706.10.1257/aer.98.4.1692Suche in Google Scholar

Hall, R. 2005. “Employment Fluctuations with Equilibrium Wage Stickiness.” American Economic Review 95: 50–65.10.1257/0002828053828482Suche in Google Scholar

Hall, R. E. and P. R. Milgrom. 2008. “The Limited Influence of Unemployment on the Wage Bargain.” American Economic Review 98: 1653–1174.10.1257/aer.98.4.1653Suche in Google Scholar

Hornstein, A., P. Krusell, and G. L. Violante. 2011. “Frictional Wage Dispersion in Search Models: A Quantitative Assessment.” American Economic Review 101: 2873–2898.10.1257/aer.101.7.2873Suche in Google Scholar

Jung, P. and K. Kuester. 2011. “The (Un)importance of Unemployment Fluctuations for the Welfare Cost of Business Cycles.” Journal of Economic Dynamics and Control 35: 1744–1768.10.1016/j.jedc.2011.05.008Suche in Google Scholar

King, R. G. and J. K. Thomas. 2006. “Partial Adjustment without Apology.” International Economic Review 47: 779–809.10.1111/j.1468-2354.2006.00396.xSuche in Google Scholar

Krause, M. and T. A. Lubik. 2007. “Does Intra-firm Bargaining Matter for Business Cycle Dynamics?” Discussion Paper Series 1: Economic Studies No. 2007, 17, Deutsche Bundesbank, Research Centre.10.2139/ssrn.2785292Suche in Google Scholar

Kudlyak, M. 2013. “The Cyclicality of the User Cost of Labor.” Working Paper No. 09-12R, Federal Reserve Bank of Richmond.Suche in Google Scholar

Lemieux, T. 2006. “Increasing Residual Wage Inequality: Composition Effects, Noisy Data, or Rising Demand for Skill?” American Economic Review 96: 461–498.Suche in Google Scholar

Merz, M. and E. Yashiv. 2007. “Labor and the Market Value of the Firm.” American Economic Review 97: 1419–1431.10.1257/aer.97.4.1419Suche in Google Scholar

Mortensen, D. T. and É. Nagypál. 2007. “More on Unemployment and Vacancy Fluctuations.” Review of Economic Dynamics 10: 327–347.10.1016/j.red.2007.01.004Suche in Google Scholar

Nash, J. 1953. “Two-person Cooperative Games.” Econometrica 21: 128–140.10.2307/1906951Suche in Google Scholar

Petrongolo, B. and C. A. Pissarides. 2001. “Looking into the Black Box: A Survey of the Matching Function.” Journal of Economic Literature 39: 390–431.10.1257/jel.39.2.390Suche in Google Scholar

Pissarides, C. A. 2000. Equilibrium Unemployment Theory, Cambridge, Massachusetts: The MIT Press.Suche in Google Scholar

Pissarides, C. A. 2009. “The Unemployment Volatility Puzzle: Is Wage Stickiness the Answer?” Econometrica 77: 1339–1369.10.3982/ECTA7562Suche in Google Scholar

Ravn, M. O. and S. Simonelli. 2007. “Labor Market Dynamics and the Business Cycle: Structural Evidence for the United States.” Scandinavian Journal of Economics 109: 743–777.10.1111/j.1467-9442.2007.00520.xSuche in Google Scholar

Rogerson, R. and R. Shimer. 2011. “Search in Macroeconomic Models of the Labor Market.” In Handbook of Labor Economics, Handbooks in Economics, volume 4A, edited by O. Ashenfelter and D. Card, Chapter 7, 619–700. Amsterdam: Elsevier.10.1016/S0169-7218(11)00413-8Suche in Google Scholar

Rotemberg, J. J. and M. Woodford. 1997. “An Optimization-based Econometric Framework for the Evaluation of Monetary Policy.” In NBER Macroeconomics Annual 1997, NBER Macroeconomics Annual, volume 12, edited by B. S. Bernanke and J. Rotemberg, 297–361. Cambridge, MA: MIT Press.10.1086/654340Suche in Google Scholar

Rubinstein, A. 1982. “Perfect Equilibrium in a Bargaining Model.” Econometrica, 50, 97–109.Suche in Google Scholar

Shimer, R. 2004. “The Consequences of Rigid Wages in Search Models.” Journal of the European Economic Association 2: 469–479.10.1162/154247604323068159Suche in Google Scholar

Shimer, R. 2005. “The Cyclical Behavior of Equilibrium Unemployment and Vacancies.” American Economic Review 95: 25–49.10.1257/0002828053828572Suche in Google Scholar

Shimer, R. 2012. “Reassessing the Ins and Outs of Unemployment.” Review of Economic Dynamics 15: 127–148.10.1016/j.red.2012.02.001Suche in Google Scholar

Silva, J. I. and M. Toledo. 2009. “Labor Turnover Costs and the Cyclical Behavior of Vacancies and Unemployment.” Macroeconomic Dynamics 13: 76–96.10.1017/S1365100509080122Suche in Google Scholar

Solon, G., R. Barsky, and J. A. Parker. 1994. “Measuring the Cyclicality of Real Wages: How Important is Composition Bias?” The Quarterly Journal of Economics, 109: 1–25.Suche in Google Scholar

Thomas, C. 2008. “Search and Matching Frictions and Optimal Monetary Policy.” Journal of Monetary Economics 55: 936–956.10.1016/j.jmoneco.2008.03.007Suche in Google Scholar

Uhlig, H. 1999. “A Toolkit for Analysing Nonlinear Dynamic Stochastic Models Easily.” In Computational Methods for the Study of Dynamic Economies, edited by R. Marimon and A. Scott, 30–61. Oxford University Press.10.1093/0199248273.003.0003Suche in Google Scholar

Yashiv, E. 2000. “The Determinants of Equilibrium Unemployment.” American Economic Review 90: 1297–1322.10.1257/aer.90.5.1297Suche in Google Scholar

Yashiv, E. 2006. “Evaluating the Performance of the Search and Matching Model.” European Economic Review 50: 909–936.10.1016/j.euroecorev.2006.03.001Suche in Google Scholar

Published Online: 2013-10-12
Published in Print: 2013-01-01

©2013 by Walter de Gruyter Berlin Boston

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