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Unemployment and Liquidity Constraints

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  • Vassilis A. Hajivassiliou
  • Yannis M. Ioannides

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Abstract

We present a dynamic framework for the interaction between borrowing (liquidity) constraints and deviations of actual hours from desired hours, both measured by discrete-valued indicators, and estimate it as a system of dynamic binary and ordered probit models with panel data from the Panel Study of Income Dynamics. We analyze a household's propensity to be liquidity constrained by means of a dynamic binary probit model. We analyze qualitative aspects of the conditions of employment, namely whether the household head is involuntarily overemployed, voluntarily employed, or involuntarily underemployed or unemployed, by means of a dynamic ordered probit model. We focus on the possible interaction between the two types of constraints. We estimate these models jointly using maximum simulated likelihood, where we allow for individual random effects along with an autoregressive process for the general error term in each equation. A novel feature of our method is that it allows for the random effects to be correlated with regressors in a time-invariant fashion. Our results provide strong support for the basic theory of constrained behavior and the interaction between liquidity constraints and exogenous constraints on labor supply. Copyright © 2007 John Wiley & Sons, Ltd.

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Paper provided by Department of Economics, Tufts University in its series Discussion Papers Series, Department of Economics, Tufts University with number 9925.

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Date of creation: 1999
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Handle: RePEc:tuf:tuftec:9925

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Citations

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Cited by:
  1. Laura Leete & Neil Bania, 2010. "The effect of income shocks on food insufficiency," Review of Economics of the Household, Springer, vol. 8(4), pages 505-526, December.
  2. Jean-Marie Dufour & Joachim Wilde, 2013. "Weak Identification in Probit Models with Endogenous Covariates," Working Papers 95, Institute of Empirical Economic Research, revised 28 Feb 2013.
  3. Bianconi, Marcelo & Tan, Liang, 2010. "Cross-listing premium in the US and the UK destination," International Review of Economics & Finance, Elsevier, vol. 19(2), pages 244-259, April.
  4. Tomura, Hajime, 2013. "Heterogeneous beliefs and housing-market boom-bust cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 37(4), pages 735-755.
  5. Manuela Deidda, 2014. "Precautionary saving under liquidity constraints: evidence from Italy," Empirical Economics, Springer, vol. 46(1), pages 329-360, February.
  6. Jeong-Joon Lee & Yasuyuki Sawada, 2005. "Precautionary Saving under LiquidityConstraints: Evidence from Rural Pakistan," CIRJE F-Series CIRJE-F-377, CIRJE, Faculty of Economics, University of Tokyo.
  7. António Afonso & Pedro Gomes & Philipp Rother, 2006. "What “Hides” Behind Sovereign Debt Ratings?," Working Papers Department of Economics 2006/35, ISEG - School of Economics and Management, Department of Economics, University of Lisbon.
  8. Hajivassiliou, V. & Savignac, F., 2008. "Financing Constraints and a Firm's Decision and Ability to Innovate: Establishing Direct and Reverse Effects," Working papers 202, Banque de France.
  9. Tagkalakis, Athanasios, 2008. "The effects of fiscal policy on consumption in recessions and expansions," Journal of Public Economics, Elsevier, vol. 92(5-6), pages 1486-1508, June.
  10. Sònia Muñoz, 2006. "Habit Formation and Persistence in Individual Asset Portfolio Holdings," IMF Working Papers 06/29, International Monetary Fund.
  11. António Afonso & Pedro Gomes & Philipp Rother, 2006. "Ordered Response Models for Sovereign Debt Ratings," Working Papers Department of Economics 2006/34, ISEG - School of Economics and Management, Department of Economics, University of Lisbon.

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