The Insurance Role of Household Labor Supply for Older Workers: Preliminary Results

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1 / 22 The Insurance Role of Household Labor Supply for Older Workers: Preliminary Results Yanan Li (Dyson School, Cornell) Victoria Prowse (Department of Economics, Cornell)

2 / 22 Introduction Previous studies documented life-cycle patterns of employment, wages, unemployment etc. (see, e.g., Maestas and Zissimopoulos 2010) Employment risk high for older workers Earnings loss associated with displacement increases with age (Rodriguez and Zavodny 2002; Farber 2005; Couch et al. 2009) Older workers experience relatively longer post-job-loss unemployment spells (Chan and Stevens 2001) Welfare and policy implications of older population s high employment risk depend on the extent that older households can use public or intra-household insurance

3 / 22 Introduction A couple household may adjust secondary earner s labor supply to cushion impact of primary worker s job loss Several studies document added worker effect : labor supply of secondary earner increases when primary earner is subject to earnings or employment shock Contemporaneous cross-spouse effects: e.g., Mincer 1962, Heckman and MaCurdy 1980, Lundberg l985, Spletzer 1997, Cullen and Gruber 2000 Longer-term perspective: Stephens Jr (2002) shows husband s job displacement leads to a prolonged increase in his wife s expected earnings and likelihood of employment Blundell et al. (2012) demonstrate a consumption-smoothing role for household labor supply

4 / 22 Introduction Here, explore how older and younger couple households use adjustments in wife s labor supply to mitigate effects of husbands negative employment shocks Does added worker effect apply to older households? Policy implications: extent of intra-household insurance from labor supply for older households informs on function of e.g., DI, UI and Social Security Extend existing work in two further respects: Distinguish between unemployment and non-participation - are demand constraints greater in older households? Use monthly information husbands and wives labor market outcomes - examine household labor supply in the months immediately after the husband s negative employment shock

Data & Sample Sample of married and cohabiting households drawn from the 2003, 2005, 2007, 2009 and 2011 waves of the Panel Study of Income Dynamics (PSID) Use monthly information about each spouse s labor market status Households report each spouse s labor market status in each month of the previous calender year We distinguish three labor market states: employment, unemployment and non-participation Also extract demographic variables: age, education, state of residence Construct inflow sample of husbands unemployment spells Follow wife s and husband s labor market outcomes in the months and years after husband transitions from employment to unemployment Employment to unemployment transitions henceforth termed negative employment shocks 5 / 22

Data & Sample 6 / 22 Rate 0.2.4.6.8 1 20 30 40 50 60 70 Age (years) Employment Non-participation Unemployment Rate 0.2.4.6.8 1 20 30 40 50 60 70 Age (years) Employment Non-participation Unemployment (a) Men (b) Women Note: Non-participation includes retirement

7 / 22 Methodology Use a difference in difference matching estimator (Heckman et al. 1997, Heckamn et al. 1998) Look at change in wives labor market outcomes relative to month before husbands employment shocks Compare women whose husbands suffered employment shocks with similar women whose husbands remained in employment Measure similarity via propensity score (probability of husband s employment shock) Lots of overlap in distributions of propensity scores of households with and without employment shocks Test for balancing passed Do not reject the joint hypothesis of the equality between the treatment sample and the sample of matched controls in the means of 13 characteristics

8 / 22 Results Present results in three stages 1 Own effect: how are labor market outcomes of cohabiting man impacted by negative employment shock? 2 Cross effect: how do husbands employment shocks impact on wives labor market outcomes 3 Explore smoothing function of adjustment in wives employment behavior Distinguishing between: Younger households (man is aged under 40 years when he becomes unemployed) Older households (man is aged 40 years or older at the start of his unemployment spell) Uncover an interesting life-cycle dimension to the nature of the household response to employment shocks

9 / 22 Results: Men s behavior following own negative employment shock Change in husband's outcome (percentage points) -100-50 0 50 100 Change in husband's outcome (percentage points) -100-50 0 50 100 Employment Unemployment Non-participation Employment Unemployment Non-participation (c) Younger households. (d) Older households. Employment effect of negative employment shock concentrated in year after shock Negative employment shocks have no effect on non-participation (which includes retirement)

10 / 22 Results: Men s behavior following own negative employment shock Old-young difference in change in husband's outcome (percentage points) -10-5 0 5 10 Employment Unemployment Non-participation (e) Difference between older and younger households. In line with previous findings, unemployment spells more persistent for older men

11 / 22 Results: Wives behavior following husbands negative employment shocks Change in wife's outcome (percentage points) -10-5 0 5 10 Employment Unemployment Non-participation (f) Younger households. Younger households: husbands negative employment shocks increase wives employment rate and decreases wives unemployment rate

12 / 22 Results: Wives behavior following husbands negative employment shocks Change in wife's outcome (percentage points) -10-5 0 5 10 Employment Unemployment Non-participation (g) Younger households. Younger households: 6 months after husband s negative employment shock, wife is 7 percentage points more likely to be employed than if husband has remained in employment

13 / 22 Results: Wives behavior following husbands negative employment shocks Change in wife's outcome (percentage points) -10-5 0 5 10 Employment Unemployment Non-participation (h) Older households. Older households: husbands negative employment shocks increase wives unemployment rate and decreases wives rate of non-participation

14 / 22 Results: Wives behavior following husbands negative employment shocks Change in wife's outcome (percentage points) -10-5 0 5 10 Employment Unemployment Non-participation (i) Older households. Older households: No added worker effect

15 / 22 Results: Wives behavior following husbands negative employment shocks Change in wife's outcome (percentage points) -10-5 0 5 10 Employment Unemployment Non-participation (j) Older households. In older households, appears that labor market rations the insurance function of adjustment in wives labor supply

16 / 22 Results: Further Exploring the Smoothing Role of Wives Labor Supply Explore how likelihood of household non-work is impacted by wife s employment adjustment following husband s negative employment shock Wife s labor supply response particulary valuable if she increases employment when her husband is not in employment Increases in the wife s employment that occur when husband has returned to employment less effective at mitigating extreme consequences of employment shocks

17 / 22 Results: Further Exploring the Smoothing Role of Wives Labor Supply Younger households Change in household non-work (percentage points) 0 10 20 30 40 Wife's effect on change in household non-work (percentage points) -5-2.5 0 2.5 (k) Household non-work. (l) Effect of wife s employment adjustment on household non-work. Half of added worker effect occurs when husband is not working

18 / 22 Results: Further Exploring the Smoothing Role of Wives Labor Supply Older households Change in household non-work (percentage points) 0 10 20 30 40 Wife's effect on change in household non-work (percentage points) -5-2.5 0 2.5 (m) Household non-work. (n) Effect of wife s employment adjustment on household non-work. Female labor supply has no effect on household non-work

19 / 22 Summary & Conclusions Added worker effect restricted to younger households However, in younger households only half of the added worker effect occurs when husband is not in employment In older households, following husband entering unemployment, woman more likely unemployed and less likely a non-participant Consistent with rationing of labor supply in older households Intra-household insurance from labor supply seems not to provide insurance against employment shocks for older households Combined with high persistence in unemployment for older workers, results highlight importance of savings and social insurance programs for older households Comments welcome!

References I Blundell, R., Pistaferri, L., and Saporta-Eksten, I. (2012). Consumption inequality and family labor supply. NBER Working Paper, 18445 Chan, S. and Stevens, A.H. (2001). Job loss and employment patterns of older workers. Journal of Labor Economics, 19(2): 484 521 Couch, K.A., Jolly, N.A., and Placzek, D.W. (2009). Earnings losses of older displaced workers a detailed analysis with administrative data. Research on Aging, 31(1): 17 40 Cullen, J. and Gruber, J. (2000). Does unemployment insurance crowd out spousal labor supply? Journal of Labor Economics, 546 572 Farber, H.S. (2005). What do we know about job loss in the united states? evidence from the displaced workers survey, 1984-2004. Technical report 20 / 22

References II Heckamn, J., Ichimura, H., Smith, J., and Todd, P. (1998). Characterizing selection bias using experimental data. Econometrica, 66(5): 1017 1098 Heckman, J. and MaCurdy, T. (1980). A life-cycle model of female labor supply. Review of Economic Studies, 47(1): 47 74 Heckman, J.J., Ichimura, H., and Todd, P.E. (1997). Matching as an econometric evaluation estimator: Evidence from evaluating a job training programme. The review of economic studies, 64(4): 605 654 Lundberg, S. (l985). The added worker effect. Journal of Labor Economics, 3(1): 11 37 Maestas, N. and Zissimopoulos, J. (2010). How longer work lives ease the crunch of population aging. The Journal of Economic Perspectives, 24(1): 139 160 21 / 22

References III Mincer, J. (1962). Labor force participation of married women: A study of labor supply. In Aspects of labor economics, 63 106. Princeton University Press Rodriguez, D. and Zavodny, M. (2002). Changes in the age and education profile of displaced workers. Indus. & Lab. Rel. Rev., 56: 498 Spletzer, J.R. (1997). Reexamining the added worker effect. Economic Inquiry, 35(2): 417 427 Stephens Jr, M. (2002). Worker displacement and the added worker effect. Journal of Labor Economics, 20(3): 504 537 22 / 22