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on Economics of Ageing |
| By: | Tracy A. Falba; William T. Gallo; Jody L. Sindelar |
| Abstract: | We explore the impact on depressive symptoms of deviation in actual labor force behavior at age 62 from earlier expectations. Our sample of 4,241 observations is drawn from the Health and Retirement Study (HRS). We examine workers who were less than 62 years of age at the 1992 HRS baseline, and who had reached age 62 by our study endpoint, enabling comparison of actual labor force withdrawal with earlier expectations. Poisson regression were used to estimate the impact of expected full-time work status on depressive symptoms; regressions are estimated separately for those working fulltime at age 62 and those not working fulltime. We found significant effects on depression at age 62 both for full-time workers who expected not to be working full-time, and for participants not working full-time who expected to be doing so. These results hold even after adjustment for earlier depressive symptoms, sociodemographic and other relevant controls. The findings suggest that working longer and retiring earlier than expected each may compromise psychological well-being. The current financial crisis may result in both scenarios as some workers may have to work longer than expected due to the decline in pension and other wealth while others may retire earlier due to job loss. |
| JEL: | I10 I18 J14 J18 J26 |
| Date: | 2008–10 |
| URL: | http://d.repec.org/n?u=RePEc:nbr:nberwo:14435&r=age |
| By: | Mishra, Tapas (World Population Program, International Institute for Applied Systems Analysis, Laxenburg, Austria); Jumah, Adusei (Department of Economics and Finance, Institute for Advanced Studies, Vienna, Austria, and Department of Economics, University of Vienna, Vienna, Austria); Parhi, Mamata (BETA, Louis-Pasteur University, Strasbourg, France) |
| Abstract: | This paper models total factor productivity (TFP) in space and proposes an empirical model for TFP interdependence across spatial locations. The interdependence is assumed to occur due to age-structured human capital dynamics. A semi-parametric spatial vector autoregressive framework is suggested for modeling spatial TFP dynamics where the role of demographic state and technological change are explicitly incorporated in the model to influence their spatial TFP co-movements. Empirical scrutiny in case of Asian countries suggests that cross-country human capital differences in their accumulation and appropriation pattern significantly influenced TFP volatility interdependence. The finding of complementarity in TFP in spatial locations calls for joint policy program for improving aggregate and individual country welfare. |
| Keywords: | Total factor productivity, Spatial growth, Non-linearity, Human capital, Age-structure, Semi-parametric VAR |
| JEL: | C14 C31 E61 N10 O30 O47 |
| Date: | 2008–10 |
| URL: | http://d.repec.org/n?u=RePEc:ihs:ihsesp:226&r=age |