|
on Insurance Economics |
Issue of 2009‒09‒05
four papers chosen by Soumitra K Mallick Indian Institute of Social Welfare and Bussiness Management |
By: | Jennifer Feenstra Schultz; David Doorn |
Abstract: | The link between rising employer costs for health insurance benefits and demand for part-time workers is investigated using non-public data from the Medical Expenditure Panel Survey- Insurance Component (MEPS-IC). The MEPS-IC is a nationally representative, annual establishment survey from the Agency for Healthcare Research and Quality (AHRQ). Pooling the establishment level data from the MEPS-IC from 1996-2004 and matching with the Longitudinal Business Database and supplemental economic data from the Bureau of Labor Statistics, a reduced form model of the percent of total FTE employees working part-time is estimated. This is modeled as a function of the employer health insurance contribution, establishment characteristics, and state-level economic indicators. To account for potential endogeneity, health insurance expenditures are estimated using instrumental variables (IVs). The unit of analysis is establishments that offer health insurance to full-time employees but not part time employees. Conditional on establishments offering health insurance to full-time employees, a 1 percent increase in employer health insurance contributions results in a 3.7 percent increase in part-time employees working at establishments in the U.S. |
Keywords: | employer health insurance costs; labor demand; part-time employment |
Date: | 2009–04 |
URL: | http://d.repec.org/n?u=RePEc:cen:wpaper:09-08&r=ias |
By: | Robalino, David A.; Zylberstajn, Helio |
Abstract: | This paper solves and estimates a stochastic model of optimal inter-temporal behavior to assess how changes in the design of the unemployment benefits and pension systems in Brazil could affect savings rates, the share of time that individuals spend outside of the formal sector, and retirement decisions. Dynamics depend on five main parameters: preferences regarding consumption and leisure, preferences regarding formal Vs. informal work, attitudes towards risks, the rate of time preference, and the distribution of an exogenous shock that affects movements in and out of the social security system (given individual decisions). The yearly household survey is used to create a pseudo panel by age-cohorts and estimate the joint distribution of model parameters based on a generalized version of the Gibbs sampler. The model does a good job in replicating the distribution of the members of a given cohort across states (in or out of the social security / active or retired). Because the parameters are related to individual preferences or exogenous shocks, the joint distribution is unlikely to change when the social insurance system changes. Thus, the model is used to explore how alternative policy interventions could affect behaviors and through this channel benefit levels and fiscal costs. The results from various simulations provide three main insights: (i) the Brazilian SI system today might generate distortions (lower savings rates and less formal employment) that increase the costs of the system and might generate regressive redistribution; (ii) there are important interactions between the unemployment benefits and pension systems, which calls for joint policy analysis when considering reforms; and (iii) current distortions could be reduced by creating an actuarial link between contributions and benefits and then combining matching contributions and anti-poverty targeted transfers to cover individuals with limited or no savings capacity. |
Keywords: | ,Labor Markets,Labor Policies,Pensions&Retirement Systems,Emerging Markets |
Date: | 2009–08–01 |
URL: | http://d.repec.org/n?u=RePEc:wbk:wbrwps:5027&r=ias |
By: | Joshua Angrist; Stacey Chen; Brigham Frandsen |
Abstract: | The veterans disability compensation (VDC) program, which provides a monthly stipend to disabled veterans, is the third largest American disability insurance program. Since the late 1990s, VDC growth has been driven primarily by an increase in claims from Vietnam veterans, raising concerns about costs as well as health. We use the draft lottery to study the long-term effects of Vietnam-era military service on health and work in the 2000 Census. These estimates show no significant overall effects on employment or work-related disability status, with a small effect on non-work-related disability for whites. On the other hand, estimates for white men with low earnings potential show a large negative impact on employment and a marked increase in non-work-related disability rates. The differential impact of Vietnam-era service on low-skill men cannot be explained by more combat or war-theatre exposure for the least educated, leaving the relative attractiveness of VDC for less skilled men and the work disincentives embedded in the VDC system as a likely explanation. |
Date: | 2009–08 |
URL: | http://d.repec.org/n?u=RePEc:cen:wpaper:09-19&r=ias |
By: | Boris Cournède; Diego Moccero |
Abstract: | There is a case, but there are also counter-arguments. With sufficient forward-looking behaviour among firms and households, price-level targeting can act as a powerful built-in stabiliser through automatic shifts in inflation expectations. This stabilisation mechanism reduces the need for large shifts in policy rates, alleviating the risk of hitting the zero lower bound of nominal interest rates and falling into a liquidity trap. Furthermore, credible price-level targeting can support capital accumulation by protecting the long-run purchasing power of money and reducing the inflation risk premium embedded in actual long-term real interest rates. However, price-level targeting can imply welfare-reducing policy-induced output volatility in situations where the degree of forward-looking behaviour is very low. The self-regulating capacity of price-level targeting can be undermined if central banks are not fully credible. Besides, aggressive inflation targeting can replicate some of (but not all) the benefits of price-level targeting. On balance, the case for adopting price-level targeting is not clear-cut, all the more so since transition costs are likely to be significant.<P>Y a-t-il beaucoup à dire en faveur du ciblage du niveau des prix ?<BR>Oui, mais il y a aussi de sérieux contre-arguments. Si une part suffisante des entreprises et des ménages présente un comportement tourné vers l’avenir, le ciblage du niveau des prix peut fonctionner comme un puissant outil de stabilisation autonome grâce aux ajustements automatiques des anticipations des inflations. Ce mécanisme limite le besoin d’opérer de larges mouvements des taux directeurs, ce qui réduit le risque de heurter la borne zéro sur les taux d’intérêt et de tomber dans une trappe à liquidités. Qui plus est, grâce à la manière dont elle protège le pouvoir d’achat de la monnaie, une politique crédible de ciblage du niveau des prix peut encourager l’accumulation de capital en réduisant la prime contre le risque d’inflation qui est incorporée aux taux d’intérêts réels effectifs. Néanmoins, le ciblage du niveau des prix peut entraîner une volatilité de l’activité préjudiciable au bien-être social si la part des ménages et des entreprises qui sont tournés vers l’avenir est très faible. La capacité de stabilisation automatique d’un régime de ciblage du niveau des prix peut aussi être moindrie si la banque centrale manque de crédibilité. Par ailleurs, une stratégie de ciblage agressif du taux d’inflation peut reproduire une partie (mais non pas l’ensemble) des avantages du ciblage du niveau des prix. Tout bien pesé, les arguments en faveur du ciblage du niveau des prix ne justifient pas de manière nette un changement de stratégie monétaire, d’autant plus que les coûts de transition risquent d’être élevés. |
Keywords: | monetary policy, politique monétaire, central bank, banque centrale, inflation targeting, ciblage d’inflation, zero lower bound, borne zéro des taux d’intérêt, monetary systems, régimes monétaires, price level targeting, ciblage du niveau des prix, price stability, stabilité des prix, trappe à liquidités, liquidity trap |
JEL: | E42 E52 |
Date: | 2009–08–24 |
URL: | http://d.repec.org/n?u=RePEc:oec:ecoaaa:721-en&r=ias |