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Author: Gilleskie, Donna B.

Resulting in 5 citations.

1.	Gilleskie, Donna B. Han, Euna Norton, Edward C.
1.	Disentangling the Contemporaneous and Dynamic Effects of Human and Health Capital on Wages over the Life Cycle NBER Working Paper No. 22430, National Bureau of Economic Research, July 2016. Also: http://www.nber.org/papers/w22430 Cohort(s): NLSY79 Publisher: National Bureau of Economic Research (NBER) Keyword(s): Body Mass Index (BMI); Human Capital; Life Cycle Research; Wage Determination; Wages, Women; Weight In this study we quantify the life-cycle effects of human and health capital on the wage distribution of females, with a focus on health measured by body mass. We use NLSY79 data on women followed annually up to twenty years during the time of their lives when average annual weight gain is greatest. We allow body mass to explain variation in wages contemporaneously conditional on observed measures of human capital and productivity histories (namely, education, employment experience, marital status, and family size) and dynamically over the life cycle through its impact on the endogenous histories of behaviors that determine wages. We find significant differences in the contemporaneous effect and the dynamic effect of body mass on wages, both across females of different races and over the distribution of wages.
	Bibliography Citation Gilleskie, Donna B., Euna Han and Edward C. Norton. "Disentangling the Contemporaneous and Dynamic Effects of Human and Health Capital on Wages over the Life Cycle." NBER Working Paper No. 22430, National Bureau of Economic Research, July 2016.

2.	Gilleskie, Donna B. Han, Euna Norton, Edward C.
2.	Disentangling the Contemporaneous and Dynamic Effects of Human and Health Capital on Wages over the Life Cycle Review of Economic Dynamics 25 (April 2017): 350-383. Also: http://www.sciencedirect.com/science/article/pii/S1094202517300418 Cohort(s): NLSY79 Publisher: Society for Economic Dynamics Keyword(s): Body Mass Index (BMI); Human Capital; Life Cycle Research; Wage Levels; Wage Penalty/Career Penalty; Wages, Women; Weight Permission to reprint the abstract has not been received from the publisher. We quantify the life-cycle effects of human and health capital on the wage distribution of women, with a focus on health capital measured by body mass. We use NLSY79 data on women followed annually up to twenty years during the time of their lives when average annual weight gain is greatest. We measure the wage impact of current body mass (i.e., the contemporaneous or direct effect) while controlling for observed measures of human capital (namely, educational attainment, employment experience, marital status tenure, and family size) and the impacts of an evolving body mass (i.e., the dynamic or indirect effects) on the endogenous histories of behaviors that produce these human capital stocks. We find significant differences in the contemporaneous and dynamic effects of body mass on wages by age, by race, and by wage level.
	Bibliography Citation Gilleskie, Donna B., Euna Han and Edward C. Norton. "Disentangling the Contemporaneous and Dynamic Effects of Human and Health Capital on Wages over the Life Cycle." Review of Economic Dynamics 25 (April 2017): 350-383.

3.	Gilleskie, Donna B. Han, Euna Norton, Edward C.
3.	Untangling the Direct and Indirect Effects of Body Mass Dynamics on Earnings Presented: Toronto, Ontario, 8th World Congress on Health Economics, July 2011 Cohort(s): NLSY79 Publisher: International Health Economics Association Keyword(s): Body Mass Index (BMI); Earnings; Modeling, Random Effects; Obesity; Wages, Women Permission to reprint the abstract has not been received from the publisher. In this study we aim to assess the effect of body mass on earnings. It has been shown that the body mass of white females is negatively correlated with wages (Cawley, 2004). We argue that this observed correlation may capture the influence of body mass on life-cycle decisions such as educational attainment, work experience, marital status, and fertility, which, in turn, determine wages. Similarly, these behaviors may impact body mass over the life cycle. Admittedly, body mass may still have an observed direct impact on wages if weight affects productivity on the job (which, in most data sets, is immeasurable) or if discrimination (also immeasurable) exists. To disentangle these direct and indirect effects we propose to model wages of individuals while jointly explaining accumulation of education and work experience, the decisions to work, to marry, and to have children, and the evolution of body mass over time. We use data from the National Longitudinal Survey of Youth (NLSY, 1979 cohort) and construct a research sample of individuals who are followed annually from the ages of 18-26 in 1983 through the ages of 37-45 in 2002. Because we model many individual decisions and outcomes e.g., education, employment, marriage, children, wages, and body mass) that are potentially correlated through unobserved permanent and time-varying individual characteristics, we use an estimation framework that simultaneously explains variation in the multiple behaviors by variation in both observed and unobserved factors. We model the unobserved factors using a discrete non-linear random effects method that does not require us to make assumptions about the distribution of these unobservables. Rather than simply recover the effect of body mass on the average wage, we estimate the density of wages conditional on observable and unobservable variables using the conditional density estimation technique.
	Bibliography Citation Gilleskie, Donna B., Euna Han and Edward C. Norton. "Untangling the Direct and Indirect Effects of Body Mass Dynamics on Earnings." Presented: Toronto, Ontario, 8th World Congress on Health Economics, July 2011.

4.	Gilleskie, Donna B. Lutz, Byron F.
4.	The Impact of Employer-Provided Health Insurance on Dynamic Employment Transitions NBER Working Paper No. 7307, National Bureau of Economic Research, August 1999. Also: http://papers.nber.org/papers/W7307 Cohort(s): NLSY79 Publisher: National Bureau of Economic Research (NBER) Keyword(s): Benefits, Insurance; Health Care; Heterogeneity; Marital Status; Mobility, Labor Market We estimate the impact of employer-provided health insurance (EPHI) on the job mobility of males over time using a dynamic empirical model that accounts for unobserved heterogeneity. Previous studies of job-lock reach different conclusions about possible distortions in labor mobility stemming from an employment-based health insurance system: a few authors find no evidence of job-lock, while most find reductions in the mobility of insured workers of between 20 and 40%. We use data from the National Longitudinal Survey of Youth which describes the health insurance an individual holds, as well as whether he is offered insurance by his employer. This additional information allows us to model the latent individual characteristics that are correlated with the offer of EPHI, the acceptance of EPHI, and employment transitions. Our results provide an estimate of job-lock unbiased through correlation with positive job characteristics and individual specific turnover propensity. We find no evidence of job-lock among married males, and produce small estimates of job-lock among unmarried males of between 10 and 15%.
	Bibliography Citation Gilleskie, Donna B. and Byron F. Lutz. "The Impact of Employer-Provided Health Insurance on Dynamic Employment Transitions." NBER Working Paper No. 7307, National Bureau of Economic Research, August 1999.

5.	Gilleskie, Donna B. Lutz, Byron F.
5.	The Impact of Employer-Provided Health Insurance on Dynamic Employment Transitions Journal of Human Resources 37,1 (Winter 2002): 129-162. Also: http://www.jstor.org/stable/3069606 Cohort(s): NLSY79 Publisher: University of Wisconsin Press Keyword(s): Benefits; Benefits, Insurance; Health Care; Health/Health Status/SF-12 Scale; Heterogeneity; Job Tenure; Male Sample; Marital Status We estimate the impact of employer-provided health insurance (EPHI) on the job mobility of males over time using a dynamic empirical model that accounts for unobserved heterogeneity. Previous studies of job-lock reach different conclusions about possible distortions in labor mobility stemming from an employment-based health insurance system: a few authors find no evidence of job-lock, although most find reductions in the mobility of insured workers of between 20 and 40 percent. We use data from the National Longitudinal Survey of Youth which includes variables describing the health insurance an individual holds, as well as whether he is offered insurance by his employer. This additional information allows us to model the latent individual characteristics that are correlated with the offer of EPHI, the acceptance of EPHI, and employment transitions. Our results provide an estimate of job-lock unbiased through correlation with positive job characteristics and individual specific turnover propensity. We find no evidence of job-lock among married males, and produce small estimates of job-lock among unmarried males of between 10 and 15 percent.
	Bibliography Citation Gilleskie, Donna B. and Byron F. Lutz. "The Impact of Employer-Provided Health Insurance on Dynamic Employment Transitions." Journal of Human Resources 37,1 (Winter 2002): 129-162.

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