Harding University Spring Sing Program 1987

Program for the 1987 Spring Sing performance at Harding University. Hosts and Hostesses: Paul Allen Lockhart, Shelli Lynn Miller, Julie Elizabeth Smith, Terrance Dwight Talley, Jay Alan Wallshttps://scholarworks.harding.edu/spring-sing/1013/thumbnail.jp

Socio-Economic Status, Health Shocks, Life Satisfaction and Mortality: Evidence from an Increasing Mixed Proportional Hazard Model

The socio-economic gradient in health remains a controversial topic in economics and other social sciences. In this paper we develop a new duration model that allows for unobserved persistent individual-specific health shocks and provides new evidence on the roles of socio-economic characteristics in determining length of life using 19-years of high-quality panel data from the German Socio-Economic Panel. We also contribute to the rapidly growing literature on life satisfaction by testing if more satisfied people live longer. Our results clearly confirm the importance of income, education and marriage as important factors in determining longevity. For example, a one-log point increase in real household monthly income leads to a 12% decline in the probability of death. We find a large role of unobserved health shocks, with 5-years of shocks explaining the same amount of the variation in length of life as all the other observed individual and socio-economic characteristics (with the exception of age) combined. Individuals with a high level of life satisfaction when initially interviewed live significantly longer, but this effect is completely due to the fact that less satisfied individuals are typically less healthy. We are also able to confirm the findings of previous studies that self-assessed health status has significant explanatory power in predicting future mortality and is therefore a useful measure of morbidity. Finally, we suggest that the duration model developed in this paper is a useful tool when analysing a wide-range of single-spell durations where individual-specific shocks are likely to be important.education, marriage, life satisfaction, shocks, mortality, duration analysis

Investigating the Quitting Decision of Nurses: Panel Data Evidence from the British National Health Service

There is currently a worldwide shortage of registered nurses, driven by large shifts in both the demand for and supply of nurses. Consequently, various policies to increase the recruitment and retention of nurses are under discussion, in particular, the role that wage increases might have in promoting nurse labour supply. In this paper we provide the first detailed empirical investigation into the quitting behaviour of nurses in the British National Health Service (NHS), using a newly constructed longitudinal survey. We fit both single and competing-risks duration models that enable us to establish the characteristics of those nurses who leave the NHS, distinguish the importance of pay in this decision and document the destinations that nurses move to. Contrary to expectations, we find that the hourly wage received by nurses outside of the NHS is around 20% lower than in the NHS, and that hours of work are about the same. However, there is a clear movement away from shift work. Age, seniority, job and employer characteristics are all found to be important predictors of nurses leaving the NHS. However, whilst the effect of wages is found to be statistically significant, the predicted impact of an increase in nurses' pay on retention rates is small. Our main conclusion, therefore, is that the current nurse shortages in the NHS will not be eliminated through substantially increased pay. Rather employers need to identify and address other aspects of the job which are driving nurses' decisions to quit the NHS.nurses, panel data, wages, hours, quitting, NHS

Estimating The Causal Effect of Income on Health: Evidence from Post Reunification East Germany

In this paper we investigate if there was a causal effect of changes in current and 'permanent' income on the health of East Germans in the years following reunification. Reunification was completely unanticipated and therefore can be seen as a providing some exogenous variation, which resulted in a substantial increase in average household incomes for East Germans. Our data source is the German Socio-Economic Panel (GSOEP) between 1991 and 1999, and we fit both random and fixed-effects estimators to our ordinal health measures. Whilst the exogeneity of reunification allows us to establish the causality between income and health, the fixed-effects methodology additionally enables us to control for individual unobservable heterogeneity such as parental background and general attitudes to health. We also provide new evidence on how major life-events impact on health, and we pay close attention to the issue of panel attrition, given that there might be endogenous exits from the panel if the unhealthy are more likely to drop out of the sample. Using cross-sectional variations in income and health we find evidence of a significant positive effect of current income on health. However, after controlling for heterogeneity and using a new decomposition of the fixed-effects estimates, we find no evidence that increased income leads to improved health. This is the case with respect to current income and a measure of 'permanent' income and two alternative definitions of health. We also find no evidence of an effect of regional income on health.Income, Health, German Reunification, Panel Data, Attrition

Happiness Dynamics with Quarterly Life Event Data

This paper addresses the question of when and to what extent individuals are affected by major positive and negative life events, including changes in financial situation, marital status, death of child or spouse and being a victim of crime. The key advantage of our data is that we are able to identify these events on a quarterly basis rather than on the yearly basis used by previous studies. We find evidence that life events are not randomly distributed, that individuals to a large extent anticipate major events and that they quickly adapt. These effects have important implications for the calculation of monetary values needed to compensate individuals for life events such as crime or death of spouse. We find that our new valuation methodology that incorporates these dynamic factors produces considerably smaller compensation valuations than those calculated using the standard approach.life satisfaction, life events, adaptation, compensation

Income and happiness: Evidence, explanations and economic implications

There is now a great deal of micro-econometric evidence, both cross-section and panel, showing that income is positively correlated with well-being. Yet the famous Easterlin paradox shows essentially no change in average happiness at the country level, despite spectacular rises in per capita GDP. We argue that survey well-being questions are indeed good proxy measures of utility, and resolve the Easterlin paradox by appealing to income comparisons: these can be to others (social comparisons) or to oneself in the past (habituation). We review a substantial amount of econometric, experimental and neurological literature consistent with comparisons, and then spell out the implications for a wide range of economic issues.income ; happiness ; social comparisons ; habituation ; economic policy

To Teach or not to Teach? Panel Data Evidence on the Quitting Decision

The question we address in this paper is which factors influence the quitting decision of public sector teachers in England and Wales, using a nationally representative panel data set over 1997-2003. We document the outcomes of former teachers, fit single and competing-risks duration models and examine the influence of relative pay on retention. Surprisingly, we find that teachers who move to outside employment earn 22% less pay, work longer hours, in largely nonprofessional occupations and mainly stay within the public sector. We estimate that a 10% increase in teachers’ relative pay would reduce annual quitting rates by less than 1%.Teachers, Panel Data, Wages, Quitting

Mental Health and Labour Market Participation: Evidence from IV Panel Data Models

A large body of empirical research links mental health and labour market outcomes; however, there are few studies that effectively control for the two-way causality between work and health and the existence of unobserved individual characteristics that might jointly determine health and labour market outcomes. In this study, we estimate the effect of mental health on labour market participation using various models, including instrumental variable models that exploit individual variation observed in panel data. We find robust evidence that a reduction in mental health has a substantial negative impact on the probability of actively participating in the labour market. We calculate that a one standard deviation decrease in mental health decreases the probability of participation by around 17 percentage points. This effect is larger for females and for older individuals. We therefore provide robust evidence that there are substantial costs due to the lost productivity resulting from poor mental health.measurement error, mental health, labour market participation, causality

Destined for (Un)Happiness: Does Childhood Predict Adult Life Satisfaction?

In this paper we address the question of how much of adult life satisfaction is predicted by childhood traits, parental characteristics and family socioeconomic status. Given the current focus of many national governments on measuring population well-being, and renewed focus on effective policy interventions to aid disadvantaged children, we study a cohort of children born in a particular week in 1958 in Britain who have been repeatedly surveyed for 50 years. Importantly, at four points in their adult lives this cohort has been asked about their life satisfaction (at ages 33, 42, 46, and 50). A substantive finding is that characteristics of the child and family at birth predict no more than 1.2% of the variance in average adult life satisfaction. A comprehensive set of child and family characteristics at ages 7, 11 and 16 increases the predictive power to only 2.8%, 4.3% and 6.8%, respectively. We find that the conventional measures of family socioeconomic status, in the form of parental education, occupational class and family income, are not strong predictors of adult life satisfaction. However, we find robust evidence that non-cognitive skills as measured by childhood behavioural-emotional problems, and social maladjustment, are powerful predictors of whether a child grows up to be a satisfied adult. We also find that some aspects of personality are important predictors. Adding contemporaneous adulthood variables for health and socio-economic status increases the predictability of average life satisfaction to 15.6%, while adding long-lags of life satisfaction increases the predictive power to a maximum of 35.5%. Repeating our analyses using data from the 1970 British Cohort Study confirms our main findings. Overall, the results presented in the paper point to average adult life satisfaction not being strongly predictable from a wide-range of childhood and family characteristics by age 16, which implies that there is high equality of opportunity to live a satisfied life, at least for individuals born in Britain in 1958 and 1970.childhood, socioeconomic status, life satisfaction, non-cognitive, cognitive