Income, income inequality, and health: Evidence from China

This paper tests using survey data from China whether individual health is associated with income and community-level income inequality. Although poor health and high inequality are key features of many developing countries, most of the earlier literature has drawn on data from developed countries in studying the association between the two. We find that self-reported health status increases with per capita income, but at a decreasing rate. Controlling for per capita income, we find an inverted-U association between self-reported health status and income inequality, which suggests that high inequality in a community poses threats to health. We also find that high inequality increases the probability of health-compromising behavior such as smoking and alcohol consumption. Most of our findings are robust to different measures of health status and income inequality. Journal of Comparative Economics 34 (4) (2006) 668–693.     

Sick of work or too sick to work? Evidence on self-reported health shocks and early retirement from the BHPS

We follow individuals as they retire using discrete-time hazard models applied to a stock sample from 12 waves of the British Household Panel Survey. We use a generalised ordered probit model to explore the existence of reporting bias and to purge the self-reported measure of health of this bias. This model takes into account the possibility that anticipated retirement may influence reporting of health. There is evidence that health shocks are a determinant of retirement age. This is the case for both men and women and is observed for both health limitations and a measure based on latent health status derived from the generalised ordered probit model. While the size of the health effect varies according to how we measure health, the relative effect is large compared to the other variables, and in particular when compared to the effects of private pensions. However numerical simulations show that this high hazard ratio interacts with the, relatively low, incidence of new health limitations among the age group of interest to generate only a modest number of excess early retirements. Further, our results do not show evidence that the health status of their partner affects the hazard of early retirement for both men and women. Having an employed partner does reduce the hazard of early retirement.     

Health,time allocation and work: empirical evidence from Turkey

This article investigates the relationship between health status and time allocation decisions of individuals. Although many studies address impacts of health on labour supply, few studies explore associations of health status with non-market work activities. Using a nationally representative sample from a recent Turkish Time Use Survey, this article employs Seemingly Unrelated Regression (SUR) framework to estimate multiple equations of various time use categories. Consistent with literature, empirical results indicate that higher levels of self-reported health status (SRHS) are associated with more time spent in market work. However, better health level is negatively correlated with time spent in leisure and sleep. There is mixed evidence between self-reported health status (SRHS) and time spent on non-market work. There is a negative weak association between health and time devoted to personal care. Finally, demographics such as gender, age, education and marital status display correlations with time allocation of Turkish individuals.     

Survival expectations,subjective health and smoking: evidence from SHARE

This article aims to assess how the risk perceptions of smokers affect survival expectations and subjective health. Data from the Survey of Health, Ageing and Retirement in Europe, which include a numerical measure of subjective survival probability, are used to estimate a joint recursive system of equations that describe the relationships among survival expectations, subjective health status and smoking duration. A finite mixture model is used to address endogeneity and unobservable heterogeneity. This approach allows for two types of individuals with different observable characteristics to be identified in the examined population. We find that only in the population of the first type, current and former smokers incorporate the effects of smoking duration into their assessments of survival probabilities. For both types, quitting smoking affects current perceptions of smoking risks, causing the overestimation of both survival probability and subjective health.     

THE IMPACT OF PRICES AND CONTROL POLICIES ON CIGARETTE SMOKING AMONG COLLEGE STUDENTS

Smoking among youths and young adults rose throughout the 1990s. Numerous policies were enacted to try to reverse this trend. However, little is known about the impact these policies have on the smoking behavior of young adults. This article uses a dichotomous indicator of daily smoking participation in the past 30 days, an ordered measure representing the frequency of cigarette consumption, and a quasi-continuous measure of the number of cigarettes smoked per day on average to examine the impact of cigarette prices, clean indoor air laws, and campus-level smoking policies on the smoking behaviors of a 1997 cross section of college students. The results of the analysis indicate that higher cigarette prices are associated with lower smoking participation and lower levels of use among college student smokers. Local- and state-level clean indoor air restrictions have a cumulative impact on the level of smoking by current smokers. Complete smoking bans on college campuses are associated with lower levels of smoking among current smokers but have no significant impact on smoking participation. Bans on cigarette advertising on campus as well as bans on the sale of cigarettes on campus have no significant effect on the smoking behavior of college students.     

Controlling for the underreporting of remittances

Empirical studies that use self-reported data on remittances to measure the latter's impact on microeconomic incentives mostly ignore the potential errors associated with reporting/measurement issues. An econometric procedure to control for these errors is developed and applied to household level data from Armenia. We find evidence of systematic underreporting of remittances. After controlling for this, we find a strong negative impact of remittances on incentives to work.     

Anchoring Measurement of the Middle-Income Class to Subjective Evaluation

What constitutes the middle class is hotly debated. Following an income-based approach, a main issue concerns how to fix the income boundaries that define the middle-income tier. This paper offers a novel model-based approach to the use of self-reported class evaluation for identifying those boundaries. The self-declared status responses are modeled using a non-conventional parametrization of an ordered logistic model. In this parametrization, the cut-points of the model are directly interpretable as income boundaries, and the variance of the errors captures the idiosyncratic heterogeneity of the outcome variable. The use of subjective data is exemplified in the estimation of the middle class in Kazakhstan over the period 2003–2015.     

Framing and free riding: emotional responses and punishment in social dilemma games

In this paper, we report an experimental investigation of the effect of framing on social preferences, as revealed in a one-shot linear public goods game. We use two types of indicator to measure social preferences: self-reported emotional responses; and, as a behavioural indicator of disapproval, punishment. Our findings are that, for a given pattern of contributions, neither type of indicator depends on the Give versus Take framing that we manipulate. To this extent, they suggest that the social preferences we observe are robust to framing effects.     

The education–suicide mortality gradient

Using the fifth release of the National Longitudinal Mortality Survey, I examine the role of educational attainment and self-reported health on 6- and 11-year suicide mortality risk in the United States. I first replicate the original results reported by Hamermesh and Soss. . Then, augmenting the Hamermesh model with initial educational attainment and self-reported health status, I find that years of education significantly raises suicide mortality risk in the US after controlling for initial self-reported health. This result is robust to regression specification, replication and the inclusion of covariates.     

Methods for analyzing data from Delphi panels: Some evidence from a forecasting study

Delphi and other methods of using expert opinion to generate forecasts can be a useful tool for planning, impact assessment, and policy analysis. Unfortunately, little is known about the accuracy of forecasts produced using these methods, so their utility is limited at present. Based on the logic of the Delphi method, I suggest that: 1) forecast accuracy should increase across rounds of a Delphi iteration, 2) there is a positive correlation between a panelist's uncertainty about a forecast and his or her shift in forecast from round to round, 3) forecasts weighted by self-reported confidence will be more accurate than unweighted forecasts, and 4) the use of robust estimates of location as summaries of expert opinion yield better forecasts than nonrobust measures. A Delphi experiment provides little support to any of these hypotheses. This finding suggests that traditional assumptions about the proper methods for analyzing a Delphi study may be inappropriate.     

Widowhood and health of elderly in India: examining the role of economic factors using structural equation modeling

Evidence on the association between widowhood and health is widely available in the literature. However, there is a dearth of analysis on the mechanism through which widowhood affects the health status of an individual, particularly in old age, specifically whether widowhood among the elderly affects their health through their economic conditions. This paper purports to establish both the direct and indirect effects of widowhood on self-reported health status among aged Indians. We examine the mediating effect of economic factors such as income, labor force participation, extent of economic independence and other economic factors in the relationship between widowhood and health status. Structural Equation Modeling (SEM) is employed to test specific hypotheses. We use unit level 60th round data for the year 2004 surveyed by the National Sample Survey Organization (NSSO). The results confirm that poor economic conditions have a mediating effect on the relationship between widowhood and health and, therefore, any policy to reduce the effect of widowhood on health must be based on economic factors.     

Causal effect of early initiation on adolescent smoking patterns

Abstract.  A key concern in policy debates over youth smoking is whether preventing children from smoking will stop them from smoking as adults or merely defer initiation into smoking. This paper estimates determinants of smoking status in late adolescence viewing smoking at age 14 as an endogenous 'treatment' on subsequent smoking. This approach disentangles causation from unobserved heterogeneity and allows addictiveness to vary across individuals. Exploiting large tax changes across time and across regions in Canada in the early 1990s, the estimated model suggests that smoking is highly addictive for the average youth but less so for youths who actually do initiate early or who are likely to be induced to initiate early at the margin. Thus, policies that deter initiation will reduce eventual smoking rates, but not by as large a magnitude as conventional econometric models might suggest. JEL classification: I1, C3     

Advertising and the aggregate demand for cigarettes

The study specifies a model which explains aggregate demand for cigarettes in terms of price, income and advertising. Publicity about the health effects of smoking is treated as a form of ‘anti-advertising’. A distinctive feature is that an attempt is made to measure advertising in terms of ‘messages’ rather than using the more common, but theoretically inappropriate, expenditure measure. The model is tested against quarterly U.K. data for the period 1957 II to 1968 IV, using ordinary least squares (OLS) regression. The results suggest that advertising had a positive, statistically significant impact on sales, and that this impact was only partly offset by the amount of publicity given to the health effects of smoking.     

The impact of public smoking bans on well‐being externalities: Evidence from a policy experiment

Recent studies on the effects of anti‐smoking policies on subjective well‐being present mixed results and do not account for potential externalities, especially among couples. We contribute to the literature by evaluating the impact of smoking bans on well‐being externalities among smokers and non‐smokers as well as couples of different types of smokers. We exploit the policy experiment provided by the timing of the UK public smoking bans and measure well‐being via the GHQ . We employ matching techniques combined with flexible difference‐in‐differences fixed effects panel data models on data from the British Household Panel Survey. The joint use of matching with fixed effects specifications allows building more comparable treatment and control groups, producing less model‐dependent results and accounting for individual‐level unobserved heterogeneity. We find that public smoking bans appear to have a statistically significant short‐term positive impact on the well‐being of married individuals, especially among women with dependent children. These effects appear to be robust to alternative specifications and placebo tests and are discussed in the light of the economic theory and recent evidence.     

THE ECONOMIC EFFECT OF BANNING SMOKING IN WISCONSIN'S BARS AND RESTAURANTS

There is much debate as to whether or not the passage of no‐smoking laws has adverse consequences for businesses in the hospitality industry. In 2010, the state of Wisconsin implemented a law that banned smoking in all public places. Using a panel of county‐level employment data, I examine the relationship between the implementation of smoking bans in Wisconsin and the subsequent changes in bar and restaurant employment. Using variation in the timing of bans that occurred as a result of four counties that implemented local bans prior to the July 2010 statewide ban, I conduct a difference‐in‐differences analysis to measure the average treatment effect of implementing a smoking ban in Wisconsin. I find that restaurant employment is not affected and that bar employment is significantly reduced as a result of the smoking ban. I also find that counties with higher levels of smoking prevalence see greater reductions in bar employment when a smoking ban is enacted. Back‐of‐the‐envelope estimates suggest that even though there are employment losses, the benefits of the smoking ban outweigh the costs. (JEL L510, D780)     

A reappraisal of the Meese–Rogoff puzzle

Several explanations have been put forward for the Meese–Rogoff puzzle that exchange rate models cannot outperform the random walk in out-of-sample forecasting. We suggest that a simple explanation for the puzzle is the use of the root mean square error (RMSE) to measure forecasting accuracy, presenting a rationale as to why it is difficult to beat the random walk in terms of the RMSE. By using exactly the same exchange rates, time periods and estimation methods as those of Meese and Rogoff, we find that their results cannot be overturned even if the models are estimated with time-varying coefficients. However, we also find that the random walk can be outperformed by the same models if forecasting accuracy is measured in terms of the ability to predict direction, in terms of a measure that combines magnitude and direction and in terms of profitability.     

Self‐Assessed Social Position and Poverty

In this article, we use microlevel data extracted from the 2006 Japanese General Social Surveys to analyze the relationships between self‐assessed social position and socioeconomic factors such as income and poverty. We provide the posterior results of the estimation of the Bayesian multivariate ordered probit model and propose an inequality measure for self‐assessed social position on the basis of the posterior results. We call the inequality measure “regret” and show that the distributions of regret differ for people above and below the poverty line.     

Adherence and outcomes associated with copayment burden in schizophrenia: a cross-sectional survey

Objective: Assess the association of schizophrenia patients' perceived copayment burden with medication adherence and outcomes.

Methods: Patients with schizophrenia (aged 18+) completed self-reported questionnaires. Analyses included those currently using a second-generation antipsychotic (SGA) with no exposure to clozapine or depot formulation antipsychotics. Adherence was assessed using the Morisky Medication Adherence Scale (MMAS). Outcomes included emergency room (ER) use, hospitalization, attempted suicide, missed work due to health, and experiencing severe psychological distress. Logistic regression was used to adjust for demographics, health characteristics, psychotropic medication use, and insurance status.

Results: Of 351 schizophrenia patients, 39% perceived copayment burden. These patients were less than half as likely to have complete adherence [OR = 0.427; 95% CI:0.257, 0.711; p = 0.001] Copayment burden was associated with greater likelihood of ER use, [OR = 2.157; 95% CI:(1.322, 3.520); p = 0.002], hospitalization [OR = 2.512; 95% CI: (1.475, 4.277); p < 0.001], attempted suicide[OR = 2.385; 95% CI: (1.156, 4.920); p = 0.019], severe psychological distress [OR = 1.833; 95% CI:1.092, 3.075; p = 0.022] and greater likelihood of missing work [OR = 7.193; 95% CI: 2.554, 20.256; p < 0.001].

Conclusions: Copayment burden is associated with poorer medication adherence and outcomes. Formularies that reduce copayment burden for SGAs may positively affect medication adherence and outcomes among schizophrenia patients.

Limitations: Patient data were self-reported, which may have introduced additional bias in the study measures. Also, the use of a cross-sectional design precludes causal inference and the use of the current sampling methodology (both interview and Internet panel) might impact the ability to generalize the results to the broader population.     

EFFECT OF SURVEY CONDITIONS ON SELF-REPORTED SUBSTANCE USE

This paper examines the impact of survey conditions on the self-reported use of marijuana, cocaine, and alcohol in the 1984 and 1988 waves of the National Longitudinal Survey of Youth (NLSY). The analysis obtains probit estimates of lifetime and current participation rates and ordered probit estimates for the current frequency of use. The results clearly indicate that the manner in which the NLSY survey is administered significantly affects the self-reported substance use data. The presence of others at administration, self-administration, and data collection by telephone interview are particularly important influences .