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This study evaluates whether sociodemographic characteristics, political affiliation, family-related circumstances, self-reported health status, and access to health insurance affect public opinion toward the current US health-care system. Opinions about the health-care system were measured in terms of consumer confidence and perceived need for health-care reform. Data come from the 2008 Cooperative Congressional Election Study (CCES), a nationwide survey of 1,000 respondents. All data were collected in November 2008, thus providing a useful alternative to volatile polling data because they were collected prior to and are thus immune to the polarized tone of the debates that have occurred over the past few years. Overall, we found that public confidence in medical technology and quality of care were consistently high, while confidence in the affordability of medical care was much lower among respondents. Younger adults, those with poor health, and those without health insurance had particularly low confidence in their ability to pay for health care. Although a strong majority of the population agreed that the US health-care system was in need of major reform, support for particular types of government-sponsored health insurance programs was primarily determined by political affiliation. In an era where a large proportion of the population has little access to health care (due to lack of insurance) and where the US government is facing tremendous opposition to the implementation of major reform efforts, it is useful to understand which subgroups of the population are most confident in the current health-care system and most likely to support reform efforts, as well as those who are most resistant to change given their precarious health needs, their inability to access health care (as a result of insurance or noninsurance), or their political affiliation.

As an ethnic group, Korean Americans have one of the highest uninsured rates in the U.S. (Brown et al., 2000). Through in-depth interviews (n=14) and surveys (n=268), this study found that one-third of the sample was uninsured. High premiums prevented the uninsured from purchasing health insurance. Although health insurance has been a strong predictor of health services utilization, this study also found that when examining the utilization of various health services by health insurance status, there were no major significant differences with the exception of Korean traditional health services. High deductibles prevented insured persons from utilizing health services.

A random sample of insured adults (n=134) tests the effects of insurance on respondents’ emotional and physical health. Results showed that being married and being widowed improved physical health while having no religious identification heralded less emotional distress. Preferred Provider Organization services satisfaction was related to better physical health. Respondents in households that restructured themselves to acquire or maintain health coverage also reported more emotional distress than those in households without such problems. Implications of our results regarding improving insurance programs and the effects of marital status and the lack of religious affiliation upon adults’ health are discussed.

This chapter reviews the existing empirical evidence on how social insurance affects health. Social insurance encompasses programs primarily designed to insure against health risks, such as health insurance, sick leave insurance, accident insurance, long-term care insurance, and disability insurance as well as other programs, such as unemployment insurance, pension insurance, and country-specific social insurance programs. These insurance systems exist in almost all developed countries around the world. This chapter discusses the state-of-the art evidence on each of these social insurance systems, briefly reviews the empirical methods for identifying causal effects, and examines possible limitations to these methods. The findings reveal robust and rich evidence on first-stage behavioral responses (“moral hazard”) to changes in insurance coverage. Surprisingly, evidence on how changes in coverage impact beneficiaries’ health is scant and inconclusive. This lack of identified causal health effects is directly related to limitations on how human health is typically measured, limitations on the empirical approaches, and a paucity of administrative panel data spanning long-time horizons. Future research must be conducted to fill these gaps. Of particular importance is evidence on how these social insurance systems interact and affect human health over the life cycle.

Institutional rules and economies of scale can create incentives for firms to make inframarginal decisions when offering fringe benefits. We examine how such incentives might affect a firm's offer of health insurance.

We develop and estimate an empirical model of the firm's offer of health insurance that includes incentives created by rules and economies of scale. We quantify the behavioral manifestations from rules and costs as recruiting difficulty in areas outside those in which compensation is set and the percentage of high-skilled jobs in the firm and use the California Health and Employment Surveys (CHES) to estimate the model.

We show a 10–13 percentage point increase in the probability of a firm offering workers health insurance in jobs outside of those in which compensation is being set, if the recruiting difficulty lies in mid- or high-skilled positions. This increase is about twice the size of the increase associated with recruiting difficulty in the position in which compensation is negotiated.

A failure to control for the influence of inframarginal decision making when estimating the wage-insurance tradeoff helps produce wrong-signed estimates.

By bringing institutional rules and economies of scale into the framework of a firm's offer of fringe benefits, we help move the focus of the fringe benefit-wage tradeoff away from the individual level.

The ultimate goal of this paper is to determine the differential effects of health insurance and health status on earnings. We believe that employment-based health insurance serves two purposes. First, health insurance provides protection against catastrophic financial losses associated with illness. Second, health insurance encourages consumption of health care services, which may ultimately improve a person’s health and productivity. To determine how health insurance and health status affect earnings, we estimate an empirical model that specifically examines the relationship between health insurance, health status, and earnings. We find the following. Earnings positively affect the likelihood of having health insurance. Having health insurance improved health status for women, but not for men. Higher earnings resulted in lower health status for women, but had no effect on the health status of men, and better health status and having health insurance increased earnings for both women and men. Our analysis implies that there are some returns to employment-based health insurance that go beyond the basic purpose of insurance.

Introduction: There is a variety of wearables and health applications available in the market which allow the tracking of various health and lifestyle measures like blood sugar, calorie counter, number of steps, sleep patterns, etc. After the Covid-19 pandemic, people have become more aware of their health and use these wearables to maintain a healthy lifestyle. Insurance companies in India are also eyeing the potential usage of these wearables in life and health insurance.

Purpose: This research aims to look at the emergence of wearables and health apps and their usage in India’s life and health insurance industry. This study also focuses on how these devices might benefit insurers’ business models and some of the pitfalls to consider.

Methodology: The study used both primary and secondary data. A survey was conducted to understand the customer perception towards usage of wearables. The secondary research included the analysis of the integration of wearables by insurance companies.

Findings: The research would be helpful to the insurance companies as it would help them to understand the customer’s viewpoint for the usage of wearables in the insurance industry. This study would also allow insurers to understand new dimensions, such as where the wearables improve customer satisfaction and engagement. The study results would be helpful for the customers for the appropriate usage of wearables and the internet of things (IoT). Insurance companies can provide better pricing and make personalised insurance plans that ultimately help customers.

While the Affordable Care Act (ACA) promised to reduce inequalities in insurance coverage between Latinos and non-Latinos by expanding coverage, it also excluded a large portion of noncitizen immigrants. Past research has demonstrated that among Latinos, further inequalities have developed between citizens and noncitizens after the ACA took effect, but it is unclear if this pattern is unique to Latinos or is evident among non-Latinos as well. I use data from the 2011 to 2016 waves of the National Health Interview Survey (NHIS) (n = 369,386) to test how the relationship between citizenship status (native citizen, naturalized citizen, or noncitizen) and insurance coverage changed after the ACA, adjusting for health, demographic, and socioeconomic factors. I disaggregate the analysis by ethnicity to test whether this change differs between Latinos and non-Latinos. The analysis finds that after the ACA, naturalized citizens across ethnic groups moved toward parity with native citizens in health insurance coverage while the benefits of the ACA for noncitizens were conditional on ethnicity. For non-Latinos, lacking citizenship became less disadvantageous for predicting insurance coverage while for Latinos, lacking citizenship became even more disadvantageous in predicting insurance coverage. This bifurcation among noncitizens by ethnicity implies that while the ACA has strengthened institutional boundaries between citizens and noncitizens, this distinction is primarily affecting Latinos. The conclusion offers considerations on how legal systems of stratification influence population health processes.

Purpose – To examine the effects of health insurance types on the use of prescribed medication that treat patients with hypertension, diabetes, and asthma. The study distinguishes between individuals with private health maintenance organization (HMO) plans and private non-HMO plans. The study also distinguishes between people with health insurance and drug coverage and people with health insurance and no drug coverage.

Methods – Joint discrete factor models are estimated to control for endogeneity of each type of coverage.

Findings – The main findings suggest that the effect of health insurance varies across patients with different conditions. The strongest and most significant effect is evident among patients with hypertension while the weakest and least significant is among patients with asthma. These findings suggest that patients with asymptomatic conditions are more likely to exhibit moral hazard than patients with conditions that impose immediate impairment. Additional results suggest that, relative to the uninsured and people with health insurance but no drug coverage, patients with drug coverage are more likely to initiate drug therapy and to consume more medications.

Originality – The results of the study indicate that moral hazard of drug utilization is condition specific. The variation in “silence” of conditions’ symptoms could be a key reason for difference in insurance effects among patients with hypertension, diabetes, and asthma.

This chapter summarizes the major determinants of health insurance coverage rates among young adults. Socioeconomic status, demographics, actual and perceived health status, perceived value, and perceived need are all examined in order to determine what the literature reveals regarding each variable and how each variable impacts a young adult's decision to purchase health insurance. Results indicate that socioeconomic status, demographics, perceived value, and perceived need were the most significant determinates of health insurance status of young adults. A conceptual framework is also examined and used to illustrate theoretical implications. Managerial implications for marketing health plans to young adults are also addressed. Finally, policy implications concerning the new Patient Protection and Affordable Care Act are addressed.