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This paper first reviews the history of social insurance policy and coverage in urban China, documenting the evolution in the coverage of pensions, medical and unemployment insurance for both local residents and migrants, and highlighting obstacles to expanding coverage. The paper then uses two waves of the China Urban Labor Survey, conducted in 2005 and 2010, to examine the correlates of social insurance participation before and after implementation of the 2008 Labor Contract Law. A higher labor tax wedge is associated with a lower probability that local employed residents participate in social insurance programs, but is not associated with participation of wage-earning migrants, who are more likely to be dissuaded by fragmentation of the social insurance system. The existing gender gap in social insurance coverage is explained by differences in coverage across industrial sectors and firm ownership classes in which men and women work.

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.

Most women seeking abortion pay out-of-pocket for care, partly due to legal restrictions on insurance coverage. These costs can constitute a hardship for many women. Advocates have sought to ensure insurance coverage for abortion, but we do not know whether the intermediaries between policy and patient – abortion-providing facilities – are able and willing to accept insurance.

We interviewed 22 abortion facility administrators, representing 64 clinical sites in 21 states that varied in their legal allowance of public and private insurance coverage for abortion, about their facility’s insurance practices, and experiences.

Respondents described challenges in accepting public and/or private insurance that included, but were not limited to, legal regulations. When public insurance broadly covered abortion, its low reimbursement failed to cover the costs of care. Because of the predominance of low income patients in abortion care, this caused financial challenges for facilities, leading one in a state that allows broad coverage to nonetheless decline public insurance. Accepting private insurance carried its own risks, including nonpayment because costs fell within patients’ deductibles. Respondents described work-arounds to protect their facility from nonpayment and enable patients to use their private insurance.

The structure of insurance and the population of abortion patients mean that changes at the political level may not translate into changes in individual women’s experience of paying for abortion.

This research illustrates how legal regulations, insurer practices, and the socioeconomics of the patient population matter for abortion-providing facilities’ decision-making about accepting insurance.

The purpose of this paper is to evaluate the risk management benefits provided by the supplemental coverage option (SCO) insurance plan which was created in the 2014 Farm Bill. Specifically, the marginal expected utility benefits are compared with the potential additional subsidy cost introduced by the new program for a stylized example of a corn producer.

The paper uses a stylized simulation model examines the preferred insurance program choice for a typical Midwestern corn farmer. The expected utility of the farmer is calculated under their preferred insurance program choice both with and without the availability of the SCO program, and compared to the case where crop insurance is not available. Scenarios are examined for a range of farmer risk aversion levels, different levels of correlation between farm-level and county-level corn yields, and case with and without insurance premium subsidies.

The SCO program is found to enter into the preferred insurance program choice for risk averse farmers. As risk aversion increases, farmers are estimated to prefer higher coverage levels for individual products along with SCO coverage. While the availability of existing crop insurance programs are shown to substantially increase the expected utility of farmers, the marginal impact of adding SCO to the crop insurance program is relatively small. Furthermore, the additional expected benefits generated by SCO are shown to include both risk management and expected return components. With subsidies removed, the estimated marginal benefits provided by SCO are reduced significantly.

The findings of this paper can help inform the policy debate for future farm bills as agricultural support programs continue to evolve. The results in this paper can also be used to help explain farm-level decision making related to crop insurance program choices.

This paper contributes to the literature by documenting a new, federally supported risk management programs made available to farmers in the 2014 Farm Bill and evaluates the marginal benefits the SCO program offers US crop producers.

The 11th September terrorist attacks on America continue to affect the corporate real estate industry, and this paper is intended to address a number of those ongoing effects. It first discusses property insurance coverage in general and then proceeds to analyse whether damage from acts of terrorism is covered under pre‐11th September and post‐11th September property insurance polices. It also addresses the current status of proposed US Government intervention as a terrorism insurance backstop. It then describes the strategies which certain clients located within the areas directly affected by the terrorist attacks implemented in order to be able to gain immediate access to alternative space. Finally it examines selected lease clauses to which landlords and tenants should pay closer attention in light of the terrorist attacks, including operating expense provisions, force majeure provisions, waiver of subrogation provisions, use prohibitions and alteration provisions.

The purpose of this paper is to use simulation analysis to assess farmer choice between crop insurance and supplemental revenue options as proposed during development of the Agricultural Act of 2014.

The certainty equivalent of wealth is used to rank farm choices and assess the effects of supplemental revenue options on the crop insurance plan and coverage level chosen by the producer under a range of farm attributes. The risk-reducing effectiveness of the select programs is also examined through their impact on the farm revenue distribution. The dependence structure of yield and prices is modeled by applying copula techniques on historical data.

Farm program supplemental revenue programs generally have no effect on crop insurance choices. Crop insurance supplemental revenue programs typically reduce crop insurance coverage at high coverage levels. An individual plan of crop insurance combined with a supplemental revenue insurance plan may substitute for incumbent area crop insurance plans.

The analysis provides insights into farmers’ possible choices by focussing on alternative crops and farm attributes and extensive scenarios, using current data, crop insurance plans and programs contained in the 2014 Farm Bill and related bills. The results should be of value to policy officials and producers in regards to the design and use of risk management tools.

The purpose of this paper is to study the optimal coverage limit in a model of deposit insurance with capital requirements and risk sensitive premia to prevent moral hazard.

The theoretical model has incorporated capital requirements, risk‐sensitive premium, and partial deposit insurance in a partial equilibrium model. The model discusses the interaction among risk‐taking banks, ex‐ante heterogeneous depositors, and a deposit insurer.

First, the paper shows that optimal coverage encourages depositors' monitoring and withdrawals. Partial deposit insurance improves social welfare. Second, risk‐sensitive premia and market discipline are essential to reduce bank risk taking behavior. Third, adjustment between level of coverage and the premium guarantees long term liquidity of the deposit insurance funds and makes banks better off. Fourth, numerical findings are consistent with the empirical evidence that shows differences in coverage between countries.

Timing and frequency of adjustments to coverage limits and the implementation of co‐insurance have been beyond the scope of this study but those implications are worth further investigation.

In the current crisis, banking regulations combined with poor management and supervision have been responsible for banks' improper leverages, lending and securitization. A bank failure could easily turn into a crisis when the financial institution is overly exposed to credit risks and when the government is least equipped to deal with those risks. Thus, the study of the partial deposit insurance is important in achieving stability in the banking sector.

The paper aims to analyze the coverage of health insurance and its correlates in the north-eastern region of India.

The study accessed the raw data of the National Family Health Survey (NFHS-4) (2015–16), which was an extensive, multiround survey conducted in a representative sample of households throughout India, which included socioeconomic, demographic and information on coverage of health insurance of any member of the household. The multivariate analysis of logistic regression was adopted to find the correlates of health insurance for all the eight (8) north-eastern states of India.

The results observed that among the north-eastern states, the coverage of health insurance was highest in Arunachal Pradesh (59%) followed by Tripura (58%), Mizoram (47%) surpassing the all India level of 27%, whereas the lowest was in Manipur (4%) followed by Nagaland (6%) and Assam (10%). The multivariate analysis of logistic regression found that the socioeconomic and demographic factors, households with a bank account and below poverty line (BPL) cardholders played a significant role in the coverage of health insurance in the north-eastern states of India.

The study focuses only on the coverage and correlates of health insurance. Further evaluation studies on each scheme of the social health insurance are needed for proper assessment of the health insurance schemes in the region.

There has been evidence around the world (South Korea, Taiwan and Thailand) that health insurance could be a protective shield from the entrapment into poverty due to high health expenditure. The NFHS-4 put up the finding that in the north-eastern part of India, the coverage of health insurance had been low. This implied that the region could fall into poverty due to high medical expenses on health. Taking account of multiple health insurance providers, risk pooling and consolidation of health insurance providers have become the need of the hour.

The study is different from other studies of health insurance since it covered all the eight (8) north-eastern states of India, which are ethnically, culturally and historically distinct from the rest of India in general and within the region and states in particular and examines the impact of each of the independent variables with the dependent variables. The study has shown that the variation in health insurance coverage associated with socioeconomic and other household-level demographic attributes (although not very strong).

This paper examines the effect of overconfident yield forecasting (optimism bias) on crop insurance coverage level choices across both yield and revenue insurance.

This study simulates a representative producer’s preferred coverage level for both yield and revenue insurance under three potential models of decision-making and four potential manifestations of overconfident yield forecasting. The study then uses this framework to examine how coverage level choices change as overconfidence increases (decreases).

As overconfidence increases, producers prefer lower levels of crop insurance coverage than they would otherwise prefer, with extreme overconfidence inducing farmers to buy no insurance at all. While overconfidence affects cross-coverage demand for revenue and yield insurance similarly, this effect is more pronounced for yield insurance. Cross-coverage level demand for revenue insurance is relatively stable across changes in the correlation between prices and yields.

This research has important implications for crop insurance subsidy design and crop insurance demand modeling.

There is a growing body of literature suggesting that producers are overconfident with regard to their future yield risk and that this bias reduces their willingness to pay for risk management tools such as crop insurance. This is the first study to look at how such overconfidence affects cross-coverage level demand for crop insurance.

This study evaluates the impacts on gross revenue distributions of the use of alternative crop insurance products across different coverage levels and across locations with differing yield risks. Results are presented in terms of net costs, values‐at‐risk, and certainty equivalent returns associated with five types of multi‐peril crop insurance across different coverage levels. Findings show that the group policies often result in average payments exceeding their premium costs. Individual revenue products reduce risk in the tails more than group policies, but result in greater reductions in mean revenues. Rankings based on certainty equivalent returns and low frequency VaRs generally favor revenue products. As expected, crop insurance is associated with greater relative risk reduction in locations with greater underlying yield variability.