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The purpose of this paper is to identify the driving forces that influence family Takaful demand in Malaysia. The paper examines various identified and available economics and socio‐demographic variables.

Using ordinary least square (OLS) and generalised method of moments (GMM) techniques, the paper investigates the significance of the identified economic and socio‐demographic factors in determining the consumption of family Takaful. The paper first examines a full model that combines all variables; second, a model that controls for product market factors; and finally, a model that controls for socio‐demographic factors. Following Anderson and Nevin, Haberman, Lenten and Rulli and Josa the paper further separates all models into linear and log‐linear demand functions.

The paper demonstrates that income, Islamic banking development, education, dependency ratio and Muslim population factors are positively related to Takaful demand. On the other hand, inflation, real interest rate, financial development and life expectancy appear to be the significant factors that adversely influence the total family Takaful consumption.

The major limitation of this paper is the small sample size. Therefore, future studies may expand the variables omitted in this study due to unavailability of data, which may be influential in explaining the family Takaful demand in Malaysia. Possible influential variables may include government social security expenditure, price of Takaful and level of competition within the Takaful and insurance industry. Research should also be conducted on the impact of the legal system and government policies on the demand for family Takaful in the country. Finally, the study focuses solely on the determinants of demand for family Takaful. Nevertheless, the supply‐side of the equation should not be neglected and should be incorporated in future studies.

It is obvious that there are very few studies that focus on the Malaysian market and indeed, none of them gives attention to the factors that influence demand for family Takaful. In this regard, this study contributes in filling the gaps in the scope and coverage of studies in similar area. While this study is expected to provide more understanding and awareness on the concept of Takaful and the factors that influence its demand, the authors hope that it would encourage more studies on various issues on the Takaful industry so as to help researchers to understand more aspects of this new emerging business.

The purpose of this paper is to investigate the driving forces (economics and socio-demographic) that influence family Takaful demand in the Middle East and North Africa (MENA) region, using a sample of 15 countries from the MENA.

The authors use multivariate analysis, bootstrapping and generalised method of moments techniques. They first examine a full model that combines all variables; second, a model that controls for product market factors; and finally, a model that controls for socio-demographic factors. They further separate all models into linear and log-linear demand functions.

The authors demonstrate that the relationship between the demand for family Takaful in MENA and Islamic banking deposits, education, dependency rate, female life expectancy and Muslim population is significantly positive. On the other hand, the significant factors that are inversely related to the demand for family Takaful in MENA are inflation, financial development and male life expectancy.

The crucial limitation of this study is the amount of data available in regards to the dependent variable, family Takaful contributions. Consequently, to improve the understanding in explaining the family Takaful demand in MENA, further research can take advantage of expanding the variables that were omitted in this research as a consequence of the unavailability of data. Some of the possible influential variables can include government social security expenditure, legal system and government policies, price of Takaful and level of competition within the Takaful and insurance industry.

It is obvious that there are very few studies that focus on the MENA market, and indeed, none of them gives attention to the factors that influence demand for family Takaful. While this study is expected to provide more understanding and awareness on the concept of Takaful and the factors that influence its demand, the authors hope that it would encourage more studies on various issues on the Takaful industry so as to help researchers to understand more aspects of this new emerging business.

This paper aims to investigate the problem of searching for the equilibrium in the housing market, the mortgage lending market and the insurance market in the process of selling the residential property. Three classes of markets are established in three modes, which reflect the interdependence of the firms’ interests in these markets through the parameters of their integration. The paper aims to determine the prices in these markets on the basis of the compromises among the conflicting interests of the related firms, and, in addition, to assess the rationality of integration for firms, which are participants in the process of selling the residential property.

On the basis of the revenue sharing contracts and the supply chain coordination methods, the optimization models of the housing realtor, the mortgage bank and the insurance company are developed. The models consider the interdependence of the firms’ interests, the monopolistic competition in these markets and the conditions of the firms’ individual rationality in the interaction process.

The results of the study are as follows. First, as a consequence of a decrease in the demand curves in monopolistic competition, the housing market, the mortgage market and the insurance market are interconnected, therefore, the optimization models of the firms in these markets are interdependent through the revenue sharing parameters. Second, in these markets the individual firms’ sales optimums are not identical, therefore, the interests of the firms are contradictory. Third, in the realtor-bank-insurer system, the equilibrium satisfies the condition of zero revenue sharing payments between the agents; additionally, the equilibrium prices in these markets are mutually independent. Fourth, in the disequilibrium, the prices in these markets are interrelated, i.e. the price in one market increases with the price in another market, if the payment is directed from the former to the latter, and vice versa.

The results of the study are applicable in practice, if the markets demonstrate the decreasing demand curves and if the needs of buyers in related markets are interconnected.

The interaction between the realtor and the mortgage bank enables the realtor to raise its sales and the bank to increase in the number of loans, i.e. it leads to growth of their profits. The interaction between the insurer and the mortgage bank enables the insurer to increase in the number of policies and the bank to reduce the risk of lending, i.e. it leads to an increase in their profits. The identification of the individual firms’ sales optimums enables agents to determine the terms of the contracts of these interactions, which are compromises from the positions of each transaction participants. In addition, the firms’ optimums indicate the predictions of the equilibrium market prices.

In comparison with the studies in the contract theory framework, first, the mathematical description of the complicated (three-agent) system of interactions is proposed; second, the optimal choice non-linear models are developed, which take into account the non-linear demand functions in the monopolistic competition markets; third, the equilibrium of the agents with contradictory interests is investigated. In the later item, the authors establish that the revenue sharing contracts in the complimentary demands functions systems do not require the payments between the participants. Fourth, the authors prove that, in the equilibrium of these markets, the housing prices, the mortgage interest rates and the insurance rates are mutually independent and equal to the prices in the isolated markets.

This study investigates insurance demand in a two-period model when a decision-maker (DM) is averse to the ambiguity of loss distributions. This study derives sufficient conditions such that the ambiguity-averse DM purchases more insurance than an ambiguity-neutral one when the DM maximises the expected utility. It also derives each sufficient condition to increase insurance demand as ambiguity aversion, ambiguity and downside ambiguity increase, respectively.

This paper analyses the relationship between financial sector development (FSD) and life insurance inclusion in India during the period from 1971–1972 to 2016–2017. The study analyses the effect of financial deepening on life insurance inclusion in India.

The study employs augmented Dickey–Fuller (ADF) unit roots test to check the stationarity properties of the time series data. It estimates a life insurance inclusion model using the auto-regressive distributed lag model (ARDL) bounds testing approach to cointegration.

The study finds evidence of a cointegrating relationship between financial deepening and life insurance inclusion in India. A significant error correction coefficient indicates automatic adjustments to short-run disequilibrium, reinforcing the cointegrating relationship between financial sector and life insurance inclusion.

A major limitation of the study is that it excludes the first-time sum assured (FSA) contributed by the private sector life insurance companies due to lack of data availability.

The results of the study call for faster expansion of the financial sector and provision of a low interest rate regime in the Indian economy. The study invokes the need for sufficient training to the personnel in the banking and non-banking institutions to cater to the complex needs of life insurance buyers.

The paper estimates the link between FSD and life insurance inclusion and introduces a new measure of life insurance demand, the life insurance inclusion, measured using the FSA.

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.

Insurance and asset holdings are modeled as the jointly determined outcomes of a constrained optimization problem. Consequently, (1) full coverage may be optimal despite limited premium loading, (2) insurance is normal if insurable assets are normal, (3) insurance cannot be a Giffen good, and (4) insurance is a complement to price‐elastic assets.

This article aims to apply a multi‐period model of insurance market equilibrium to solve for the insureds' optimal demand for insurance, as well as insurers' optimal supply.

Most approaches to competitive equilibrium in the insurance market involve the construction of demand and supply curves based on maximizing the insureds' and insurers' expected utility for a single time period. However, it is important to recongnize that, for a given utility function, the demand (supply) decisions of insureds (insurers) in a single‐period model may differ substantially from those under a multi‐period formulation. In this article, first, separate multi‐period models of demand and supply are constructed, and then a dynamic solution for equilibrium price and quantity is provided.

Although a single‐period model generally requires the assumption of an exact loss distribution to compute expected utilities, the multi‐period model requires only the expected loss and its associated stochastic process (in this case, a Brownian motion). One implication of this approach is that it may explain phenomena of market prices failing to achieve Pareto optimality for a single period.

This approach may be used to generate new hypotheses related to the underwriting cycle. Specifically, the insureds' demand and insurers' supply decisions may both be based on expected discounted future cash flows. The non‐trivial multi‐period equilibrium insurance price may provide additional insights into the volatility of insurance market prices.

The purpose of this paper is to examine the effects of premium subsidies provided by the Brazilian government through the Rural Insurance Premium Subvention Program (PSR) on the quantity demanded for crop insurance by grains producers of southern Brazil.

A fixed effects model was applied to an unbalanced panel data of municipalities of southern Brazil considering the years between 2006 and 2015. Three measures of crop insurance demand were considered: level of total premiums, level of total premiums per hectare and level of total liability per hectare.

Results were in line with previous literature, suggesting the existence of a positive, although inelastic, effect of the subsidy level on the demand for crop insurance. However, unitary elasticity estimates were found for all grains when considered total premiums per hectare as crop insurance demand measure.

The investigation focuses on a crop insurance program conducted in a tropical developing country – a completely different background than previously analyzed in literature. In addition, Brazilian government considers the PSR as one of its most important agricultural programs and this paper is pioneer in empirically explain the huge public investments made to the PSR through the estimation of the effects of premium subsidies on the quantity demanded for crop insurance in Brazil.

The purpose of this paper is to analyze the macroeconomic determinants of life insurance demand in India. The recent decline in life insurance activity calls for a study on the factors influencing life insurance demand in India.

This study employs econometric techniques like augmented Dickey-Fuller test, Johansen cointegration test, vector error correction models and the Granger causality test to estimate the macroeconomic predictors of life insurance demand in India, during the period 1980-1981 to 2013-2014.

Financial sector development and inflation positively influence life insurance demand in India. The real rate of interest and income are negatively related to life insurance consumption. The study finds an insignificant relation between the level of social security expenditure and life insurance buying. Financial sector development is found to Granger-cause life insurance demand.

Product-wise analysis of life insurance demand is not attempted due to lack of unit-level data. The impact of regulatory changes on life insurance demand in India is not attempted.

Intervention by the policy makers is required to arrest the decline of life insurance activity in India. Efforts are required to widen the financial sector of the Indian economy to accelerate the growth of life insurance activity.

The paper introduces a new measure of life insurance demand, the total regular new business premium, in the estimation of life insurance demand determination.