A CLASS OF PERFORMANCE‐BASED SUBSIDY RULES*

We consider a benchmark static incentive scheme, i.e. a per unit subsidy, that induces a monopoly to produce a target output level. We show that the same output level can be achieved by a continuum of dynamic subsidy rules based on a performance indicator. The rules require only local information. The present value of the subsidies paid is smaller than the amount paid under the static subsidy. Each of the dynamic subsidy rules results at each moment in a lower per unit subsidy than the static subsidy. The subsidy rate depends on a state variable that reflects the monopolist's performance history.     

Health and Mortality Delta: Assessing the Welfare Cost of Household Insurance Choice

We develop a pair of risk measures, health and mortality delta, for the universe of life and health insurance products. A life‐cycle model of insurance choice simplifies to replicating the optimal health and mortality delta through a portfolio of insurance products. We estimate the model to explain the observed variation in health and mortality delta implied by the ownership of life insurance, annuities including private pensions, and long‐term care insurance in the Health and Retirement Study. For the median household aged 51 to 57, the lifetime welfare cost of market incompleteness and suboptimal choice is 3.2% of total wealth.     

AN APPLICATION OF SEQUENTIAL REGRESSION MULTIPLE IMPUTATION ON PANEL DATA

The relatively new sequential regression multiple imputation (SRMI) method is introduced, with the process of SRMI laid out in detail. The Project for Statistics on Living Standards and Development and the follow‐up KwaZulu‐Natal Income Dynamics Study provide the real panel data on which the methods reviewed are applied. The SRMI process is used to create multiple datasets completed with values imputed for data originally missing, and using the error component model estimation procedures and Rubin's rules, inferences on the panel data are made. Conclusions are drawn as to the applicability of the SRMI process to these data and as to the results of the regression analyses completed.     

How Does the Stock Market View Bank Regulatory Capital Forbearance Policies?

During the subprime crisis, the Federal Deposit Insurance Corporation (FDIC) has shown, once again, laxity in resolving and closing insolvent institutions. Ronn and Verma (1986) call the tolerance level below which a bank closure is triggered the regulatory policy parameter. We derive a model in which we make this parameter stochastic and bank specific to infer the stock market view of the regulatory capital forbearance value. For 565 U.S. listed banks during 1990 to 2012, the countercyclical forbearance fraction in capital, most substantial in recessions, could represent 17%, on average, of the market valuation of bank equity and could go as high as 100%.     

Marriage seasonality and the industrious revolution: southern Sweden, 1690–18951

In this article we study the evolution of marriage seasonality in relation to economic change, particularly connected to changes in labour supply and work intensity of the kind implied by the ‘industrious revolution’. The focus is on southern Sweden in 1685–1894, which was a period of agricultural transformation and early industrialization, when we would expect to see an increase in work intensity. The analysis is based on about 120,000 marriages from 117 different parishes. The analysis shows that the seasonality of marriage changed dramatically over time, from a classic grain production pattern, with a marriage peak in late spring and a marriage trough at harvest time, to a much more even seasonality, although with the appearance of a very strong peak in December. This change affected rural rather than urban areas, and was present regardless of differences in institutional settings, and for almost all occupational groups below the elite. The changed seasonality pattern is consistent with increasing work intensity over the year, leaving only the weeks around Christmas as a low season. In addition to the increase in work intensity, the privatization of marriage and the availability of time and resources were also important factors in the changing seasonality pattern.