Employment motivations of farm spouses

In the study reported here, reasons for working off the farm and reasons for not working off the farm are examined as a function of gender and socioeconomic characteristics. Women are significantly less likely than men to work off the farm to supplement farm income, and significantly more likely to work off the farm for personal reasons. A logistic regression analysis finds that men, those employed fulltime off the farm, and those with lower household incomes are most likely to cite economic reasons for working off the farm. Men are nearly twice as likely as women to cite time constraints as the primary reason for not working off the farm, while only women cite family responsibilities. Logistic regression reveals that men, those with higher household incomes, and those with livestock operations are most likely to cite lack of time as the primary reason for not working off the farm.Patricia J. Wozniak is Associate Professor in the Department of Experimental Statistics, Louisiana State University, Baton Rouge, LA 70803. Her research interests include family life and family economics, as well as the application of statistics to the social sciences. She received her Ph.D. in Psychology from the University of Wisconsin—Milwaukee.Kathleen K. Scholl is Senior Coordinator of the Economics Team of the Public Policy Institute at the American Association of Retired Persons, 1909 K Street NW, Washington, DC 20049. She received her Ph.D. from Purdue University.     

Robust methods for generalized linear models with nonignorable missing covariates

The EM algorithm is often used for finding the maximum likelihood estimates in generalized linear models with incomplete data. In this article, the author presents a robust method in the framework of the maximum likelihood estimation for fitting generalized linear models when nonignorable covariates are missing. His robust approach is useful for downweighting any influential observations when estimating the model parameters. To avoid computational problems involving irreducibly high‐dimensional integrals, he adopts a Metropolis‐Hastings algorithm based on a Markov chain sampling method. He carries out simulations to investigate the behaviour of the robust estimates in the presence of outliers and missing covariates; furthermore, he compares these estimates to the classical maximum likelihood estimates. Finally, he illustrates his approach using data on the occurrence of delirium in patients operated on for abdominal aortic aneurysm.     

Laplace-normal mixtures fitted to wind shear data

A mixture model with Laplace and normal components is fitted to wind shear data available in grouped form. A set of equations is presented for iteratively estimating the parameters of the model using an application of the EM algorithm. Twenty-four sets of data are examined with this technique, and the model is found to give a good fit to the data. Some hypotheses about the parameters in the model are discussed in light of the estimates obtained.     

Patient violence. Report of 200 incidents

Studies of assaultive behavior in hospital settings are increasing. Results are often contradictory. These variances are dependent upon the type of hospital, the specific setting, and the disciplines involved in the reporting process. Open recognition that violent incidents occur, and the substitution of fact finding for finger pointing, are the first steps toward prevention and management.     

The value of green belt land

This paper estimates the value of green belt land by assessing its output: agricultural; amenity; recreational; and savings in costs, by restricting the size of urban areas. These outputs are valued in social terms by the application of welfare economics. Some types of agriculture are shown to impose net social cost rather than benefits. Hedonic price models and contingent valuation are used to assess amenity benefits which are revealed as the most important justification for green belts. These benefits are set against the opportunity cost of the land in terms of foregone housing and industrial development. Uncertainty and irreversibility of a land-use change, from green belt, suggests that the benefits of housing or industry should substantially exceed the value of green belt land before a land-use change is sanctioned.     

Estate Inheritance: A Sociological Lacuna*

Estate inheritance, a frequently mentioned but rarely examined feature of stratification systems, has been a neglected area of research in sociology. In this paper, several possible causes of the sociological neglect are discussed. The treatment of inheritance patterns in functionalist and conflict theories of stratification is analyzed, and an overview of existing research on inheritance is presented. Finally, a conflict theory of stratification that incorporates the phenomenon of inheritance is proposed, and avenues for further research are suggested.