Disability Discourses for Online Identities

Beneficial effects of the online medium have been reported for disabled people in terms of providing a 'levelling ground' where they can be treated on their merits as a person, rather than as a disabled person. If this occurs because impairment is invisible online, how then are disabled people managing disability disclosure within this social context? This paper addresses this issue discursively. Participants were recruited from various disability organisations in New Zealand and were invited to take part in an online interview. A 'choice to disclose' repertoire was identified and was organised around three key resources: relevance, anonymity and normality. Embedded within each resource is the idea that the presence or absence of impairment is constructed as a feature controlled by the individual. Positioning identity within a subjectivity removed from impairment was made possible through these resources and was valued by participants. Political implications associated with the absence of impairment are discussed.     

Feminism,Abortion and Disability: Irreconcilable differences?

There has been considerable discussion of the political allegiance between the feminist and disability movements, but the question of abortion remains a thorny one. Disability rights advocates have been keen to demonstrate that it is possible to believe in a woman's right to sovereignty over the body and, yet, be opposed to the selective abortion of an impaired foetus--discribing the latter as a form of 'weak' eugenics. The aim of this paper is to show that, whilst there may be some points of agreement between the feminist and disability movements on the question of abortion, there exist fundamental and irreconcilable differences.     

A NONEQUILIBRIUM ANALYSIS OF UNANIMITY RULE, MAJORITY RULE, AND PARETO

It is widely held that in the absence of transaction costs unanimity rule is more effective at producing Pareto improvements and Pareto optimal outcomes than majority rule. We compare unanimity rule and majority rule in their ability to adhere to the Pareto criterion and to select Pareto-optimal alternatives using a single-dimensional spatial voting model without rational proposals. This produces two interesting results. First, if proposals are random, then majority rule is almost always more adept at selecting Pareto-optimal alternatives than unanimity rule. Second, if individuals propose their ideal points, then majority rule selects Pareto-optimal outcomes at least as well as unanimity rule. These results contrast with equilibrium analyses, which typically show that unanimity rule is the best voting procedure for maintaining Pareto optimality. (JEL D7 , C61 )     

Are we investing less in the next generation? Historical trends in time spent caring for children

Historical and current data sets are used to trace the time married women and men spend caring for their own children on a daily basis. The data are also used to estimate the total time parents spend in raising two children to the age of 18. The analysis is restricted to primary child care time; i.e., the actual, direct administration of personal care, including physical care (feeding, bathing, dressing, putting to bed) and such other direct personal care as teaching, chauffering, supervising, counseling, managing, training, amusing, and entertaining. Secondary parental child care time is not studied. Although white married women spent about. 56 hours per day per child in primary child care in the 1924–1931 period, by 1981, the time had decreased to about 1.00 hour per day per child. Married men spent 0.25 hours per day per child in 1975, the first year for which national data exists. By 1981, this figure had increased to 0.33 hours per day per child. Raising two children to age 18 required about 5,789 hours of a white, employed, married woman's time and 14,053 hours of a white, unemployed, married woman's time in 1981. Husbands of white, employed married women spent about 1,500 more hours in raising two children to age 18 than the husbands of white, unemployed married women.His research interests include the economics of family time use, household production, consumption, and demand.Her research interests include household production, family structure and family well-being, and family policy.     

Measuring Housework in Time Use Surveys

A methodology is devised to decompose the error in the measurement of housework time in surveys. Using data from the Panel Study of Income Dynamics (PSID) and the Americans' Use of Time Survey, we estimate that a telephone (mail) survey rather than an interview survey leads to a mean underestimation of 60 (30) min/week for women and 18 (13) min for men. We also find that the errors created by using a narrow definition of housework leads to an underestimation of between 10 and 12 h/week for both men and women in the PSID. An erratum to this article is available at .     

Properties of doubly-truncated gamma variables

The truncated gamma distribution has been widely studied, primarily in life-testing and reliability settings. Most work has assumed an upper bound on the support of the random variable, i.e. the space of the distribution is (0,u). We consider a doubly-truncated gamma random variable restricted by both a lower (l) and upper (u) truncation point, both of which are considered known. We provide simple forms for the density, cumulative distribution function (CDF), moment generating function, cumulant generating function, characteristic function, and moments. We extend the results to describe the density, CDF, and moments of a doubly-truncated noncentral chi-square variable.     

The estimation of gross flows in the presence of measurement error using auxiliary variables

Classification error can lead to substantial biases in the estimation of gross flows from longitudinal data. We propose a method to adjust flow estimates for bias, based on fitting separate multinomial logistic models to the classification error probabilities and the true state transition probabilities using values of auxiliary variables. Our approach has the advantages that it does not require external information on misclassification rates, it permits the identification of factors that are related to misclassification and true transitions and it does not assume independence between classification errors at successive points in time. Constraining the prediction of the stocks to agree with the observed stocks protects against model misspecification. We apply the approach to data on women from the Panel Study of Income Dynamics with three categories of labour force status. The model fitted is shown to have interpretable coefficient estimates and to provide a good fit. Simulation results indicate good performance of the model in predicting the true flows and robustness against departures from the model postulated.