Lifestyle Options and Economic Strategies: Subsistence Activities in the Mississippi Delta1

Abstract "Subsistence" and "informal economy" are contrasted in their utility as sociological concepts and their ability to explain a variety of activities in two rural Mississippi Delta communities. Literature on subsistence stresses that the desired outcome of participation is not an increase in income but the social rewards of participation itself. Two underlying dimensions of participation in these activities are documented through the literature and through a confirmatory factor analysis of empirical data: life-style choice and economic strategy. These were constructed into indexes and examined individually and in combination as dependent variables using regressors at the community, household, and individual levels. Community ties were weakly associated with participation in such activities. Whites and those with higher incomes participated more in lifestyle choice oriented activities. Participation in general was statistically related to households needing less weekly income and being of larger size. Potential connections with persistent rural poverty are discussed.     

An innovative approach to selecting an executive director

As a guide for how to select a new executive director, a family agency adopted the search committee process from higher education. The approach included clarifying agency goals and the director's qualifications, a board-staff screening, and interviews held jointly with public representatives before final board selection.     

Forecasting on British election night 1997

An account is given of methods used to predict the outcome of the 1997 general election from early declared results, for use by the British Broadcasting Corporation (BBC) in its election night television and radio coverage. Particular features of the 1997 election include extensive changes to constituency boundaries, simultaneous local elections in many districts and strong tactical voting. A new technique is developed, designed to eliminate systematic sources of bias such as differential refusal, for incorporating prior information from the BBC's exit poll. The sequence of forecasts generated on election night is displayed, with commentary.     

A methodological strategy for a one-number census in the UK

As a result of lessons learnt from the 1991 census, a research programme was set up to seek improvements in census methodology. Underenumeration has been placed top of the agenda in this programme, and every effort is being made to achieve as high a coverage as possible in the 2001 census. In recognition, however, that 100% coverage will never be achieved, the one-number census (ONC) project was established to measure the degree of underenumeration in the 2001 census and, if possible, to adjust fully the outputs from the census for that undercount. A key component of this adjustment process is a census coverage survey (CCS). This paper presents an overview of the ONC project, focusing on the design and analysis methodology for the CCS. It also presents results that allow the reader to evaluate the robustness of this methodology.     

Beta-Bernstein Smoothing for Regression Curves with Compact Support

ABSTRACT. The problem of boundary bias is associated with kernel estimation for regression curves with compact support. This paper proposes a simple and uni(r)ed approach for remedying boundary bias in non-parametric regression, without dividing the compact support into interior and boundary areas and without applying explicitly different smoothing treatments separately. The approach uses the beta family of density functions as kernels. The shapes of the kernels vary according to the position where the curve estimate is made. Theyare symmetric at the middle of the support interval, and become more and more asymmetric nearer the boundary points. The kernels never put any weight outside the data support interval, and thus avoid boundary bias. The method is a generalization of classical Bernstein polynomials, one of the earliest methods of statistical smoothing. The proposed estimator has optimal mean integrated squared error at an order of magnitude n ^−4/5, equivalent to that of standard kernel estimators when the curve has an unbounded support.