Multivariate rank tests for the two-sample location problem

A multivariate affinc-invariant family of rank tests is proposed for the two sample location problem. The class of statistics introduced is built upon Randles' multivariate one-sample sign statistic based on interdirections and the multivariate one-sample signed-rank statistic of Peters and Randles. Asymptotic relative efficiencies are obtained which indicate that selected members of the class perform very well for a broad class of distributions. Further comparisons are made among several statistics using Monte Carlo results.     

Which Factor has More Impact? An Examination of the Effects of Income Level, Perceived Neighborhood Disorder, and Crime on Community Care and Vigilance Among Low-Income African American Residents

This study investigated predictors of community care and vigilance among 70 African American residents living in high-crime, low-income neighborhoods. A stratified random sampling procedure was employed to select residents who completed a 20-item questionnaire assessing their sense of community care and vigilance and perceptions of perceived neighborhood physical and social disorder. We used police crime reports to assess the levels of property and violent offenses in the targeted neighborhoods. Our goal was to determine which of these variables best predicted community care and vigilance. The results of this study showed that social disorder and violent offenses negatively predicted community care and vigilance. Interestingly, the results also indicated that residents who reported the lowest income expressed the highest levels of community care and vigilance. Implications for community practice are discussed.     

Child Spacing in the Philippines: The Effect of Current Characteristics and Rural Development

In this study the effects of characteristics current at the beginning of the birth interval on the time elapsing before the next birth are examined. The child-spacing process is viewed as affected by time-varying and fixed characteristics of the community, household, and individual. In the model on which the empirical research is based sociological and economic antecedents are used. The study is based on data from two panels of the Bicol Multipurpose Survey collected in 1978 and 1983. These furnish detailed histories of pregnancy and contraception, together with an extensive set of socio-economic data. Detailed information on services and facilities available in each of the 100 sample communities is also available. Because of the large rural development programme introduced in various sub-areas of the Bicol region, substantial changes in the rural infrastructure and in availability of health and family planning facilities and services occurred between 1976 and 1980, the period on which the analysis is focused. Our results clearly show that current characteristics at the individual, household, and community levels have significant and interpretable effects on the lengths of birth intervals.     

Determinants of Korean Birth Intervals: The Confrontation of Theory and Data

In this analysis, data from the Korean National Fertility Survey of 1974 are used to seek to explain differences in the pace of fertility in terms of differences in contraception, breastfeeding and other intermediate variables. Strong effects are found for these variables, particularly contraception. Nonetheless, virtually none of the effects of the socio-economic variables can be explained in our full model. Overall, our first models, which included only the socio-economic variables, contained 44 significant coefficients. With the introduction of the intermediate variables, only eleven of these coefficients became non-significant (while six others became significant). Thus, though using excellent data, we cannot begin to reproduce what theory predicts. The analysis suggests that this is a consequence of both measurement error and omitted intermediate variables, such as coital frequency. There are strong theoretical reasons for attempting to elucidate the mediating role of proximate variables by using individual data. Nonetheless, these findings, together with similar results obtained by others, strongly suggest that this is not likely to be a fruitful line of future endeavour.     

The Protective Action Decision Model: Theoretical Modifications and Additional Evidence

The Protective Action Decision Model (PADM) is a multistage model that is based on findings from research on people's responses to environmental hazards and disasters. The PADM integrates the processing of information derived from social and environmental cues with messages that social sources transmit through communication channels to those at risk. The PADM identifies three critical predecision processes (reception, attention, and comprehension of warnings or exposure, attention, and interpretation of environmental/social cues)—that precede all further processing. The revised model identifies three core perceptions—threat perceptions, protective action perceptions, and stakeholder perceptions—that form the basis for decisions about how to respond to an imminent or long‐term threat. The outcome of the protective action decision‐making process, together with situational facilitators and impediments, produces a behavioral response. In addition to describing the revised model and the research on which it is based, this article describes three applications (development of risk communication programs, evacuation modeling, and adoption of long‐term hazard adjustments) and identifies some of the research needed to address unresolved issues.     

THE BASIC PUBLIC FINANCE OF PUBLIC–PRIVATE PARTNERSHIPS

Public–private partnerships (PPPs) have been justified because they release public funds or save on distortionary taxes. However, the resources saved by a government that does not finance the upfront investment are offset by giving up future revenue flows to the concessionaire. If a PPP can be justified on efficiency grounds, the PPP contract that optimally balances demand risk, user‐fee distortions, and the opportunity cost of public funds has a minimum revenue guarantee and a revenue cap. The optimal contract can be implemented via a competitive auction with reasonable informational requirements. The optimal revenue guarantees, revenue sharing agreements, and auction mechanisms are different from those observed in the real world. In particular, the optimal contract duration is shorter in demand states where the revenue cap binds. These results also have implications for budgetary accounting of PPPs, as they show that their fiscal impact resembles that of public provision, rather than privatization.     

Lack of fit tests based on sums of ordered residuals for linear models

Christensen & Lin ( 2015 ) suggested two lack of fit tests to assess the adequacy of a linear model based on partial sums of residuals. In particular, their tests evaluated the adequacy of the mean function. Their tests relied on asymptotic results without requiring small sample normality. We propose four new tests, find their asymptotic distributions, and propose an alternative simulation method for defining tests that is remarkably robust to the distribution of the errors. To assess their strengths and weaknesses, the Christensen & Lin ( 2015 ) tests and the new tests were compared in different scenarios by simulation. In particular, the new tests include two based on partial sums of absolute residuals. Previous partial sums of residuals tests have used signed residuals whose values when summed can cancel each other out. The use of absolute residuals requires small sample normality, but allows detection of lack of fit that was previously not possible with partial sums of residuals.