An adaptive approach to Langevin MCMC

We consider a class of adaptive MCMC algorithms using a Langevin-type proposal density. We state and prove regularity conditions for the convergence of these algorithms. In addition to these theoretical results we introduce a number of methodological innovations that can be applied much more generally. We assess the performance of these algorithms with simulation studies, including an example of the statistical analysis of a point process driven by a latent log-Gaussian Cox process.     

Scholarly Productivity of Social Work Faculty at Historically Black Colleges and Universities: Are h-Index Scores a Suitable Measure?

Faculty scholarship at historically Black colleges and universities (HBCU) has in the past served as a blueprint for the Black masses. Even today, HBCU faculty scholarship continues to be an informative source to communicate accurate information regarding marginalized groups. This study examines h-index scores of 65 faculty members at five doctorate-granting schools of social work. The majority of calculated h-index scores were considered to be low in terms of productivity. We make the argument that these scores are not a good measure of productivity because of the problematic nature of their use to evaluate HBCU faculty. Implications for future research, practice, and teaching are presented.     

Building cultural intelligence: insights from project management job advertisements

This paper examines how organisations that conduct worldwide recruitment of project management professionals can derive insight from the cultural preferences stated within project management job advertisements. Drawing on project management practitioner job advertisements placed by 2040 organisations across seven countries and seven industries, we employ Hofstede’s national cultural framework to categorise cultural preferences which the organisations persistently replicate in their specifications of desired candidate project management practitioner competency. To map global trends and national variations, data analysis is undertaking and utilising exploratory data analysis, Poisson regression and negative binomial regression are used. The paper finds that specific national cultural dimensions – ‘Collectivism’, ‘Uncertainty Avoidance’ and, to a lesser extent, ‘Power Distance’ – are the most salient cultural denominators for advertised project management positions, while this is not the case with ‘Masculinity’ and ‘Individualism’. The findings raise issues about which organisations should seek to become more culturally intelligent, and which relate to the adaptiveness of the cultural preferences that they articulate through their job advertisements, both to project tasks and to cultural contexts for projects.     

State Abortion Policy and Unintended Birth Rates in the United States

In this paper, we put forth the view that the potential for urbanization economies increases with interaction opportunities. From that premise follow three fundamental properties that an agglomeration index should possess: (1) to increase with the concentration of population and conform to the Pigou–Dalton transfer principle; (2) to increase with the absolute size of constituent population interaction zones; and (3) to be consistent in aggregation. Limiting our attention to pairwise interactions, and invoking the space-analytic foundations of local labor market area (LLMA) delineation, we develop an index of agglomeration based on the number of interaction opportunities per capita in a geographical area. This leads to Arriaga’s mean city-population size, which is the mathematical expectation of the size of the LLMA in which a randomly chosen individual lives. The index has other important properties. It does not require an arbitrary population threshold to separate urban from non-urban areas. It is easily adapted to situations where an LLMA lies partly outside the geographical area for which agglomeration is measured. Finally, it can be satisfactorily approximated when data is truncated or aggregated into size-classes. We apply the index to the Spanish NUTS III regions, and evaluate its performance by examining its correlation with the location quotients of several knowledge intensive business services known to be highly sensitive to urbanization economies. The Arriaga index’s correlations are clearly stronger than those of either the classical degree of urbanization or the Hirshman–Herfindahl concentration index.     

Identity Politics Among Arab‐American Women*

Objective. Identity politics has dominated contemporary analyses of protest movements. Although multiple identities are commonplace, progress in delineating their empirical relationship has been slow. This article examines the relationships among ethnic and religious identities and feminist orientations among Arab‐American women, a group that bridges multiple cultural identities. The primary research question is whether ethnic and religious identities undermine feminism in this population or whether multiple identities are mutually supportive. Methods. Using data from a national mail survey of Arab‐American women, regression analyses examine the separate effects of various dimensions of ethnic and religious identity on women's feminist orientations. Results. Arab political identity is positively associated with feminism while religious and feminist identities are inversely related. The effects of ethnic cultural identity and Muslim affiliation are negligible. Conclusions. This study finds a complex pattern of relationships among multiple identities and underscores the underlying political dynamic linking group identities.     

Welfare analysis under uncertainty

This article extends Bergsonian welfare analysis to an environment of uncertainty where preferences are not expected utility and may even be state-inconsistent. Given state-inconsistent preferences, the familiar notion of ex ante efficiency is also state-inconsistent. Other efficiency and welfare concepts achieve state consistency by ignoring entirely the prospective preferences of consumers. The framework developed in this article allows welfare judgments to be state-consistent while respecting prospective and conditional preferences. The theory is called inclusive welfare. An application to optimum insurance subsidies illustrates the practical use of the concept.     

Price,Restrictions and Abortion Demand

This study uses pooled time-series data to estimate the effects of various restrictive abortion laws on the demand for abortion. This study differs from prior pooled time-series cross-section research in that it explicitly includes the price of an abortion in the abortion demand equation. State Medicaid funding is found to increase the abortion demand of women of childbearing age; while the price of an abortion, parental involvement, parental consent, and parental notification laws all have a negative effect on the demand for abortions. State mandatory waiting periods have no statistically significant impact on abortion demand. The empirical results remain robust for the abortion demand of teen minors.     

Hardship Among Older Adults in the HRS: Exploring Measurement Differences Across Socio-Demographic Characteristics

Measures of hardship have been proffered as better indicators of economic well-being than traditional measures of socioeconomic status (SES). However, there is a dearth of research on latent factor structures and measurement bias in items assessing hardship across socio-demographic characteristics, especially among older adults. As such, the purpose of this study was to determine the factor structure of items measuring hardship in the Health and Retirement Study (HRS) and to determine measurement bias across socio-demographic groups (i.e., race/ethnicity, gender, and age). The participants were HRS subjects who completed an additional psychosocial survey (N = 3074). The results revealed a single latent factor for hardship (comparative fit index = 0.99, root mean square error of approximation = 0.02) using confirmatory factor analysis on eight items in the HRS. The multiple indicator, multiple causes (MIMIC) model was used to determine measurement bias in the items due to socio-demographic characteristics. Compared to white respondents, black respondents were more likely to endorse items of financial dissatisfaction (Odds Ratio (OR) = 2.19, 95 % Confidence Interval (CI) = 1.43, 3.35), while Latino respondents were more likely to endorse food insecurity (OR = 2.78, 95 % CI = 1.60, 4.83); and older individuals (age 65 and older) were less likely to endorse having moved to a worse residence/neighborhood (OR = 0.32, CI = 0.18, 0.57) and being unemployed (OR = 0.28, CI = 0.20, 0.38). These results indicate that there is differential item functioning for specific measures of hardship suggesting that there are differences observed for the measurement of hardship for these items across racial/ethnic and age groups.