Integrated methodology for multiple systems estimation and record linkage using a missing data formulation

There are now three essentially separate literatures on the topics of multiple systems estimation, record linkage, and missing data. But in practice the three are intimately intertwined. For example, record linkage involving multiple data sources for human populations is often carried out with the expressed goal of developing a merged database for multiple system estimation (MSE). Similarly, one way to view both the record linkage and MSE problems is as ones involving the estimation of missing data. This presentation highlights the technical nature of these interrelationships and provides a preliminary effort at their integration.     

Language roulette – the effect of random placement on refugees’ labour market integration

Placement of refugees and subsequent labour market integration within a host country represents a key challenge for policymakers and has emerged as one of the most divisive topics in the public debate. Immigration policy in Switzerland adopts random placement of asylum seekers across its different language regions. Hence, this policy allows to estimate the causal effect of language skills on employment chances, as refugees are exogenously placed across regions where the spoken language could either match or deviate from individual language skills. The results of this ‘natural experiment’ indicate substantially higher probabilities of finding employment when asylum seekers are placed in regions with a lingua franca that matches their individual language skills. Additionally, the findings suggest that language course participation can offset the reduced likelihood of employment in cases of a language mismatch. While random placement of refugees may be desirable for political reasons, it is detrimental to the economic integration process. Thereby, the study draws relevant conclusions for a larger European immigration policy.     

The Organizational Connection: Social Capital and the Career Expansion of Directors of Business Groups in Israel

This article studies which directors of the largest corporations forming part of the Israeli business groups accumulated directorships within the groups between the years 1974 and 1988. A comparison is made between directors within business groups who accumulate directorships and those who do not, and in addition, the research focuses on directors who joined additional boards, questioning who gets ahead in terms of three components of social capital: organizational positions, elite positions, and social networks. The study uses logistic regression to discern which variables increase the likelihood of being invited onto an additional board within the business groups and the likelihood of getting ahead. The findings strongly support the hypothesis that the organizational position of directors, more than their elite position ties and social networks, is the most significant determinant of who will join additional boards and who will get ahead. The article is concluded with a discussion of several factors contributing to relative impact of organizational positions.     

Social environments with competitive pressure: Gender effects in the decisions of German schoolchildren

Systematic differences in decision making between genders have been discovered in both competitive and pro-social environments. These contexts, however, have been previously studied in isolation while in naturally occurring settings pro-social and competitive pressures often overlap in economically meaningful ways. Here we report data from an experiment involving German schoolchildren where dictators are in one town and receivers in another. Our experiment informs decision making in social environments that include differing levels of competitive pressure. We find that competitive pressure significantly mitigates pro-sociality in boys, while it does not affect girls’ propensities to make fair decisions. This finding is robust to controlling for social and cognitive factors, and it may shed additional light on the evolutionary roots of human social preferences.     

Immigrant Gateways and Hispanic Migration to New Destinations1

Our understanding of the underlying demographic components of population change in new Hispanic destinations is limited. In this paper, we (1) compare Hispanic migration patterns in traditional settlement areas with new growth in emerging Hispanic destinations; (2) examine the role of immigration vis‐à‐vis domestic migration in spurring Hispanic population redistribution; and (3) document patterns of migrant selectivity, distinguishing between in‐migrants and non‐migrant Hispanics at both the origin and destination. We use several recent datasets, including the 1990 and 2000 Public Use Microdata Samples (which include new regional geocodes), and the 2005 and 2006 files of the American Community Survey. Our results document the widespread dispersion of the Hispanic population over the 1990–2006 period from established Hispanic gateways into new Hispanic areas and other parts of the country. Nearly one‐half of Hispanic net migration in new destinations comes from domestic gains. In contrast, both established and other Hispanic areas depend entirely on immigration, with each losing domestic migrants to high growth areas. Migrant flows also are highly differentiated by education, citizenship, and nativity. To fully understand the spatial diffusion of Hispanics requires a new appreciation of the complex interplay among immigration, internal domestic migration, and fertility.     

Using GIS in community design charrettes: Lessons from a Japan–U.S. collaboration in earthquake recovery and mitigation planning for Kobe

Charrettes have become popular in the urban design field, especially for use among multidisciplinary teams of professionals and non-professional community stakeholders seeking to incorporate a rich array of expertise in short visioning activities. Geographic Information Systems are among the technologies with potential to provide sophisticated spatial information to charrette participants efficiently. This article reports on a charrette carried out jointly by teams from Kobe University and the University of Washington, Seattle, USA, using GIS to inform urban design in three neighborhoods affected by the Great Hanshin–Awaji Earthquake of 1995 in Kobe, Japan. The article describes the charrette itself, and discusses the utility of GIS, given the challenges of disaster recovery in a context of undeveloped institutions for public participation, and with participants of different linguistic and educational backgrounds. In combination with electronically storable drawing technology, GIS proved useful in enlarging the multidisciplinary and cross-cultural reach of urban design; in incorporating new layers of pre-prepared expert data, and in combining such data with dynamically-generated “advice maps” and design ideas. For GIS-based charrettes to become more widely useful in community-scale design in Japan, however, additional property-scale data need to be available.     

The effects of direct experience on consumer product evaluation

The effects of different sales strategies on consumer product evaluation were investigated. It was expected that direct product experience could decrease economic product valuation. Experiments 1 and 2 studied the effects of product trials and money-back guarantees on consumer willingness to pay (WTP). It appeared that WTP was significantly lower after a product trial than with a money-back guarantee or normal sale. In Experiment 3 a structural equation model showed that product trials had a positive effect on attitude toward the product. Also, a negative effect on WTP was found when the effect was measured directly, but a positive effect when the effect was measured indirectly (through attitude).     

Assessing the Gender Invariance of the Modern Homonegativity Scale

The measurement invariance of the Modern Homonegativity Scale (MHS) was examined among heterosexual female (n = 449) and male (n = 329) university students who were predominantly Mexican American. The MHS demonstrated full invariance of factor loadings and partial invariance of latent intercepts. At the latent mean level, heterosexual men compared to heterosexual women held more negative attitudes toward both gay men and lesbian women. There were no latent mean differences in attitudes toward gay men and lesbian women when rated by either heterosexual men or heterosexual women. The MHS can be used by heterosexual men and heterosexual women to assess their homonegativity.     

Machine Learning for Drug Overdose Surveillance

ABSTRACT

We describe two recently proposed machine learning approaches for discovering emerging trends in fatal accidental drug overdoses. The Gaussian Process Subset Scan (Herlands, McFowland, Wilson, & Neill, 2017 Neill, D. B. (2017). Multidimensional tensor scan for drug overdose surveillance. Journal of Public Health Informatics, 9(1), e20. doi:10.5210/ojphi.v9i1.7598[Crossref] , [Google Scholar]) enables early detection of emerging patterns in spatio-temporal data, accounting for both the complex, correlated nature of the data and the fact that detecting subtle patterns requires integration of information across multiple spatial areas and multiple time steps. We apply this approach to 17 years of county-aggregated data for monthly opioid overdose deaths in the New York City metropolitan area, showing clear advantages in the utility of discovered patterns as compared to typical anomaly detection approaches. To detect and characterize emerging overdose patterns that differentially affect a subpopulation of the data, including geographic, demographic, and behavioral patterns (e.g., which combinations of drugs are involved), we apply the Multidimensional Tensor Scan (Neill, 2017 Neill, D. B. (2017). Multidimensional tensor scan for drug overdose surveillance. Journal of Public Health Informatics, 9(1), e20. doi:10.5210/ojphi.v9i1.7598[Crossref] , [Google Scholar]) to 8 years of case-level overdose data from Allegheny County, Pennsylvania. We discover previously unidentified overdose patterns which reveal unusual demographic clusters, show impacts of drug legislation, and demonstrate potential for early detection and targeted intervention. These approaches to early detection of overdose patterns can inform prevention and response efforts, as well as understanding the effects of policy changes.