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This research examines the effects of health, location, and other factors on receipt of wage income for young heads of households, aged 19 to 25, who lived in HUD-assisted housing and in other rental housing in 2011.

This chapter reports results of analyses of the 2011 American Housing Survey, merged with HUD administrative records, available as a public-use file at the U.S. Census Bureau.

Nineteen percent of young householders in assisted housing and 8% in other rental housing reported less than good health or a disability. Nearly two-thirds of young householders in assisted housing reported receipt of earned income. For respondents in assisted housing who reported good health and no disabilities, logistic regression models suggest that educational attainment beyond a high school diploma, more than one adult in the household, and living in metropolitan areas in the Midwest or West census regions were positively and statistically significant for receipt of earned income. For respondents in both assisted and other rental housing who reported less than good health and/or disabilities, residence in assisted housing or educational attainment beyond a high school diploma were positively associated with receipt of earned income, while residence in the metropolitan South lowered the odds of receipt of earned income.

Success of self-sufficiency programs will depend on accommodating the imperatives created by health, disability, and structural impediments created by a market economy.

This is the first analysis of health/disability and other barriers to paid employment that accurately identifies a nationally representative sample of young Millennials in HUD-assisted and other rental housing.

A recent trend in the study of poverty is to consider a relative poverty line, one that is responsive to the nature of the income distribution. We develop an axiomatic approach to the determination of an amalgam poverty line. Given a reference income (e.g., the mean or the median), the amalgam poverty line becomes a weighted average of the absolute poverty line and the reference income, where the weights depend on the policy maker’s preferences for aggregating the two components. The paper ends with an empirical illustration comparing urban and rural areas in the People’s Republic of China and India.

This paper examines the effect of bank expansion on credit access and terms of credit in early America. The bank records from Plymouth Bank, Massachusetts and the Census records provide detailed information on borrowers, endorser, types and terms of loans, and borrower characteristics. The results show that the introduction of new banks did broaden credit access. However, after competition was introduced, the Bank focused more on short-term bills of exchange. In other words, the Bank shifted its emphasis from long-term accommodation paper to short-term bills of exchange.

Employment is considered to be one of the principal economic benefits for individuals and households, in the areas impacted by the extractive industry, which have traditionally gone predominantly to men. Previous researches suggested that women were less likely to be in leadership positions and have gainful employment in countries with a higher economic dependence on the extractive industries, than countries with a low dependency. World Bank (2013) highlighted that increasing women’s employment opportunities is good both for business, as well as for local economic development. International Finance Corporation (IFC, 2013) research indicated that higher female labour force participation may increase profits by 6–20%, drive innovation, raise attendance and retention rates, and reduce organisational risks within businesses. The current research primarily aims to investigate the representation of women in the European Union’s (EU) energy sector. The area of focus will be the companies operating in the energy sector, both renewable and non-renewable.

Purpose: Previous research has found that people’s trust in a source of information affects whether they will expose themselves to information from that source, pay attention to that source, and the likelihood that they will act on the information obtained from that source. This study tracked trends in levels of trust in different health information sources over time and investigated sociodemographic predictors of trust in these sources.

Methodology/Approach: Data were drawn from the Health Information National Trends Survey (HINTS), a nationally representative, cross-sectional survey of adults in the USA. Weighted percentages, means, and standard errors for trust in health information sources were computed using data from four iterations of the survey (2005, 2009, 2012, and 2013). Weighted multivariable logistic regression models were employed to investigate associations between sociodemographic variables and level of trust in health information sources using HINTS 2013 data.

Findings: Trend analyses revealed declining trust in “traditional” mass media channels, such as television and radio, for health information and consistently high trust in interpersonal sources, like physicians, over the past decade. Regression analyses showed that those with more education (ORs 2.93–4.59, p < 0.05) and higher incomes (ORs 1.65–2.09, p < 0.05) were more likely to trust the Internet for health information than those with less education and lower incomes. Non-Hispanic Blacks and Hispanics were more likely to trust mass media channels in comparison to Non-Hispanic Whites (ORs 1.73–2.20, p < 0.05).

Implications: These findings can be used to inform the strategic selection of channels for disseminating health information to certain demographic groups.

Data envelopment analysis is used here to track organizational efficiency over time. Input and output values are discounted with the consumer price index for equity. The model obtains annual comparisons of efficiency by obtaining outputs from a designated set of inputs.

During the COVID-19 pandemic, lockdowns and social distancing mandates forced many young Australians to radically alter everyday interactions. Physical co-presence and embodied experience, a previously taken-for-granted dynamic of territorially embedded everyday lives, and interactions with urban surroundings, were reconfigured. Digital technology, while bringing people together for work, study, or socialising, is seen to dissolve material space, and mitigate geographic isolation. But what role does co-presence and embodied, spatially embedded experience play for young people living in the city? This chapter draws on the voices and experiences of young Australians aged 18–24 during the pandemic to clarify and understand the role of the digital in their everyday lives, how they negotiated disruptions to education, work, and managing relationships during the pandemic to articulate the relationships between digital lives and embodied experiences in the city.

This paper examines how changes in immigration policy levers actually affect the skill characteristics of immigrant arrivals using a unique Canadian immigrant landings database. The paper identifies some hypotheses on the possible effects on immigrant skill characteristics of the total immigration rate, the point system weights and immigrant class weights. The “skill” characteristics examined are level of education, age, and fluency in either English or French. Regressions are used to test the hypotheses from Canadian landings data for 1980–2001. It is found that (i) the larger the inflow rate of immigrants the lower the average skill level of the arrivals, (ii) increasing the proportion of skill-evaluated immigrants raises average skill levels, and (iii) increasing point system weights on a specific skill dimension indeed has the intended effect of raising average skill levels in this dimension among arriving principal applicants.

We examine sample characteristics and elicited survey measures of two studies, the Health and Retirement Study (HRS), where interviews are done either in person or by phone, and the Understanding America Study (UAS), where surveys are completed online and a replica of the HRS core questionnaire is administered. By considering variables in various domains, our investigation provides a comprehensive assessment of how Internet data collection compares to more traditional interview modes. We document clear demographic differences between the UAS and HRS samples in terms of age and education. Yet, sample weights correct for these discrepancies and allow one to satisfactorily match population benchmarks as far as key socio- demographic variables are concerned. Comparison of a variety of survey outcomes with population targets shows a strikingly good fit for both the HRS and the UAS. Outcome distributions in the HRS are only marginally closer to population targets than outcome distributions in the UAS. These patterns arise regardless of which variables are used to construct post-stratification weights in the UAS, confirming the robustness of these results. We find little evidence of mode effects when comparing the subjective measures of self-reported health and life satisfaction across interview modes. Specifically, we do not observe very clear primacy or recency effects for either health or life satisfaction. We do observe a significant social desirability effect, driven by the presence of an interviewer, as far as life satisfaction is concerned. By and large, our results suggest that Internet surveys can match high-quality traditional surveys.