COMPUTER APPLICATIONS IN TEACHING ECONOMETRICS

In most econometrics courses the students are given limited exposure to the empirical applications of econometric theory. The use of canned programs would make it possible to cover more applied econometric work, and help prepare the students for more empirical work. The computer can be a valuable teaching aid for both instructor and student. The students will also gain valuable experience in the area of computer assisted data analysis. This paper discusses many of the programs appropriate for use in econometrics courses. Examples of problems using programs, and several alternative outlines of possible courses in applied econometrics are presented.     

Deepwater Horizon oil spill exposure and child health: a longitudinal analysis

Population and Environment - The BP Deepwater Horizon oil spill (DHOS) created widespread concern about threats to health among residents of the Louisiana Gulf Coast. This study uses data from the...     

Effects of Africentric Socialization on Psychosocial Outcomes in Black Girls: The Critical Role of Gender

African American social work scholars recommend rigorous research and evaluation of Africentric interventions as one approach to building culturally appropriate, evidence-based treatments for the Black community. Following this approach, this pilot study evaluates the Imani Rites of Passage program, a 15-week Africentric curriculum with 10 Black adolescent females (mean age = 12.40), comparing their pre- and post-intervention data to that of a no-intervention group of 13 Black males (mean age = 12.08). The program evaluation is based on the degree of correspondence between theory and the measurement model spelled out by the cognitive-cultural view of African-American identity. The findings for Black females were consistent with the cognitive-cultural model in some ways but not in others, and they were more complex than the predictions. Future Africentric interventions guided by the cognitive-cultural model must consider gender differences in the outcomes. Implications for social work research and practice are discussed.     

Psychodynamic Couple Therapy: A Practical Synthesis

This essay reviews the most significant contributions of psychodynamic thought to the field of couple therapy. It distills the work of numerous clinicians and researchers who, though writing from diverse perspectives, share fundamental assumptions and concerns. Rather than emphasizing differences between schools of thought, this paper mines their best contributions in a discussion of five central therapeutic targets: underlying issues, divergent subjective experiences, transferences, projective identification, and acceptance. Two detailed cases illustrate the benefits and techniques for targeting these five therapeutic domains. Video Abstract is found in the online version of the article .     

Long-Term Earnings Differentials Between African American and White Men by Educational Level

This paper investigates long-term earnings differentials between African American and white men using data that match respondents in the Survey of Income and Program Participation to 30 years of their longitudinal earnings as recorded by the Social Security Administration. Given changing labor market conditions over three decades, we focus on how racial differentials vary by educational level because the latter has important and persistent effects on labor market outcomes over the course of an entire work career. The results show that the long-term earnings of African American men are more disadvantaged at lower levels of educational attainment. Controlling for demographic characteristics, work disability, and various indicators of educational achievement does not explain the lower long-term earnings of less-educated black men in comparison to less-educated white men. The interaction arises because black men without a high school degree have a larger number of years of zero earnings during their work careers. Other results show that this racial interaction by educational level is not apparent in cross-sectional data which do not provide information on the accumulation of zero earnings over the course of 30 years. We interpret these findings as indicating that compared to either less-educated white men or highly educated black men, the long-term earnings of less-educated African American men are likely to be more negatively affected by the consequences of residential and economic segregation, unemployment, being out of the labor force, activities in the informal economy, incarceration, and poorer health.     

Bringing Productivity Back In: Rising Inequality and Economic Rents in the U.S. Manufacturing Sector, 1971 to 2001

Using data on earnings and productivity for U.S. manufacturing industries from 1971 to 2001, we investigate economic rents and rising income inequalities. The results suggest that rents are most significant for managers, professionals, middle‐aged workers, and older workers. Conversely, negative rents are evident for women, Hispanics, single men, and blue‐collar workers. The underpayment of Hispanics appears to have increased while African Americans have gone from being underpaid to being overpaid. Workers with a college degree have become overpaid (i.e., “credentialism”) while “gift‐exchange” efficiency wages have declined. The marginal productivity of labor input has increased but is increasingly underpaid.     

Toward Probabilistic Prediction of Flash Flood Human Impacts

This article focuses on conceptual and methodological developments allowing the integration of physical and social dynamics leading to model forecasts of circumstance‐specific human losses during a flash flood. To reach this objective, a random forest classifier is applied to assess the likelihood of fatality occurrence for a given circumstance as a function of representative indicators. Here, vehicle‐related circumstance is chosen as the literature indicates that most fatalities from flash flooding fall in this category. A database of flash flood events, with and without human losses from 2001 to 2011 in the United States, is supplemented with other variables describing the storm event, the spatial distribution of the sensitive characteristics of the exposed population, and built environment at the county level. The catastrophic flash floods of May 2015 in the states of Texas and Oklahoma are used as a case study to map the dynamics of the estimated probabilistic human risk on a daily scale. The results indicate the importance of time‐ and space‐dependent human vulnerability and risk assessment for short‐fuse flood events. The need for more systematic human impact data collection is also highlighted to advance impact‐based predictive models for flash flood casualties using machine‐learning approaches in the future.