{"title":"Why Did People Move During the Great Recession?: The Role of Economics in Migration Decisions.","authors":"Brian L Levy, Ted Mouw, Anthony Daniel Perez","doi":"10.7758/rsf.2017.3.3.05","DOIUrl":"https://doi.org/10.7758/rsf.2017.3.3.05","url":null,"abstract":"<p><p>Labor migration offers an important mechanism to reallocate workers when there are regional differences in employment conditions. Whereas conventional wisdom suggests migration rates should increase during recessions as workers move out of areas that are hit hardest, initial evidence suggested that overall migration rates declined during the Great Recession, despite large regional differences in unemployment and growth rates. In this paper, we use data from the American Community Survey to analyze internal migration trends before and during the economic downturn. First, we find only a modest decline in the odds of adults leaving distressed labor market areas during the recession, which may result in part from challenges related to the housing price crash. Second, we estimate conditional logit models of destination choice for individuals who migrate across labor market areas and find a substantial effect of economic factors such as labor demand, unemployment, and housing values. We also estimate latent class conditional logit models that test whether there is heterogeneity in preferences for destination characteristics among migrants. Over all, the latent class models suggest that roughly equal percentages of migrants were motivated by economic factors before and during the recession. We conclude that fears of dramatic declines in labor migration seem to be unsubstantiated.</p>","PeriodicalId":51709,"journal":{"name":"Rsf-The Russell Sage Journal of the Social Sciences","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5439978/pdf/nihms844278.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35030639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christopher R Browning, Catherine A Calder, Lauren J Krivo, Anna L Smith, Bethany Boettner
{"title":"Socioeconomic Segregation of Activity Spaces in Urban Neighborhoods: Does Shared Residence Mean Shared Routines?","authors":"Christopher R Browning, Catherine A Calder, Lauren J Krivo, Anna L Smith, Bethany Boettner","doi":"10.7758/RSF.2017.3.2.09","DOIUrl":"10.7758/RSF.2017.3.2.09","url":null,"abstract":"<p><p>Residential segregation by income and education is increasing alongside slowly declining black-white segregation. Segregation in urban neighborhood residents' non-home activity spaces has not been explored. How integrated are the daily routines of people who live in the same neighborhood? Are people with different socioeconomic backgrounds that live near one another less likely to share routine activity locations than those of similar education or income? Do these patterns vary across the socioeconomic continuum or by neighborhood structure? The analyses draw on unique data from the Los Angeles Family and Neighborhood Survey that identify the location where residents engage in routine activities. Using multilevel p<sub>2</sub> (network) models, we analyze pairs of households located in the same neighborhood and examine whether the dyad combinations across three levels of SES conduct routine activities in the same location, and whether neighbor socioeconomic similarity in the co-location of routine activities is dependent on the level of neighborhood socioeconomic inequality and trust. Results indicate that, on average, increasing SES diminishes the likelihood of sharing activity locations with any SES group. This pattern is most pronounced in neighborhoods characterized by high levels of socioeconomic inequality. Neighborhood trust explains a nontrivial proportion of the inequality effect on the extent of routine activity sorting by SES. Thus stark, visible neighborhood-level inequality by SES may lead to enhanced effects of distrust on the willingness to share routines across class.</p>","PeriodicalId":51709,"journal":{"name":"Rsf-The Russell Sage Journal of the Social Sciences","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5640327/pdf/nihms885321.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35515488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How Wealth Inequality Shapes Our Future.","authors":"Fabian T Pfeffer, Robert F Schoeni","doi":"10.7758/rsf.2016.2.6.01","DOIUrl":"10.7758/rsf.2016.2.6.01","url":null,"abstract":"<p><p>Liz, Mary, and Howard are three teenagers in the 1980s. Although unrelated, their families have much in common: stable two- parent households, at least one parent completed high school (though none of them went to college), and all three are white. They differ in one important aspect: their parents command quite different levels of wealth (here measured as net worth, that is, the total sum of financial and real assets minus debt). Liz's parents own less than $700 (inflation adjusted to 2013 dollars), meaning that Liz grows up at the bottom of the wealth distribution. Still, she is far from living in poverty thanks to her parents' annual income of about $50,000. Mary's parents have a somewhat higher income, about $70,000, but also markedly more wealth than Liz's parents: their net worth of roughly $60,000 puts them at about the national median of the time. Also unlike Liz's parents, they are homeowners. Howard is lucky enough to grow up in affluence. Not in terms of income, given that his parents have a household income of only about $40,000, but they have considerable wealth. With a net worth of nearly a quarter million dollars, Howard's parents are in the top 20 percent of wealth holders. They, too, own their home.</p>","PeriodicalId":51709,"journal":{"name":"Rsf-The Russell Sage Journal of the Social Sciences","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5560613/pdf/nihms887684.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35284966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jonathan Fisher, David Johnson, Jonathan Latner, Timothy Smeeding, Jeffrey Thompson
{"title":"Inequality and Mobility using Income, Consumption, and Wealth for the Same Individuals.","authors":"Jonathan Fisher, David Johnson, Jonathan Latner, Timothy Smeeding, Jeffrey Thompson","doi":"10.7758/RSF.2016.2.6.03","DOIUrl":"10.7758/RSF.2016.2.6.03","url":null,"abstract":"<p><p>Recent studies of economic inequality almost always separately examine income inequality, consumption inequality, and wealth inequality, and hence, these studies miss the important synergy between the three measures explicit in the life-cycle budget constraint. Using the Panel Study of Income Dynamics (PSID), we study inequality in three dimensions, focusing on the conjoint distributions of income, consumption, and wealth for the same individuals. We find that the trends in inequality in income, consumption, and wealth similarly increase between 1999 and 2013. We examine the pairwise distributions of our measures using the average propensity to consume and the wealth-income ratios. Using the longitudinal nature of the PSID, we follow people over this period and find mobility is similar using income, consumption and wealth. We conclude that while all three types of inequality are rising, wealth increasingly acts as a buffer to cushion income changes, which could reduce mobility - both intra- and inter-generational mobility.</p>","PeriodicalId":51709,"journal":{"name":"Rsf-The Russell Sage Journal of the Social Sciences","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6097710/pdf/nihms-982828.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36407333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Opt-Out Continuation: Education, Work, and Motherhood from 1984 to 2012.","authors":"Tanya Byker","doi":"10.7758/RSF.2016.2.4.02","DOIUrl":"https://doi.org/10.7758/RSF.2016.2.4.02","url":null,"abstract":"<p><p>Debate about an increasing trend in highly educated women dropping out of the labor force to care for children-an opt-out revolution-has been considerable. I use unique features of the of Survey of Income and Program Participation-a large nationally representative sample, longitudinal structure, monthly labor-force outcomes, and repeated panels-to study trends in women's birth-related career interruptions over time and across the education spectrum. Methodologically, I use event studies to compare women's monthly labor-force outcomes on the extensive and intensive margins from twenty-four months before to twenty-four months after births in the 1980s, 1990s, and 2000s. Rather than an abrupt change in opting out, I find that the pattern of birth-related interruptions has changed surprisingly little over the past thirty years-substantial and sustained interruptions remain common for mothers in all education categories. Rather than a revolution, I find an opt-out continuation.</p>","PeriodicalId":51709,"journal":{"name":"Rsf-The Russell Sage Journal of the Social Sciences","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6375093/pdf/nihms-1007844.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36976672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Motherhood and the Wages of Women in Professional Occupations.","authors":"Claudia Buchmann, Anne McDaniel","doi":"10.7758/RSF.2016.2.4.05","DOIUrl":"10.7758/RSF.2016.2.4.05","url":null,"abstract":"<p><p>It is well established that mothers are paid less than childless women and that fathers tend to earn higher wages relative to childless men, but we do not know whether these findings apply to workers in all occupations. Using IPUMS and ACS data from 1980 and 2010, we examine the family wage gap for highly educated professionals, the most advantaged sector of the occupational distribution. Results indicate that the size of the negative wage differential for motherhood has declined over time in all professions. Moreover, in the traditionally male-dominated professions of STEM, medicine, and law, women with children experience a positive wage differential, whereas their counterparts in female-dominated professions continue to experience a negative one. The positive differential for fatherhood has remained stable over time. These findings underscore the growing heterogeneity of women's experiences in combining work and family and raise important questions for further research.</p>","PeriodicalId":51709,"journal":{"name":"Rsf-The Russell Sage Journal of the Social Sciences","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5699502/pdf/nihms885349.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35586724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multiple Barriers to Economic Opportunity for the \"Truly\" Disadvantaged and Vulnerable.","authors":"Timothy M Smeeding","doi":"10.7758/RSF.2016.2.2.04","DOIUrl":"10.7758/RSF.2016.2.2.04","url":null,"abstract":"<p><p>This article answers several questions: Which subgroups of the U.S. population-designated by race, ethnicity, family structure, educational status, income, wealth, consumption, or other characteristics-appear to be particularly vulnerable to a lack of economic opportunity based on household characteristics of the family and its children? To what degree does poor access to economic advancement appear to reflect low income or wealth, or do additional barriers contribute substantially to some subgroups' limited opportunities? Similarly, what advantages accrue to high-income and other privileged groups, such as those born into a well-established married family? What does current research tell us about the mechanisms through which barriers operate and policies that might be effective in reducing them?</p>","PeriodicalId":51709,"journal":{"name":"Rsf-The Russell Sage Journal of the Social Sciences","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6095670/pdf/nihms-982827.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36409486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Can Early Childhood Interventions Decrease Inequality of Economic Opportunity?","authors":"Katherine Magnuson, Greg J Duncan","doi":"10.7758/RSF.2016.2.2.05","DOIUrl":"10.7758/RSF.2016.2.2.05","url":null,"abstract":"<p><p>This paper considers whether expanding access to center-based early childhood education (ECE) will reduce economic inequality later in life. A strong evidence base indicates that ECE is effective at improving young children's academic skills and human capital development. We review evidence that children from low-income families have lower rates of preschool enrollment than their more affluent peers. Our analysis indicates that increasing enrollments for preschoolers in the year before school entry is likely to be a worthy investment that will yield economic payoffs in the form of increased adult earnings. The benefits of even a moderately effective ECE program are likely to be sufficient to offset the costs of program expansion, and increased enrollment among low-income children may reduce later economic inequality.</p>","PeriodicalId":51709,"journal":{"name":"Rsf-The Russell Sage Journal of the Social Sciences","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6100797/pdf/nihms984691.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36419455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Income and Access to Higher Education: Are High Quality Universities Becoming More or Less Elite? A Longitudinal Case Study of Admissions at UW-Madison.","authors":"Sara E Dahill-Brown, John F Witte, Barbara Wolfe","doi":"10.7758/RSF.2016.2.1.04","DOIUrl":"https://doi.org/10.7758/RSF.2016.2.1.04","url":null,"abstract":"<p><p>Has access to selective postsecondary schools expanded or contracted? Evaluating this question has proven a difficult task because data are limited, particularly with regard to family income. We complement previous work and provide a replicable model of institutional analysis. This paper presents a detailed, quantitative assessment of admissions at the University of Wisconsin-Madison, an elite flagship public university-the type that is supposed to offer excellent opportunities to students from all backgrounds. We use an innovative measure of family income to compare applicant, admissions, and enrollment trends for low-income and minority students from 1972 to 2007. The unique aspects of this study include the more reliable measure of income and the ability to look at the full process from applications, admissions, and matriculations (demand and supply), not generally available in national datasets.</p>","PeriodicalId":51709,"journal":{"name":"Rsf-The Russell Sage Journal of the Social Sciences","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.7758/RSF.2016.2.1.04","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36431801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}