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  1. Study Uses 311 Complaints to Track Where and When Neighborhood Conflict Emerges

    Each year, 311 — New York City's main hub for government information and non-emergency services — receives millions of requests and complaints, including New Yorkers' gripes about their neighbors.

  2. With Racial Segregation Declining Between Neighborhoods, Segregation Now Taking New Form

    Recent research has shown that racial segregation in the U.S. is declining between neighborhoods, but a new study indicates that segregation is manifesting itself in other ways — not disappearing.

  3. Lightness/Darkness of Skin Affects Male Immigrants' Likelihood of Gaining Employment

    Skin color is a significant factor in the probability of employment for male immigrants to the United States, according to a new study by two University of Kansas (KU) researchers.

  4. Veterans Live in More Diverse Neighborhoods Than Their Civilian Counterparts of Same Race

    When members of the U.S. military leave the service, they tend to settle in neighborhoods with greater overall diversity than their civilian counterparts of the same race, according to a new study that will be presented at the 110th Annual Meeting of the American Sociological Association (ASA).

  5. Brokers and the Earnings of Female Sex Workers in India

    This study examines whether working with a broker increases or reduces the payment received for the last client among female sex workers. Building on research on the informal economy and sex work, we formulate a positive embeddedness hypothesis, expecting a positive association, and an exploitation hypothesis, expecting a negative association. We analyze a large survey combined with intensive interview data on female sex workers in Andhra Pradesh, India. These data uniquely distinguish between the amount the sex worker actually received and the amount the client paid.

  6. Stuck in Unhealthy Places: How Entering, Exiting, and Remaining in Poor and Nonpoor Neighborhoods Is Associated with Obesity during the Transition to Adulthood

    Adolescents from poor versus nonpoor neighborhoods are more likely to become obese during the transition to adulthood. It is unclear whether this pertains to all adolescents from poor neighborhoods or only those who remain in disadvantaged settings. Further, it is unknown how neighborhood poverty entries and exits are associated with obesity.

  7. The Dynamics of Neighborhood Structural Conditions: The Effects of Concentrated Disadvantage on Homicide over Time and Space

    Several recent spatial analyses conclude the strong positive association typically found between neighborhood concentrated disadvantage and crime in cross-sectional studies significantly differs across neighborhoods. It is possible this spatial variation is due to within-neighborhood dynamics of continuity and change, as suggested by ecological theories of neighborhood crime.

  8. Who Are the People in Your Neighborhood? Neighborhood Age Composition and Age Discrimination

    Age discrimination is pervasive in the United States, yet little is known about the social contexts in which it occurs. Older persons spend much of their time in their neighborhoods, where a density of other older persons may protect against age discrimination. Extending group density theory to age, we analyze data from 1,561 older adults from the second wave of the National Survey of Midlife Development in the United States, using neighborhood-level data from the 2010 U.S. census.

  9. Discrimination in Lending Markets: Status and the Intersections of Gender and Race

    Research documents that lenders discriminate between loan applicants in traditional and peer-to-peer lending markets, yet we lack knowledge about the mechanisms driving lenders’ behavior. I offer one possible mechanism: When lenders assess borrowers, they are implicitly guided by cultural stereotypes about the borrowers’ status. This systematically steers lenders toward funding higher status groups even when applicants have the same financial histories.

  10. An Introduction to the General Monotone Model with Application to Two Problematic Data Sets

    We argue that the mismatch between data and analytical methods, along with common practices for dealing with "messy" data, can lead to inaccurate conclusions. Specifically, using previously published data on racial bias and culture of honor, we show that manifest effects, and therefore theoretical conclusions, are highly dependent on how researchers decide to handle extreme scores and nonlinearities when data are analyzed with traditional approaches.