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  1. Will China's Development lead to Mexico's Underdevelopment?

    China has become an important global actor in the arenas of production, trade, and foreign investment. In 1948, China contributed slightly less than 1 percent to global exports; by 2013, it had grown to almost 12 percent. Has China's vertiginous trade growth come at the expense of other exporters or does it represent an expansion of new consumer markets? For policy makers in the so-called "emerging markets," this is most relevant since many have adopted the export-led model as their engine of development.

  2. Preventing Violence: Insights from Micro-Sociology

    Micro-sociology of violence looks at what happens in situations where people directly threaten violence, but only sometimes carry it out. This process and its turning points have become easier to see in the current era of visual data: cell-phone videos, long-distance telephoto lenses, CCTV cameras. New cues and instruments are on the horizon as we look at emotional signals, body rhythms, and monitors for body signs such as heart rate (a proxy for adrenaline level).
  3. Do Readers Judge Books by Author Gender? Results from a Randomized Experiment

    We run a randomized experiment to examine gender discrimination in book purchasing with 2,544 subjects on Amazon’s Mechanical Turk. We manipulate author gender and book genre in a factorial design to study consumer preferences for male versus female versus androgynous authorship. Despite previous findings in the literature showing gender discrimination in book publishing and in evaluations of work, respondents expressed no gender preference across a variety of measures, including quality, interest, and the amount they were willing to pay to purchase the book.

  4. CASM: A Deep-Learning Approach for Identifying Collective Action Events with Text and Image Data from Social Media

    Protest event analysis is an important method for the study of collective action and social movements and typically draws on traditional media reports as the data source. We introduce collective action from social media (CASM)—a system that uses convolutional neural networks on image data and recurrent neural networks with long short-term memory on text data in a two-stage classifier to identify social media posts about offline collective action. We implement CASM on Chinese social media data and identify more than 100,000 collective action events from 2010 to 2017 (CASM-China).
  5. Does Intra-household Contagion Cause an Increase in Prescription Opioid Use?

    Opioid use claims many thousands of lives each year. This article considers the diffusion of prescription opioid (PO) use within family households as one potential culprit of the proliferation of these medications. In an analysis of hundreds of millions of medical claims and almost 14 million opioid prescriptions in one state between 2010 and 2015, we show that the use of POs spreads within family households.

  6. Why Are Women Penalized in Product Markets?

    Previous research using data from eBay found that women receive lower prices than men when selling the exact same products. The current project explores why this gender gap obtains and why some products have larger gender price gaps than others. To answer these questions, we exploit the variation in the gender price gap across products found in the earlier eBay data together with new survey data on the perceptions people have about seemingly male-typed and female-typed products and about people’s uncertainty about the prices of products.

  7. Serial Filing: How Landlords Use the Threat of Eviction

    While recent research has illustrated the frequency and deleterious consequences of eviction, the number of executed evictions pales in comparison to the number of poor families threatened with eviction. This paper uses interviews with 127 randomly sampled landlords and property managers in Baltimore, Dallas, and Cleveland to examine their strategies related to eviction, with a focus on the extended process of evicting rather than the discrete instance of eviction.

  8. The Growth Machine Across the United States: Business Actors’ Influence on Communities’ Economic Development and Limited‐Government Austerity Policies

    The growth machine (GM) perspective has long guided urban research. Our study provides a new extension of this perspective, focusing on local business actors’ influence on communities across the United States. We question whether GM‐oriented business actors remain widely associated with contemporary local economic development policies, and further, whether these actors influence the use of limited‐government austerity policies. Conceptually, we extend the GM framework by bringing it into dialogue with the literature on urban austerity policy.

  9. Integrating Community-based Research into a Senior Capstone Seminar: Lessons Learned from a Mixed-methods Study

    This article describes a senior capstone, Neighborhoods and Health, which used community-based research (CBR) as its primary pedagogy. Students in the course drew upon multiple research methods and forms of data to provide our partner, the Urban Farming Institute of Boston, with an array of research products in support of the revitalization of a historic farm in the Boston neighborhood of Mattapan.

  10. Collective Social Identity: Synthesizing Identity Theory and Social Identity Theory Using Digital Data

    Identity theory (IT) and social identity theory (SIT) are eminent research programs from sociology and psychology, respectively. We test collective identity as a point of convergence between the two programs. Collective identity is a subtheory of SIT that pertains to activist identification. Collective identity maps closely onto identity theory’s group/social identity, which refers to identification with socially situated identity categories. We propose conceptualizing collective identity as a type of group/social identity, integrating activist collectives into the identity theory model.