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  1. Elements of Professional Expertise: Understanding Relational and Substantive Expertise through Lawyers' Impact

    Lawyers keep the gates of public justice institutions, particularly through their roles in formal procedures like hearings and trials. Yet, it is not clear what lawyers do in such quintessentially legal settings: conclusions from past research are bedeviled by a lack of clear theory and inconsistencies in research design. Conceptualizing litigation work in terms of professional expertise, I conduct a theoretically grounded synthesis of the findings of extant studies of lawyers’ impact on civil case outcomes.

  2. Paradoxes of Social Policy: Welfare Transfers, Relative Poverty, and Redistribution Preferences

    Korpi and Palme’s (1998) classic “The Paradox of Redistribution and Strategies of Equality” claims that universal social policy better reduces poverty than social policies targeted at the poor. This article revisits Korpi and Palme’s classic, and in the process, explores and informs a set of enduring questions about social policy, politics, and social equality.

  3. Policy Entrepreneurs and the Origins of the Regulatory Welfare State: Child Labor Reform in Nineteenth-Century Europe

    Industrial child labor laws were the earliest manifestation of the modern regulatory welfare state. Why, despite the absence of political pressure from below, did some states (but not others) succeed in legislating working hours, minimum ages, and schooling requirements for working children in the first half of the nineteenth century? I use case studies of the politics behind the first child labor laws in Germany and France, alongside a case study of a failed child labor reform effort in Belgium, to answer this question.
  4. “On Culture, Politics, and Poverty”

    The Great Recession, Occupy, and Black Lives Matter: all have helped raise public consciousness around issues of economic disadvantage. Leading figures from both major political parties have debated these issues, and the popular media has reported on a wide variety of stories relating to poverty and inequality. Everyday conversations among millions of Americans now include casual references to the 1%—and the 99%.

  5. Working Hours Mismatch, Macroeconomic Changes, and Mental Well-being in Europe

    Journal of Health and Social Behavior, Volume 58, Issue 2, Page 217-231, June 2017.
  6. Beyond Health Effects? Examining the Social Consequences of Community Levels of Uninsurance Pre-ACA

    The lack of health insurance is traditionally considered a problem faced by individuals and their families. However, because of the geographically bounded organization and funding of healthcare in the United States, levels of uninsurance in a community may affect everyone living there. Health economists have examined how the effects of uninsurance spillover from the uninsured to the insured, negatively affecting healthcare access and quality for the insured.
  7. The Emergence of Statistical Objectivity: Changing Ideas of Epistemic Vice and Virtue in Science

    The meaning of objectivity in any specific setting reflects historically situated understandings of both science and self. Recently, various scientific fields have confronted growing mistrust about the replicability of findings, and statistical techniques have been deployed to articulate a “crisis of false positives.” In response, epistemic activists have invoked a decidedly economic understanding of scientists’ selves. This has prompted a scientific social movement of proposed reforms, including regulating disclosure of “backstage” research details and enhancing incentives for replication.
  8. Estimating Income Statistics from Grouped Data: Mean-constrained Integration over Brackets

    Researchers studying income inequality, economic segregation, and other subjects must often rely on grouped data—that is, data in which thousands or millions of observations have been reduced to counts of units by specified income brackets.
  9. Comment: The Inferential Information Criterion from a Bayesian Point of View

    As Michael Schultz notes in his very interesting paper (this volume, pp. 52–87), standard model selection criteria, such as the Akaike information criterion (AIC; Akaike 1974), the Bayesian information criterion (BIC; Schwarz 1978), and the minimum description length principle (MDL; Rissanen 1978), are purely empirical criteria in the sense that the score a model receives does not depend on how well the model coheres with background theory. This is unsatisfying because we would like our models to be theoretically plausible, not just empirically successful.
  10. The Problem of Underdetermination in Model Selection

    Conventional model selection evaluates models on their ability to represent data accurately, ignoring their dependence on theoretical and methodological assumptions. Drawing on the concept of underdetermination from the philosophy of science, the author argues that uncritical use of methodological assumptions can pose a problem for effective inference. By ignoring the plausibility of assumptions, existing techniques select models that are poor representations of theory and are thus suboptimal for inference.