Research Papers

We investigated the observational implications of taste-based discrimination in racial profiling, considering how biases in law enforcement decisions may manifest in observed data.

We aimed to provide insights into the challenges of identifying and addressing taste-based discrimination in racial profiling through statistical and econometric analysis.

We contribute to the understanding of the complexities involved in studying and combating racial profiling, emphasizing the importance of careful empirical analysis.

We investigated the effects of long-term exposure to disadvantaged neighborhoods on high school graduation by following 4,154 children in the Panel Study of Income Dynamics, measuring neighborhood context annually from age 1 to 17.

We aimed to address the gap in previous research that typically measures neighborhood context only once, failing to account for the duration of residence and understating the detrimental effects of long-term neighborhood disadvantage.

Our findings reveal that sustained exposure to disadvantaged neighborhoods significantly reduces the probability of high school graduation, with impacts larger than previously reported. For black children, graduation rates drop from 96% to 76%, and for nonblack children, from 95% to 87%. These results highlight the importance of addressing long-term neighborhood disadvantage to improve educational outcomes.

This paper provides a general description of the relationship between individual decision problems and aggregate crime regressions to elucidate the behavioral and statistical assumptions that are implicit in the use of aggregate crime regressions.

We wish to understand how aggregate crime regressions may be appropriately used to inform positive and normative questions. We hope our discussion will prove useful in highlighting some of the limitations of the use of these regressions and, in particular, indicate how empirical findings may be overinterpreted when careful attention is not given to the link between the aggregate data and individual behavior.

Despite recent efforts to employ microeconomic data and natural experiments, aggregate crime regressions continue to play a significant role in criminological analyses.

We reviewed linear and nonlinear models and their applications, including results regarding partial identification. We also examined conceptual and methodological links with spatial econometrics and the social networks literature. We considered empirical applications in the context of the methodological overview.

We wanted to provide a template for understanding the broad social interactions literature by outlining a theoretical framework for social interactions and describing the econometric implementation of social interaction ideas.

The study of social interactions enriches the domain of inquiry of economists and the way economists conceptualize individual decision-making.

We critically reviewed the identification strategies of the social determinants of individual behaviors and interactions.

While a rich literature on the identification strategies for uncovering empirical evidence of social interactions exists, a more mature system of identification strategies is needed to identify the conditions under which social interactions occur.

This overview of the existing identification strategies of social interactions clarifies the directions for future research that improves the empirical modeling of social interactions.

We conducted a field experiment to reduce information, administrative, stigma, and procrastination costs associated with the Advance EITC, and simultaneously encouraged 401(k) savings to observe their effects on participation rates.

We aimed to understand the low participation rates in the Advance EITC and to explore whether encouraging 401(k) savings would influence the decision to participate in the Advance EITC, shedding light on the motives behind these financial choices.

Our findings suggest that EITC recipients actively choose to forgo the Advance, and the lack of increased participation with 401(k) encouragement challenges the notion of long-term forced savings motives, highlighting the need for further research into the underlying preferences and behaviors.

We analyzed a model of adoption decisions in which social interactions are present.

There has been a resurgence of interest in the role of social interactions in determining the rate at which technologies are adopted. We focused on the properties of a particular model of heterogeneous atomistic potential adopters to identify properties of adoption curves that imply the presence of social interactions.

We revealed two model properties that may assist empirical researchers in interpreting some interesting patterns in the data that provide useful directions for uncovering social influences on individual behavior.

We examined James Tobin’s contributions to growth theory over more than four decades, focusing on his emphasis on portfolio substitution between money and capital. We explored how his work stood apart from other neoclassical growth models and its relationship to the evolution of modern growth economics.

We conducted this examination to highlight the unique aspects of Tobin’s contributions to long-run growth theory. His focus on portfolio substitution provided a distinctive perspective on the non-neutrality of money, which diverged from traditional neoclassical models and influenced modern growth economics.

We want to shed light on the distinctive and influential contributions of James Tobin to growth theory. Understanding his emphasis on portfolio substitution and its implications for the non-neutrality of money enhances our comprehension of the complexities in long-run economic growth and informs contemporary economic thought and policy.

We discussed the history and usage of cross-country regressions in modern growth economics, examining their controversial interpretations and the exaggerated support for various new growth theories. We also highlighted their valuable role in identifying modern stylized facts about growth behavior.

We undertook this study to address the controversy surrounding cross-country regressions and to correct the misconceptions from early interpretations. By doing so, we aim to clarify their role and utility in empirical growth analysis and modern economic theory.

We aim to provide a critical reassessment of cross-country regressions, a fundamental tool in growth economics. By clarifying their appropriate use and significance, we contribute to more accurate and reliable empirical analyses, which are essential for understanding and fostering economic growth.

In this paper, we explore Robbins’ critical attitude to formal empirical work from the perspective of contemporary economics.

Robbins‘ discussion of the role of empirical analysis should be seen as the most celebrated effort to reject any fundamental role for statistical methods as a source of economic knowledge. We want to argue that his attitude towards empirical work rested on indefensible assumptions and that he failed to realise that the role he saw for empirical work undermined his belief in the primacy of economic theory.

Robbins’ attitudes are echoed in modern economics, best exemplified by the calibration methodology of Kydland and Prescott, which is vulnerable to similar criticisms.