Working Papers:

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"Quantifying Uncertainties in Estimates of Income and Wealth Inequality" (Job Market Paper).

Online Appendix, Data and Code

"Goals, Constraints, and Transparent Assignment: A Field Study of the UEFA Champions League"
 (joint with Alistair J. Wilson), Revise and Resubmit at Management Science.

Online Appendix, Data and Code

Abstract: I measure the uncertainty affecting estimates of economic inequality and investigate how accounting for the properly estimated standard errors can affect the results of empirical and structural macroeconomic studies. In my analysis, I rely upon two data sets: The Survey of Consumer Finances---a triennial survey of household financial condition, and the Public Use File---an annual sample of individual income tax returns. I demonstrate that ignoring uncertainties in estimated wealth and income shares can lead to erroneous conclusions about the current state of the economy and, thereby, lead to inaccurate predictions and ineffective policy recommendations.

Abstract: We analyze a matching mechanism developed to solve a complex constrained assignment problem for one of the most successful pan-European ventures: the UEFA Champions League. Relying upon a combination of theory, structural estimation, and simulation, we outline a quantitative methodology aimed at assessing a highly transparent (but combinatorically complex) tournament’s assignment procedure. Our analysis indicates that the UEFA mechanism is effectively a “constrained-best” in terms of pairwise independence. Moreover, we find that while substantially better mechanisms do not exist given the current constraint structure, matching distortions can be substantially reduced by only marginally relaxing the currently imposed constraint set.

Abstract: I identify and address several shortcomings of the existing and widely applied approach in studying the relationship between business cycles and the well-being of economic agents. In contrast to the existing literature, I allow for the relationship in question to be nonlinear by relying upon semiparametric estimation techniques. Moreover, I proxy for the state of the economy by analyzing both average economic conditions, as well as the observed variability in growth cycles. While my initial results complement rather than contradict those in the literature, they provide a novel and much needed reconsideration of how to correctly analyze the relationship between economic recessions and/or expansions and health.

"Semiparametric Estimation of the Relationship between Recessions and Health" 

Description: I identify different sources of measurement error that may arise in the survey response process for the Survey of Consumer Finances (SCF). Moreover, I intend to estimate the magnitude of the SCF measurement error with the aim of producing better estimates of standard errors for a large class of point estimates, including that of wealth and income shares.

Works in Progress:

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"Estimating Measurement Error in the Survey of Consumer Finances" 

"Tracking the recession triggered by COVID-19 recession" (joint with Jean-François Richard)

Description: We use the methodology introduced in our joint paper “Balanced Growth Approach to Tracking Recessions” to track the most recent recession triggered by COVID-19. In addition, we intend to propose policy measures aimed at ameliorating the current economic downturn.