Jacob Hartwig
Jacob Hartwig Email
PhD Student (2023)
Amedeus Dsouza
Amedeus Dsouza Email
PhD Student (2023)
Rachel Coroseo Rojas
Rachel Coroseo Rojas Email
PhD Student (2023)
Dylan Baker
Dylan Baker Email
PhD Student (2023)
Iris Arbogast
Iris Arbogast Email
PhD Student (2023)
Bruno Aravena Maguida
Bruno Aravena Maguida Email
PhD Student (2023)
Samuel Higbee
Samuel Higbee Email
PhD Student (Job Market Candidate)

Primary Research Focus: Econometrics
References: Stéphane Bonhomme (Chair), Max Tabord-Meehan, Guillaume Pouliot, Arun Chandrasekhar
Samuel Higbee's Personal Website
Samuel Higbee's CV

Recent Research / Recent Publications

Experimental Design for Policy Choice

Abstract
We study how to design experiments for the objective of choosing optimal polices. An experimenter wants to choose a policy to maximize welfare subject to budget or other policy constraints. The effects of counterfactual policies are described by a structural econometric model governed by an unknown parameter. The experimenter has access to some pilot data, and has the opportunity to collect additional data through an experiment. The joint experimental design and policy choice problem is a dynamic optimization problem with a very high-dimensional state space, since the chosen policy depends on the realized data. We propose a low-dimensional approximation to the solution and show it is asymptotically optimal under Bayes expected welfare. The method applies to policies allocating discrete as well as continuous treatments, such as cash transfers, prices, or tax credits, which may be targeted on the basis of covariates. We demonstrate the method using the conditional cash transfer program Progresa, showing how to design an experiment to help choose a policy aimed at increasing graduation rates and reducing gender disparities in education. Compared to the original Progresa experiment, the optimal experiment requires only one quarter as many observations to obtain equally effective policies.

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Person
Steven Anthony Buschbach
PhD Student (2022)
Jingtao Zheng headshot
Jingtao Zheng Email
PhD Student (Job Market Candidate)

Primary Research Focus: International Finance, Asset Pricing
Secondary Research Focus: FinTech, Commercial Real Estate
References: Raghuram Rajan (Co-Chair), Wenxin Du (Co-Chair), Stefan Nagel, Ralph Koijen, Lars Peter Hansen
Job Market Paper Title: "Dividend Flows and the Foreign Exchange Rate"
Jingtao Zheng's Personal Website
Jingtao Zheng's CV

Recent Research / Recent Publications

"Dividend Flows and the Foreign Exchange Rate"

Abstract
A simple dividend-based currency strategy, which shorts a currency on the date its country’s recent aggregate dividend payment by listed companies is large, exhibits a significant Sharpe ratio and alpha not explained by standard FX factors. To understand this anomaly, I empirically identify the significant price impact of predetermined dividend payments on exchange rates around payment dates. I propose the dividend repatriation channel where benchmark investors (ETFs & mutual funds) predictably repatriate a certain proportion of dividends received in local currency due to the cash dividend treatment in the equity index methodology. I build a model in which heterogeneous financial intermediaries with limited risk-bearing capacity accommodate benchmark investors’ currency demands stemming from dividend repatriation flows. In line with the model’s implications, I find that the price impact of dividend flows on FX around the payment date is large when the intermediary capital ratio is low, the CIP deviation is large, and the FX implied volatility is high. I conclude by discussing the implications of my findings on currency market elasticity, capital regulations, and FX regimes.

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