In Chapter 1, I document a novel result regarding the uncovered interest rate parity (UIP) puzzle: investing in high interest rate currencies does not yield positive excess returns during recessions. That is, the UIP holds in bad times. This new finding is a challenge to existing rational...

The dissertation consists of three chapters, each focusing on a different application of learning in financial markets. The first chapter addresses survivorship bias in the global equity markets. Survivorship bias refers to people’s tendency of focusing on successful individuals in inferring...

In chapter 1, I study the experimentation dynamics of a decision maker (DM) in a two-armed bandit setup ([5]), where the agent holds ambiguous beliefs regarding the distribution of the return process of one arm and is certain about the other one. The DM entertains Multiplier preferences a la...

This dissertation studies how a subscription service provider offers contracts to customers without full information on their preferences. The first essay studies a mechanism design problem for business interruption (BI) insurance. More specifically, we study how an insurer deals with adverse...

This dissertation consists of three essays that delve into the intersection of econometrics and macroeconomics. The essays employ econometric tools to investigate various topics related to macroeconomic forecasting and policy-making. The first essay aims to help policy-makers conduct robust...

Ridesharing markets are complex: drivers are strategic, rider demand and driver availability are stochastic, and complex city-scale phenomena like weather induce large scale correlation across space and time. At the same time, past work has focused on a subset of these challenges. We propose a...

Looking for work can be a very fraught experience, filled with immense stress and pressure. The sociological literature, however, has tended to view job searches as simple matching processes, connecting potential employees to employers. In my dissertation, I argue for further interrogation of...

Over the last decade, decision neuroscientists have documented several stylized examples of neuroforecasting -- the idea that neuroimaging data collected from a small sample of subjects can be used to estimate how populations will behave. Frequently, these studies demonstrate significant neural...

The first chapter of this dissertation, coauthored with Martin Eichenbaum and Riccardo Bianchi-Vimercati, addresses the question: how sensitive is the power of fiscal policy at the ZLB to the assumption of rational expectations? We do so through the lens of a standard NK model in which people...

Using new high-frequency rent data for apartments in Chicago, this paper documents the origin of rent stickiness and its implications for income distribution in the rental housing market. This paper finds that neither Calvo nor Taylor’s models fully explain rent-setting behaviors because...