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The essays in this thesis study issues in finance affecting large corporations, developing economies, and households. The common theme that connects these essays is a focus on how financial institutions, frictions, and ...

This dissertation examines external stressors, perceived stress, and performance, using daily experience sampling data from undergraduate students during their final exam week. First, I investigate external stressors and ...

This dissertation examines how the changing nature of work and organizations has altered the U.S. labor market to influence employment outcomes for job seekers (1) in alternative work arrangements and (2) of different ...

This thesis consists of three essays that theoretically and empirically investigate the asset pricing and macroeconomic implications of uncertainty shocks, propose new measures for model robustness, explain the joint ...

In this thesis, we propose algorithms for solving revenue maximization and inventory control problems in data-driven settings. First, we study the choice-based network revenue management problem. We propose the Approximate ...

The Last Mile Problem refers to the provision of travel service from the nearest public transportation node to a home or office. Last Mile Transportation Systems (LMTS) are critical extensions to traditional public transit ...

In this thesis, we study mixed-integer convex optimization, or mixed-integer convex programming (MICP), the class of optimization problems where one seeks to minimize a convex objective function subject to convex constraints ...

This paper examines whether earnings targets used in long-term performance-based compensation plans predict future performance. Using a sample of targets from long-term grants made to CEOs from 2007 to 2012, I find that ...

Revenue Management (RM) is an area with important advances in theory and practice in the last thirty years. This thesis presents three different new applications in RM with a focus on: the firms' perspective, the government's ...

Optimization in the presence of uncertainty is at the heart of operations research. There are many approaches to modeling the nature of this uncertainty, but this thesis focuses on developing new algorithms, software, and ...