Author Archives: Economics Dept

By Feng Pan

This research analyzes the fiscal sustainability of Argentina from 1993 to 2013. Specifically, it explains the peso devaluation in early 2014 and suggests that it is primarily due to the fundamental problems in Argentina’s economy. This paper highlights Argentina’s inability to enhance its fiscal conditions and suggests possible future economic developments in Argentina. This paper concludes that there is high
chance of hyperinflation, debt default, and the eventual dissolution of the managed exchange rate regime in Argentina in the future.

Advisor: Alison Hagy, Craig Burnside | JEL Codes: E43, E44, E52, E58, E62, F31 | Tagged: Argentine Peso, Exchange Rate, Fiscal Sustainability

Shale Gas Development and Housing Value in the United Kingdom: Impact of the 13th Onshore Licensing, 2008

By Esther Lho

While shale gas is a prospective energy source, it is known to bring environmental deficits to the drilling neighborhood. Because of such concerns, property values fluctuate upon the possibility of shale gas fracturing. This paper examines the change in housing prices before and after the release of the 13th onshore oil and gas licensing round, which took place in 2008 when shale gas was increasingly being considered as the alternative to ease the United Kingdom’s dependency on coal. Results suggest that the 2008 licensing has caused a 3% decrease in housing price growth rate for the licensed areas.

Advisor: Christopher Timmins | JEL Codes: Q42, Q5, Q51 | Tagged: Consumer Expectation, Fracturing, Hedonic Price, Housing Prices, Property valuation, Shale Gas, United Kingdom

Dealing with Data: An Empirical Analysis of Bayesian Black-Litterman Model Extensions

By Daniel Roeder

Portfolio Optimization is a common financial econometric application that draws on various types of statistical methods. The goal of portfolio optimization is to determine the ideal allocation of assets to a given set of possible investments. Many optimization models use classical statistical methods, which do not fully account for estimation risk in historical returns or the stochastic nature of future returns. By using a fully Bayesian analysis, however, this analysis is able to account for these aspects and also incorporate a complete information set as a basis for the investment decision. The information set is made up of the market equilibrium, an investor/expert’s personal views, and the historical data on the assets in question. All of these inputs are quantified and Bayesian methods are used to combine them into a succinct portfolio optimization model. For the empirical analysis, the model is tested using monthly return data on stock indices from Australia, Canada, France, Germany, Japan, the U.K.
and the U.S.

Advisors: Andrew Patton, Scott Schmidler | JEL Codes: C1, C11, C58, G11 | Tagged: Bayesian Analysis Global Markets Mean-Variance Portfolio Optimization

Adoption Subsidy, Foster Care Payment, and Foster Care Adoption: A Two-stage Least Squares Approach

By Chun Sun Bak

This paper examines the effect of the change in the magnitude of monthly governmental adoption subsidy on the adoption rate for foster children in foster family structures. In order to account for omitted variable bias attached to the amount of subsidy that a child receives, I construct an instrumental variable that takes advantage of the fact that each state has different policies on: (1) the base age from which a child is eligible for special needs; and (2) the amount of increased adoption subsidy that a child receives, on average, if he or she is eligible for special needs adoption. Using the data from the Adoption and Foster Care Analysis and Reporting System (AFCARS) during the years 2001 to 2012, I find that a dollar increase in the amount of adoption subsidy, holding the amount of foster care payment constant, is expected to increase a foster child’s probability of adoption by 0.255%. Although the positive sign of the coefficient is intuitive, and although it is statistically significant at all levels, its magnitude is unrealistically high, suggesting that there may be a problem in the instrument itself or in the accuracy and selection of the data.

Advisor: Alison Hagy, Allan Collard-Wexler | No JEL Codes on file at this time

Word-of-Mouth Effects in the Holdings and Trading Activities among Canadian Mutual Fund Managers

By Chang Liu

The study tests the word-of-mouth effects among mutual fund managers in Canada with methodology based on a previous study (Hong et al., 2005), with multiple modifications to it such as the method to locate the mutual fund managers. The results confirm the original findings yet with unexpected outcomes. This study demonstrates smaller word-of-mouth effects compared to the original study and reverse word-of-mouth effects in the largest financial city of Canada. The possible interpretations are further discussed in detail, among which a dynamic model of word-of-mouths effects and product differentiation is introduced. The study also discusses the market structure’s possible implications on such dynamic models.

Advisor: Jia Li | JEL Codes: G02, G15, G20, G21 | Tagged: Word-of-Mouth, Product Differentiation, Herding Behavior

The effect of Mexico’s Conditional Cash Transfer Program on Migration Decisions

July 12, 2014

by Aki Ishikawa

Abstract

The Mexican conditional cash transfer program, Oportunidades, is commonly overlooked for long-term evaluations. One understudied effect of this poverty-reduction program is the change in migration behavior caused by the cash transfers. Using data from the Mexican Family Life Survey, this study outlines the effects of the social net program on international migration of low-income households in Mexico. The results suggest that the program causes a positive increase in likelihood for international migration for program participants. Within participating households, individuals who are responsible for grant income tend to migrate less compared to the other members of the households. This research provides valuable insight into existing literature on migration of low-income households in relation to the availability of the conditional cash transfer program.

Professor Charles Becker, Faculty Advisor

JEL Codes: O15,

Early Identification of Students at Risk for High School Dropout

By Derek Lindsey

For years, many have hoped to identify why high school students drop out. Typically, studies focus on factors identified in high school or middle school. By tracking a cohort of North Carolina students from third grade onward, we attempt to identify areas for intervention even earlier in order to prevent dropouts. Indeed, we find that variables that can be viewed as indicators of high risk for drop out in middle school are already measurably present as early as third grade. This suggests interventions can begin when students are still very young and when treatment is likely to be more effective.

Advisor: Thomas Nechyba | JEL Codes: I2, I20 | Tagged: Dropout, Education, Elementary School, Graduation, High School, Middle School

Understanding SME Finance: Determinants of Relationship Lending

By Sean Suk Hyun Choi

Much of the existing literature in small and medium-sized enterprise (SME) finance surveys the impact of borrower and lender characteristics on firms’ credit availability, and it has already been established that there is a link between strong firm-bank relationship and higher level of credit availability. In this paper, I focus on what determines the strength of relationship, measured by length and exclusivity. In particular, I was able to build an original metric to gauge the strength of relationship using the inverse value of the number of financial institution that a firm deals with. Using a set of regressions, I confirm the existing theories that size of the firm and type of ownership matters. Small firms and sole proprietorships tend to have longer and more exclusive relationships, which implies their reliance on relationship lending. Firm owner characteristics are shown to be somewhat important, in that it serves as proxies for a given firm’s creditworthiness.

Advisor: Grace Kim, Michelle Connolly | JEL Codes: G02, G21, G30, L14 | Tagged: Asymmetrical information, Credit Rationing, Relationship Lending, SME Finance

The Impact of Micro-Banking on Health: Evidence from Self-Help Group Involvement and Child Nutrition

By Madeline Mckelway

Low income is only one nancial problem that poor families in developing countries face; impoverished households must also face irregularity of their low incomes. Self-help groups (SHGs) can enhance consumption stability by relaxing savings and credit constraints. In this study, I investigate the extent to which SHGs improve a particular dimension of household wellbeing: child nutrition. I analyze households aliated with the SHGs started by the People’s Education and Development Organization (P.E.D.O.) in rural Rajasthan, India. Children who had greater levels of exposure to household SHG membership at a young age have healthier anthropometric statuses than their siblings who had relatively less. This relationship does not appear to be driven by events coinciding with SHG involvement or by the tendency for certain children, who were also exposed to SHGs, to receive better nutrition than their siblings. These endings suggest that SHGs could improve child nutrition.

Advisor: Erica Field, Michelle Connolly | JEL Codes: O1, O12, O15, O16, O22 | Tagged: Microeconomic Analyses of Economic Development; Human Resources for Economic Development; Financial Markets in Economic Development; Project Analysis

Optimal Lineups in Penalty Kick Shootouts: An Empirical and Theoretical Investigation

By Lucas Hubbard and Christian Britto

The purpose of this paper is to determine how teams should order their lineups in a five-man penalty kick shootout. We begin with a theoretical investigation of how comparative advantages for certain players in stressful situations will create clear, optimal lineup strategies for managers to emulate. Then, we analyze the performance of shooters in all professional men’s international shootouts thus far. We observe a number of factors that affect the player’s success rate—most notably, shooting in a high-pressure situation, shooting in a World Cup, and shooting against a more experienced goalkeeper all negatively impact the player’s success rate. Interestingly, we see a diminishing effect of the adverse response to high-pressure as the shooters are more experienced: inexperienced players suffer a statistically significant adverse response, while average and experienced players show no adverse response to high-pressure. We conclude with a simulation based on the empirical values that suggests teams should place their worst high-stress players (their inexperienced players) in the earlier shootout slots, as those are guaranteed to be of a low-stress variety. Conversely, players who perform relatively well under high-stress should be placed in slots 3-5, which are more likely to be of the high-stress variety. We observe the proportion of shootouts that end after a certain number of kicks, and we conclude that if coaches are able to identify their best high-stress kickers, the first team’s best kicker should kick in either round 4 or 5, while the second team’s best kicker should kick in either round 3 or 4. Finally, we see that the structure of the shootout provides an inherent advantage to the first team to shoot in shorter shootouts and an inherent advantage to the second team in longer shootouts. We recommend the ABBA ordering strategy put forth by Palacios-Huerta as a way to prevent this systemic inequality.