Illuminating the Economic Costs of Conflict: A Night Light Analysis of the Sri Lankan Civil War
by Nicholas Kiran Wijesekera
Abstract
This paper investigates the economic consequences of the Sri Lankan Civil War (1983-2009) by using event-based data on civilian and combatant fatalities in addition to night light imagery as a proxy for economic activity. By looking at regional economic activity across the island of Sri Lanka, this paper
seeks to identify how violence led to declines or undershoots of economic activity in the areas in which it was most prevalent. The use of night light data gives a
hyper-localized proxy measurement of this activity for each year of the war. The investigation finds that government and rebel deaths have strong, negative effects on economic activity, and that these effects spill over across time and space. Additionally, the manner in which civilian deaths occur is an important determinant of their subsequent economic impact. The paper offers new findings on the economic legacy of the Sri Lankan Civil War and extends existing work on the use of night light data to measure economic activity during conflict.
Charles Becker, Faculty Advisor
Michelle Connolly, Faculty Advisor
JEL Codes: H56, N45, O53
Improving Institutional Performance: Foreign Aid Evaluation and Determinants of Foreign Aid Project Success Ratings
by Susan Sawyer O’Keefe
Abstract
In this paper, I use a regression model to predict project outcome ratings for international aid
projects by 12 multilateral and bilateral aid agencies taking place in 183 recipient countries. The
influential factors considered are project duration, project size, evaluation type, evaluation lag, donor
ratings, and country-level indicators of development. I find a significant relationship supporting
differences in project outcome ratings for projects evaluated by an independent evaluation agency, a
resource that some banks use to access project performance by an unbiased party. I also examine the
significance of other project-level factors and compare these to trends identified in past literature on
foreign aid project effectiveness.
Michelle Connolly, Faculty Advisor
JEL classification: H43, O22
Reconstruction following Destruction: Entrepreneurship in the Aftermath of a Natural Disaster
by Richard Lombardo
Abstract
Entrepreneurship is thought to be the engine of growth in many developing countries. There is, however,
a paucity of evidence on the role that entrepreneurship plays in rebuilding economic livelihoods both in
the short and longer-term in the aftermath of a large-scale shock. This is an important gap in the literature
given the increasing frequency and severity of shocks across the globe. This paper contributes to filling that
gap by investigating the evolution of entrepreneurial success following the 2004 Indian Ocean tsunami, a
large-scale and unexpected shock. Using longitudinal survey data, the Study of the Tsunami Aftermath and
Recovery (STAR), I find large declines in business ownership, profits, and capital for those most exposed
to the tsunami that persisted through 10 years following the tsunami. These estimates can be given a causal
interpretation under the plausible assumption that exposure to the tsunami can be treated as exogenous after
taking into account individual-specific unobserved heterogeneity with fixed effects, including pre-tsunami
geographical features that drove exposure. Individuals living in rural areas and individuals with the least
resources pre-tsunami fared the worst in terms of developing new businesses. However, the massive Build
Back Better reconstruction program promoted entrepreneurship. Receipt of housing aid as part of that
program is linked to an increase in the development of non-agricultural businesses that spurred gains in real
profits.
Duncan Thomas, Faculty Advisor
Michelle Connolly, Faculty Advisor
JEL classification: D1; H84; L26; Q54
Peer Effects & Differential Attrition: Evidence from Tennessee’s Project STAR
By Sanjay Satish
Abstract
This paper explores the effects of attrition on student development in early education.
It aims to provide evidence that student departure in elementary schools has educational
impacts on the students they leave behind. Utilizing data from Tennessee’s Project STAR
experiment, this paper aims to expand upon the literature of peer effects, as well as attrition,
in public elementary schools. It departs from previous papers by utilizing survival analysis to
determine which characteristics of students prolonged participation in the experiment. Clustering
analysis is subsequently employed to group departed students to better understand
the various channels of attrition present in STAR. It finds that students who left Project
STAR were more likely to be of lower income and lower ability than their peers. This paper
then uses these findings to estimate the peer effects of attrition on students who remained
in the experiment and undertakes a discussion of potential sources of bias in this estimation
and their effects on the explanatory power of peer effects estimates.
Professor Robert Garlick, Faculty Advisor
Professor Michelle Connolly, Faculty Advisor
JEL Classification: I, I21, I26, H4, J13
Revisiting California Proposition 209: Changes in Science Persistence Rates and Overall Graduation Rates
by Anh-Huy Nguyen
Abstract
California Proposition 209 outlawed race-based affirmative action in the University
of California (UC) system in 1998. However, the UC system subsequently shifted towards
race-blind affirmative action by also reweighing factors other than race in the
admissions process. To evaluate the hypothetical changes in the science persistence rate
and graduation rate of all applicants if racial preferences had been removed entirely, I
estimate baseline and counterfactual admissions models using data from between 1995-
1997. Using a general equilibrium framework to fix the total number of admits and
enrollees, I find that the removal of racial preferences leads to a cascade of minority
enrollees into less selective campuses and a surge of non-minority enrollees into more
selective campuses. The improved matching between students and campuses results in
higher science persistence rates and graduation rates across the pool of all applicants.
In particular, the gains are driven by minority students who were admitted under racial
preferences, because the gains from better matching across UC campuses outweigh the
losses from potentially being pushed outside the UC system. Non-minority students
who are originally rejected under racial preferences also benefit, as some are induced
into the system in the counterfactual, where they are more likely to graduate. I also
investigate claims that applicants may have strategically gamed during the admissions
process by misrepresenting their interest in the sciences in order to maximize their
admissions probability. While there exist incentives to apply in different majors across
the campuses, I find evidence that applicants often fail to game optimally, suggesting
that they may not be fully informed of their relative admissions probabilities in the
sciences and non-sciences.
Professor Peter Arcidiacono, Faculty Advisor
JEL Codes: I23, I28, J24, H75
Economic Effects of the War in Donbas: Nightlights and the Ukrainian fight for freedom
By Riad Kanj
Abstract
The conflict in Eastern Ukraine began in 2014, and it has now turned into a full-scale
invasion. The separatist areas of Donetsk and Luhansk have remained isolated for the last eight
years while fighting between rebels and the Ukrainian government has continued at a low but
regular level since then. Previous studies analyze the impact of the war in Donbas on the
economic situation in the region, such as the industry and GRP growth. However, this research
uses data solely from the initial part of the conflict (2014-2016) and does not take into account the
severity of the fighting. By using both the DMSP-OLS and VIIRS data as an approximation of
economic activity in addition to the Uppsala Conflict Data Program (UCDP) casualty numbers,
the analysis explores the effects of violent conflict on economic activity over a longer period of
the Donbas war.
This paper uses both yearly and monthly satellite data in analyzing the general progression
of the conflict in addition to the monthly progression. Furthermore, nightlight data of Ukrainian
municipalities outside of Donbas are used in computing the Donbas region’s nightlight data across
several years. The UCDP data for civilian and battle-related casualties are used separately to show
the causal effects of the different fighting severities. A Two-Stage Least Squares regression is
used to see the effects of battle severity on economic outcomes.
Professor Charles Becker, Faculty Advisor
Professor Grace Kim, Faculty Advisor
JEL classification: F51; H56; O52; N44
Taxing Marijuana and the Road to Reparations: Comparing the Colorado and Illinois Cannabis Markets
By Tommaso Carlo Filippo Babucci
Although still prohibited at the federal level, cannabis can now be found on the shelves of recreational dispensaries across thirty-three U.S states. This thesis examines the development of this legal market from both historical and empirical perspectives. Using a new data set, it estimates the determinants of cannabis sales and tax revenues in the Colorado market and analyzes the incidence of a single tax increase. The results, which suggest that legal cannabis behaves like a luxury good, are used to analyze the potential for cannabis-funded reparations programs in Illinois, which recently approved recreational sales of cannabis.
Advisors: Professor Connel Fullenkamp | JEL Codes: H2, R50, L15
Evolution of Wealth and Consumption in the Aftermath of a Major Natural Disaster
By Ralph Lawton
Natural disasters can have catastrophic personal and economic effects, particularly in low-resource settings. Major natural disasters are becoming more frequent, so rigorous understanding of their effects on long-term economic wellbeing is fundamentally important in order to mitigate their impacts on exposed populations. In this paper, I investigate the effects of the 2004 Indian Ocean tsunami on real consumption and assets at the individual level. I also examine the heterogeneity of those impacts, and the related effects on inequality. Taking individual-specific heterogeneity into account with fixed effects, I find individuals living in heavily damaged areas experience major declines in real consumption and assets, and do not recover in the long term. These results are strikingly different than results that do not consider price effects, as well as previously published macroeconomic results. I also find significant heterogeneity by age, education-level, pre-tsunami socioeconomic status, and whether an individual went into a refugee camp. The tsunami resulted in large, long-term declines in asset inequality, and a temporary increase in consumption inequality that returns to near pre-tsunami levels in the long run.
Advisors: Professor Duncan Thomas, Professor Michelle Connolly | JEL Codes: D1, D15, H84
Asylum Determination within the European Union (EU): Whether Capacity and Social Constraints Impact the Likelihood of Refugee Status Determination
By Louden Paul Richason
This paper analyzes whether capacity and social constraints impact acceptance rates for asylum seekers in the European Union from 2000-2016. Theoretically people should receive asylum based on the criteria outlined in international law – a well founded fear of persecution – but the influx and distribution of applicants in the European Union suggests that this may not hold in practice. For a group of pre identified “legitimate” asylum cases, this paper finds that surges in applications in a country (i.e. capacity constraints) have a positive and statistically significant correlation with acceptance rates, while the percentage of migrants in a country (i.e. social constraints) has a negative and statistically significant correlation with acceptance rates. This suggests that the burden of proof becomes easier during a surge in total applications in a country. However, as the international migrant stock in that country increases, it is more difficult for that same group of applicants to receive asylum.
Advisors: Professor Suzanne Shanahan, Professor Michelle Connolly | JEL Codes: D73, D78, F22, H12, J11, J15, K37, O52
Assessing the Impacts of an Aging Population on Rising Healthcare and Pharmaceutical Expenditures within the United States
By Rahul Sharma
This paper studies the impact of aging on rising healthcare and pharmaceutical expenditures in the United States with the goal of contextualizing the future burden of public health insurance on the government. Precedent literature has focused on international panels of multiple countries and hasn’t identified significant correlation between age and healthcare expenditures. This paper presents a novel approach of identifying this correlation by using a US sample population to determine if age impacts an individual’s consumption of healthcare services and goods. Results suggest that age has a significant impact on healthcare and pharmaceutical expenditures across private and public insurance.
Advisors: Gilliam D. Saunders-Schmidler and Grace Kim | JEL Codes: H51, H53, I12, I13, I18, I38
