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Category Archives: J11

Tale of Two Cities An Econometric Analysis of East & West Coast Fine Art Galleries

By Daniella Victoria Paretti

Abstract
In a 2021 report published alongside Art Basel and UBS, renowned cultural economist Dr.
Clare McAndrew posited that the value of art sales in 2020 amounted to an impressive $50 billion
(although this actually marks an over 10-year low). It is no secret that the global art markets are
extremely lucrative, attracting the interest of industry magnates and business tycoons alike.
Though it is important to note that art markets are historically quite distinct from their normal good
counterparts — the sector is laden with issues regarding transparency, high barriers to entry, and
hiding of wealth. Amidst the COVID-19 pandemic, however, the tides began to turn; online
platforms for museums, auction houses, and galleries were employed more than ever before,
effectively modernizing the antiquated industry and expanding its reach to new consumers. How
has this trend of digitalization changed and improved art markets? More specifically, how can data
analytics and other technological resources serve the interests of private galleries? Using sales data
from a parent gallery with multiple locations across the United States (each displaying similar
works/artists), I have conducted a number of qualitative and statistical analyses to identify key
differences between the West and East coast locations. In short, the gallery on the West coast sold
more works and at a lower average cost than its counterpart, providing key insights into this local
market’s consumer base. Beyond this, factors like size, medium, and artist gender were found to
have statistically significant effects on the ultimate sale price and turnover rate of works. My
findings suggest that means of data analytics should be utilized by all actors in the art markets to
optimize their approach to business, as well as understand their consumers better than ever before.

Professor Michelle Connolly, Faculty Advisor
Professor Hans Van Miegroet, Faculty Advisor

JEL classification: Z11, C10, J11, O33

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Withdrawal: The Difficulty of Transitioning to a Cashless Economy

By Praneeth Kandula

Abstract
In 2021, modern payment methods such as mobile pay have increased nearly fivefold since their introduction in 2015. This shift to an increasingly cashless, digital economy has been marked by inequitable financial and technological divides. Historically, Black and Latino adults have had less access to financial systems and are less likely to own traditional computers and home broadband. Without rectifying these issues, a cashless, digital economy only serves to widen divides. Using data from the Diary of Consumer Payment, this study descriptively examines the use of cash and alternative payment methods by different racial and ethnic groups from 2015 through 2020. I also extend this effort to address the effects of COVID-19. I find that racial differences not only exist but also the gap between Black and Latino adults and White adults grows between 2015 and 2019. Still, this paper finds that in 2020 the likelihood to employ cash for a transaction falls for Black adults but not for Latino adults. COVID-19 has been a critical driver of change, forcing both consumers and corporations to shift to a more digital-centric economy. While there have been positive shifts for Black adults, policy ensuring that all racial groups have access to the necessary financial and digital networks will be critical in establishing an equitable economy moving forward.

Professor Lisa A. Gennetian, Faculty Advisor
Professor Michelle P. Connolly, Faculty Advisor

JEL Classification: D1 D31 G20 I24 J11

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The Russian Maternity Capital Policy: Two Models

By Jackson Cooksey

Abstract
Between 1991 and 2007 the Russian Federation experienced a decrease in population
and a drop in total fertility rate below population replacement levels. In 2007 the
government, citing the importance of forestalling this decline, implemented the Russian
Maternity Capital Policy, a one-time subsidy to those families who have a second or
higher order birth. Study aims to analyze the impact of this policy on the total fertility
rate of the Russian Federation to better understand post-Soviet trends in fertility and
gain insight into how effective similar policies will be in the future if implemented
elsewhere. This study uses two models to assess the policy. First, a novel difference-indifference-
in-difference model is developed to add to existing literature on the policy.
Second, a synthetic control model is developed generate a counterfactual to measure
causal effects of the policy on total fertility rate in Russia. Difference-in-difference-indifference
estimations show the policy having a 0% to 3.5% positive effect on fertility,
and the synthetic control model results show that the policy had a large impact on
fertility in the mid-2010s but this change has declined since 2019.

Professor Charles Becker, Faculty Advisor

JEL Classification: J, J1, J11, J12, J13

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Where You Live and Where You Move: A Cross-City Comparison of the Effects of Gentrification and How these Effects Are Tied to Racial History

By Divya Juneja   

This thesis compares the effects of gentrification on school and air quality in ten cities to see whether cities with larger amounts of white flight post-World War II exhibited worse gentrification effects on renters. I find that renters in high white flight cities more consistently experience school quality downgrades—likely attributed to moving from gentrifying neighborhoods to worse neighborhoods. High white flight meant widespread de-investment across neighborhoods which could have lowered the school quality experienced by displaced renters. Gentrification did not consistently affect air quality in any way related to white flight, meaning confounding variables could have influence.

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Advisors: Professor Christopher Timmins, Professor Alison Hagy | JEL Codes: R2, R3, J11

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.

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Advisors: Professor Suzanne Shanahan, Professor Michelle Connolly | JEL Codes: D73, D78, F22, H12, J11, J15, K37, O52

ICT Behavior at the Periphery: Exploring the Social Effect of the Digital Divide through Interest in Video Streaming

By Erik W. Hanson and Justin C. LoTurco

We investigate the factors that influence changes in consumer behavior with regard to video streaming. We focus our analysis on the effect of bandwidth impairment to explore a potential consequence of the digital divide. To measure the change in relative popularity of video streaming services, we use Google Trends data as a proxy. We then investigate whether broadband speed improvements in rural vs. urban regions affect the proxy differently. We find that increasing the broadband speeds in rural regions appears to stimulate greater interest in video streaming than equivalent speed increases in urban regions.

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Advisors: Professor Michelle Connolly, Professor Grace Kim | JEL Codes: C33; J11; L96

Economic Racism: A Look at Rental Prices in 1930

By Basel Fakhoury

The Great Migration caused massive demographic changes in Northeastern and Midwestern cities as African Americans moved from the South to the North. These changes led to economic discrimination and segregation within northern cities. This paper compares African American and white rental prices in four major cities: Chicago, Detroit, New York City, and Philadelphia in an effort to see how this discrimination and segregation affected rental prices. The results consistently show that in the most precise geographic area, prices rise as the concentration of blacks in those neighborhoods rise, which I believe is a result of overcrowding.

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Advisor: Patrick Bayer | JEL Codes:  J1, J11, J15, R31 | Tagged: Economic Discrimination, Housing Markets, Segregation, The Great Migration

Questions?

Undergraduate Program Assistant
Matthew Eggleston
dus_asst@econ.duke.edu

Director of the Honors Program
Michelle P. Connolly
michelle.connolly@duke.edu