Econometrics Commons^™

Finding Answers In Gaps: The Relationship Between Drugs And Mexico's Economy, Mariela Centeno

CMC Senior Theses

This paper sets out to understand the economic conditions that paved the way for the evolution and resilience of a powerful and resilient drug economy in Mexico. To do this, I examine the relationship between a proxy for drug movement from Mexico and large economic variables in the country. I use a dataset that incorporates the drug seizures from 1997 to 2022 to understand whether privatization and the resulting rising economic inequalities in Mexico paved the way for a growing drug economy. This paper builds on current literature regarding drug market estimates and drug economy interactions. Using an OLS regression …

Metrics At 8,000 Meters: Determinants Of Summit Success In The Himalayas, Alyssa Gallagher

CMC Senior Theses

This paper examines the determinants of success for individuals summiting 8,000-meter Himalayan peaks from 1995 to 2019. Using binary logistic regressions, this paper presents evidence that a climber’s citizenship is a highly significant determinant of success. Chinese citizens are clear outliers with 192% more odds of success than an American. The success rates related to season, gender, and year all conform with existing research, justifying the robustness of the citizenship trends. Despite controlling for per capita income, the results assert that wealth may not be an important determinant of success and provokes interesting questions as to what factors may influence …

Three Essays In Applied Microeconomics: Philly Style, Alexander Christian Marsella

Graduate Theses, Dissertations, and Problem Reports

My dissertation analyzes several contemporary policy-based and institutional occurrences in an urban setting to help guide further advancements in reducing violence, drug overdose deaths, and other unhealthy behaviors that city governments look to curb. Several recent developments in Philadelphia offer a promising setting for studying policies that have broad implications.

Chapter 1 examines the effect of the West Philadelphia Promise Zone initiative on violent crime rates in a high-crime area of West Philadelphia, where a series of educational, public-safety, and quality-of-life improvement grants were disbursed from 2014 onward. My difference-in-differences analysis with two-way fixed effects and cluster bootstrapped standard errors …

Essays On The Economics Of Law And Crime, Zachary J. Porreca

Graduate Theses, Dissertations, and Problem Reports

The first chapter examines the connection between gentrification and urban violence. I demonstrate a positive and plausibly causal relationship between urban redevelopment and gun violence in Philadelphia. As the underlying mechanism, I focus on gentrification's displacement effect on local drug markets. Treating the city as a spatial network of city blocks and using two-way fixed effects differences-in-differences estimators, I show the gentrification of one block increases violence across the surrounding neighborhood. I find that some 2,400 (8%) of Philadelphia's shootings between the years 2011 and 2020 can be attributed to spillover effects from the gentrification of drug blocks. This effect …

Three Essays On Health And Environmental Economics: Applications Of Spatial Econometrics And Spatial Analysis, Mohammed Syedul Islam

Graduate Theses, Dissertations, and Problem Reports

Spatial interaction and the locational structure between observations play key roles in the field of econometrics for both cross-sectional and panel data analysis. Compared to a non-spatial econometric model, a spatial model relaxes the assumption of independency in observations. This research applies spatial and non-spatial econometrics in three different fields of applied economics: (1) drinking water and air quality violations impacts on lung and bronchus cancer incidence in the contiguous United States (U.S.); (2) spillover effects of non-pharmaceutical interventions (NPIs) on COVID-19 cases across the contiguous U.S. counties; and (3) urbanization impacts on carbon dioxide (CO₂) emissions in …

School Attendance Information Or Conditional Cash Transfer? Evidence From A Randomized Field Experiment In Rural Bangladesh, Tomoki Fujii, Christine Ho, Rohan Ray, Abu S. Shonchoy

Research Collection School Of Economics

Low school attendance remains an important challenge in resource-poor settings with cash and information constraints. We compare conditional cash transfer (CCT) treatments with framing variations (gain and loss) against attendance information treatment as interventions to address these constraints in a unified framework. Our randomized evaluation shows CCT treatments increase attendance by 11 percentage points, about half of which is attributable to attendance information. These treatments improve girls’ academic aspirations and reduce early marriage. Daily CCT set at a quarter of local child wage maximizes attendance impact. We highlight the importance of low-cost information technology to boost attendance sustainably and cost-effectively.

An Analysis On How Housing Status Influences The Gut-Brain-Axis For Populations In And Around The Skid Row Area Of Los Angeles, California, Mauricio Guzman

Pitzer Senior Theses

Over recent years, the “microbiota-gut-brain axis” (MGBA) has garnered significant attention in the scientific community. Specifically, perturbations of the MGBA via stress and dietary intake have been linked to a wide-range of diseases including gastrointestinal diseases, metabolic diseases, mood disorders, and cognitive diseases. However, most studies have been solely conducted on mice models and have yet to consider the more complex, intricate systems that impact the human body. In addition, researchers have yet to consider the populations who may be most susceptible to chronic stress and negative dietary outcomes. Drawing from the fields of medical sociology, non-invasive human biology, and …

Covariate Benchmarking For Sensitivity Analysis When The Confounder Is Correlated With Observed Covariates, Deepankar Basu

Economics Department Working Paper Series

Covariate benchmarking is an important part of sensitivity analysis about omitted variable bias and can be used to bound the strength of the unobserved confounder using information and judgments about observed covariates. It is common to carry out formal covariate benchmarking under the assumption that the unobserved confounder is orthogonal to the observed covariates. This assumption is restrictive and will be difficult to defended in most empirical analyses. In this paper I show that relaxing the orthogo- nality assumption leads to a breakdown of a recently proposed innovative formal covariate benchmarking methodology.

Assessing The Impact Of Financial Obstacles On Manufacturing Firm's Capacity Utilization: Bayesian Approach, Arab Dahir Hassan, Razim Ozcan

The Indonesian Capital Market Review

This study aims to investigate the relationship between financial obstacles and the capacity utilization of manufacturing firms. This study departs from previous studies in the literature by employing Bayesian linear regression analysis. The results demonstrate that financial constraints have a considerable negative effect on the capacity utilization of manufacturing enterprises, but access to credit lines has a positive effect. The sample consists of 1,494 private manufacturing firms in 31 Europe & Central Asian countries. Financial obstacles were perceived as the major impediment to business operations by 65% of the enterprises in the survey. Furthermore, 52% of enterprises in the sample …

A Mixture Autoregressive Model Based On Student’S T–Distribution, Mika Meitz, Daniel Preve, Pentti Saikkonen

Research Collection School Of Economics

A new mixture autoregressive model based on Student’s t–distribution is proposed. A key feature of our model is that the conditional t–distributions of the component models are based on autoregressions that have multivariate t–distributions as their (low-dimensional) stationary distributions. That autoregressions with such stationary distributions exist is not immediate. Our formulation implies that the conditional mean of each component model is a linear function of past observations and the conditional variance is also time-varying. Compared to previous mixture autoregressive models our model may therefore be useful in applications where the data exhibits rather strong conditional heteroskedasticity. Our formulation also has …

Bubble Testing Under Polynomial Trends, Xiaohu Wang, Jun Yu

Research Collection School Of Economics

This paper develops the asymptotic theory of the least squares estimator of the autoregressive (AR) coefficient in an AR(1) regression with intercept when data is generated from a polynomial trend model in different forms. It is shown that the commonly used right-tailed unit root tests tend to favor the explosive alternative. A new procedure, which implements the right-tailed unit root tests in an AR(2) regression, is proposed. It is shown that when the data generating process has a polynomial trend, the test statistics based on the new procedure cannot find evidence of explosiveness. Whereas, when the data generating process is …

Volatility Puzzle: Long Memory Or Antipersistency, Shuping Shi, Jun Yu

Research Collection School Of Economics

The log realized volatility (RV) is often modeled as an autoregressive fractionally integrated moving average model ARFIMA(1, d, 0). Two conflicting empirical results have been found in the literature. One stream shows that log RV has a long memory (i.e., the fractional parameter d > 0). The other stream suggests that the autoregressive coefficient α is near unity with antipersistent errors (i.e., d

Conditional Evaluation Of Predictive Models: The Cspa Command, Jia Li, Zhipeng Liao, Rogier Quaedvlieg, Wenyu Zhou

Research Collection School Of Economics

In this article, we introduce a new command, cspa, that implements the conditional superior predictive ability test developed in Li, Liao, and Quaedvlieg (2022, Review of Economic Studies 89: 843–875). With the conditional performance of predictive methods measured nonparametrically by the conditional expectation functions of their predictive losses, we test the null hypothesis that a benchmark model weakly outperforms a collection of competitors uniformly across the conditioning space. The proposed command can implement this test for both independent cross-sectional data and serially dependent time-series data. Confidence sets for the most superior model can be obtained by inverting the test, for …

Can Digital Finance Promote Low-Carbon Transition? Evidence From China, Xing Ge, Tomoki Fujii

Research Collection School Of Economics

Using panel data of Chinese cities from 2011 to 2019, this paper analyzes the impact of digital finance on low-carbon transition derived from a super-efficiency slacks-based measure data envelopment analysis. We find that digital finance promotes low-carbon transition, and this finding is robust with respect to the choice of sample, potential presence of measurement issue, choice of study period, presence of other policies, and potential endogeneity, among others. This impact is at least in part goes through increased green innovations. We also find evidence for impact heterogeneity across locations and by the level of low-carbon transition.

Earnings Gap Between Urban And Rural Migrant Workers In Vietnam, Kristen Le

Honors Theses

This thesis studies whether there is an earnings disparity between urban and rural migrant workers in Vietnam’s urban areas and whether that earnings gap is due to individual characteristics and human capital levels or other unobserved factors. In this paper, urban workers, or urban residents, are workers who have household registration status in the urban cities where they work. On the other hand, rural migrant workers, or rural-to-urban migrants, are defined as workers who live and work in urban cities but have their registered household statuses in other rural areas. Using the Vietnam Household Living Standard Survey (VHLSS) in 2008, …

Evaluating The Effect Of Nil Laws On College Athletic Department Revenue, Dylan C. Cherullo

Undergraduate Theses, Professional Papers, and Capstone Artifacts

This paper examines the impact of Name, Image, and Likeness (NIL) laws on revenue for public Division I universities' athletic departments, challenging the long-standing debate within the National Collegiate Athletics Association (NCAA). Utilizing panel data from the Knight Commission on College Athletics, which encompasses over 350 public Division I universities from 2002 to 2021, this study employs a difference-in-differences model. The model investigates state-level changes in university athletic department revenue from sponsorships (sponsrev), with special focus on the post-NIL law era. The analysis is bolstered by controls for various factors including ESPN’s FPI data, coach and equipment expenditures, and COVID-19 …

A Classical Model Of Speculative Asset Price Dynamics, Sabiou M. Inoua, Vernon L. Smith

ESI Working Papers

In retrospect, the experimental findings on competitive market behavior called for a revival of the old, classical, view of competition as a collective higgling and bargaining process (as opposed to price-taking behaviors) founded on reservation prices (in place of the utility function). In this paper, we specialize the classical methodology to deal with speculation, an important impediment to price stability. The model involves typical features of a field or lab asset market setup and lends itself to an experimental test of its specific predictions; here we use the model to explain three general stylized facts, well established both empirically and …

H. Keith Hunt On Consumer Behavior: Understanding His Contribution, Laura Egan, David Aron

Librarian Publications

This study uses an ego-centric bibliometric analysis of H. Keith Hunt to elucidate his connection to researchers in the consumer behavior field and his impact on the field. We identified publications written or edited by Hunt using Web of Science, Google Scholar, and the Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior; analyzed Hunt’s co-authors and citations in those works; and tabulated Hunt’s co-cited authors for top consumer behavior journals in Web of Science. Based on the analysis and quotes from his works and others about Hunt, we also identify and discuss dimensions related to Hunt’s impact on the …

A Comparison Of M&T Bank And Citizens Bank Net Income Changes During The Coronavirus Pandemic, Alex R. Glasier

Applied Economics Theses

The COVID-19 pandemic had a tremendous impact on every aspect of life, particularly within the world of banking & finance. All banks saw sharp drops in their stock prices and net income, but my hypothesis is that larger, more established banks maintained more stability during 2020 than smaller banks. This paper analyzes the income statements and balance sheets of M&T Bank (an older, more well-established bank) and Citizens Bank (a less-established bank) during this difficult time.

The first part of my thesis describes similarities and differences between M&T Bank and Citizens Bank. I explain how these similarities and differences may …

A General Test For Functional Inequalities, Jia Li, Zhipeng Liao, Wenyu Zhou

Research Collection School Of Economics

This paper develops a nonparametric test for general functional inequalities that include conditional moment inequalities as a special case. It is shown that the test controls size uniformly over a large class of distributions for observed data, importantly allowing for general forms of time series dependence. New results on uniform growing dimensional Gaussian coupling for general mixingale processes are developed for this purpose, which readily accommodate most applications in economics and finance. The proposed method is applied in a portfolio evaluation context to test for “all-weather” portfolios with uniformly superior conditional Sharpe ratio functions.