The Effects Of Pre-Abortion Restrictions On Women's Well-Being,
2024
CUNY Hunter College
The Effects Of Pre-Abortion Restrictions On Women's Well-Being, Reesa Sooklall
Theses and Dissertations
Eleven states require women seeking abortions to undergo mandated ultrasounds prior to the procedure while twenty-four states require women to wait either 24, 48 or 72 hours between receiving state mandated counseling and the procedure. I examine the effects of abortion restrictions on health behaviors and health care of women. I apply staggered difference-in-differences to the Behavioral Risk Factor Surveillance System data to estimate the causal effects of the two-trip mandatory waiting period (MWP) law and mandatory ultrasounds (MUS) law on women’s mental health, use of alcohol and tobacco, and whether women are obtaining routine mammograms and pap smears. The …
Effects Of The Automatic Enrollment Provision Of The Pension Protection Act Of 2006 On Labor Market Outcomes Of Older Americans,
2024
CUNY Hunter College
Effects Of The Automatic Enrollment Provision Of The Pension Protection Act Of 2006 On Labor Market Outcomes Of Older Americans, Yannis Giannoulakis
Theses and Dissertations
The objective of the Pension Protection Act of 2006 is to protect pension plans, reinforce individual savings and prepare Americans for retirement. A provision of the act strengthens the 1998-2000 IRS ruling that allows firms to automatically enroll their employees in 401(k) plans by superseding state written permission requirements. Prior to the Pension Protection Act of 2006, several states required written permission from employees to authorize wage deductions and 401(k) enrollments. Single-event difference-in-difference regressions estimate the effects of the Pension Protection Act of 2006’s auto-enrollment provision on labor market outcomes in states that had written permission requirements in the years …
Specifying And Estimating Vector Autoregressions Using Their Eigensystem Representation,
2024
Singapore Management University
Specifying And Estimating Vector Autoregressions Using Their Eigensystem Representation, Leo Krippner
Sim Kee Boon Institute for Financial Economics
This article introduces the principles and mechanics of the eigensystem vector autoregression (EVAR) framework, where a VAR may be specified and estimated directly via its eigenvalue and eigenvector parameters. Using explicit constraints on the eigensystem permits control of a VAR ís allowable dynamics, which is illustrated empirically with standard and time-varying VAR estimations specified to be always non-explosive.
Llms Can’T Be Trusted For Financial Advice,
2024
Pomona College
Llms Can’T Be Trusted For Financial Advice, Gary N. Smith
Pomona Economics
ChatGPT and other large language models (LLMs) do not understand the text they input and output. When three prominent LLMs were tested with 11 financial-decision prompts, the LLM responses were seemingly authoritative but riddled with arithmetic and critical-thinking mistakes. Financial planners are unlikely to be replaced by LLMs anytime soon.
Essays On High-Frequency Financial Econometric,
2024
Singapore Management University
Essays On High-Frequency Financial Econometric, Qiyuan Li
Dissertations and Theses Collection (Open Access)
This dissertation consists of three papers contributing to the theory of estimation and inference of high-frequency financial data. In the second chapter, a general framework is introduced for optimal nonparametric spot volatility estimation based on intraday range data, comprised of the first, highest, lowest, and last prices over a given time interval. Employing a decisiontheoretic approach together with a coupling-type argument, the form of the nonparametric estimator is directly tailored to the specific volatility measure of interest and the relevant loss function. The resulting new optimal estimators offer substantial efficiency gains compared to existing commonly used range-based procedures. The third …
The Demotechnic Index Of Nations (1980 - 2018) And Its Correlation With The Human Development Index (1990 – 2021),
2024
University of Arkansas, Fayetteville
The Demotechnic Index Of Nations (1980 - 2018) And Its Correlation With The Human Development Index (1990 – 2021), Camden Rainwater
Graduate Theses and Dissertations
The Demotechnic Index (DI) and the Human Development Index (HDI) are both useful metrics for assessing the development of nations, with each providing unique insights about a country’s standard of living. The DI, which uses energy consumption as a gauge, excels in capturing the impact of conflicts and economic disruptions. Additionally, its ability to be calculated based on different energy sources allows for evaluation of a nation's progress towards sustainable consumption patterns. Conversely, the HDI combines healthcare, education, and income dimensions, and uses them as a proxy that highlights human health crises, educational improvements, and economic growth, albeit with less …
Exploring Diversity, Discrimination, And Performance Dynamics,
2024
University of Arkansas, Fayetteville
Exploring Diversity, Discrimination, And Performance Dynamics, George Agyeah
Graduate Theses and Dissertations
This dissertation utilizes empirical and experimental approaches to investigate the multifaceted factors that affect decision-making in economic contexts. The three chapters place a particular focus on group affiliation, perceived discrimination, and the gender gap in entrepreneurship. The first chapter explores the impact of team diversity on economic decision-making within a dynamic context. Through a series of laboratory experiments involving participants randomly assigned to teams, the study examines how team diversity influences individual behavior and performance. Results indicate that team diversity significantly affects individual behavior, with newcomers being particularly influenced by the diversity of the team they join. The findings underscore …
Essays On Weak Identification,
2024
Singapore Management University
Essays On Weak Identification, Dennis Guo Wei Lim
Dissertations and Theses Collection (Open Access)
This dissertation presents a comprehensive examination of inference techniques for weak instrumental variable (IV) models, crucial in addressing endogeneity and bias in econometric analyses. Comprising two interconnected chapters, the research explores innovative methodologies to enhance the reliability and robustness of IV regression estimations. Chapter 1 is concerned with maximizing the power of tests in the many weak IVs setting. This is done by introducing a novel approach that considers a linear combination of jackknife Anderson-Rubin (AR), jackknife Lagrangian multiplier (LM), and orthogonalized jackknife
LM tests for inference in IV regressions with many weak instruments and heteroskedasticity. Following I. Andrews (2016), …
Better The Devil You Know: Improved Forecasts From Imperfect Models,
2024
Singapore Management University
Better The Devil You Know: Improved Forecasts From Imperfect Models, Dong Hwan Oh, Andrew John Patton
Research Collection School Of Economics
Many important economic decisions are based on a parametric forecasting model that is known to be good but imperfect. We propose methods to improve out-of-sample forecasts from a misspecified model by estimating its parameters using a form of local M estimation (thereby nesting local OLS and local MLE), drawing on information from a state variable that is correlated with the misspecification of the model. We theoretically consider the forecast environments in which our approach is likely to offer improvements over standard methods, and we find significant forecast improvements from applying the proposed method across four distinct empirical analyses including volatility …
New York Camp Econometrics Xviii Program,
2024
Syracuse University
New York Camp Econometrics Xviii Program, Center For Policy Research
Camp Econometrics-Programs
No abstract provided.
Jargon To Jackpot: The Financial Impact Of Infusing Pop Culture References In Social Media,
2024
Ursinus College
Jargon To Jackpot: The Financial Impact Of Infusing Pop Culture References In Social Media, Madelynn Solow
Business and Economics Honors Papers
This research explores the impact of incorporating pop culture references in a company's Twitter feed on the company's stock price. Pop culture is integral to people's everyday lives, providing a sense of familiarity and fun between individuals. Many companies have started leveraging pop culture references on social media platforms like Twitter to establish a relatable and engaging connection with diverse consumer demographics. The primary purpose of this research is to investigate whether this strategy is beneficial within the stock market. It is hypothesized that incorporating pop culture references on Twitter can lead to increased sales and higher stock prices, as …
Cooperation In Temporary Partnerships,
2024
Chapman University
Cooperation In Temporary Partnerships, Gabriele Camera, Alessandro Gioffré
ESI Working Papers
The literature on cooperation in infinitely repeated Prisoner’s Dilemmas covers the extreme opposites of the matching spectrum: partners, a player’s opponent never changes, and strangers, a player’s opponent randomly changes in every period. Here, we extend the analysis to settings where the opponent changes, but not in every period. In these temporary partnerships, players can deter some deviations by directly sanctioning their partner. Hence, relaxing the extreme assumption of one-period matchings can support some cooperation also off equilibrium because a class of strategies emerges that are less extreme than the typical “grim” strategy. We establish conditions supporting full …
Global Coffee Production,
2024
Wright State University
Global Coffee Production, Payton Herres
Student Papers in Local and Global Regional Economies
This study aims to provide a comprehensive understanding of the many factors that influence global coffee production, with a particular focus on weather conditions, land area, labor force, and human capital. By exploring these multifaceted aspects, this research aims to provide valuable insights for stakeholders in the coffee industry, policymakers, and researchers. This research explores patterns, calculations, and causal relationships that shape the dynamics of coffee production worldwide through a rigorous analysis of weather variables, including temperature and rainfall, along with assessments of land area, labor dynamics, and human capital. Furthermore, the research aims to illuminate the complex interplay between …
Community And Regional Economic Analysis: Unveiling Economic Dynamics With The Location Quotient Method And Beyond,
2024
University of Nebraska-Lincoln
Community And Regional Economic Analysis: Unveiling Economic Dynamics With The Location Quotient Method And Beyond, Daniela M. Mattos
Cornhusker Economics
In addition to the Location Quotient analysis, several other economic development analytical tools can contribute valuable insights to investment decisions, such as population-employment ratios and shift-share analysis. The use concomitant of these tools boosts the information provided by the Location Quotient analysis, offering a more holistic perspective. Recognizing that each analytical tool provides only a partial view, it is essential not to rely solely on one method when making investment decisions. Comprehensive decision-making necessitates leveraging multiple tools to gain a more nuanced and accurate understanding of local economies.
Optimizing Nba Roster Construction,
2024
Syracuse University
Optimizing Nba Roster Construction, Nick R. Riccardi
Sport Management - All Scholarship
This study aims to quantify the effect that complementary player types have on team success in the National Basketball Association. Using cluster analysis, player-seasons are redefined from their traditional basketball positions to better encompass the roles that players play. For the 10 seasons of data, the best player for each of the 30 teams in the league is determined and teams are grouped based on the cluster of their best player. Ordinary Least Squares regressions are performed to test what player types fit together best. The results of this study show the importance of complementary workers to a firm’s success.
Salary Distribution And Winning Percentage: A Panel Data Analysis Of The National Football League,
2024
Bryant University
Salary Distribution And Winning Percentage: A Panel Data Analysis Of The National Football League, Matthew Susich
Honors Projects in Mathematics and Economics
This paper analyzes the effect of player salary distribution, as well as other external and internal factors, on regular season win percentage of teams in the National Football League (NFL) over the past four seasons. The conclusions from this study were drawn from regression analysis of NFL salary data over the past four seasons (2019-2023). Player salaries were collected and condensed into twenty independent variables. These independent variables along with 8 control variables were regressed against regular season win percentage. The results indicate the greater total expenditure, a greater salary spread (range and variance), and greater salaries for the highest …
Uniform Nonparametric Inference For Spatially Dependent Panel Data,
2024
Singapore Management University
Uniform Nonparametric Inference For Spatially Dependent Panel Data, Jia Li, Zhipeng Liao, Wenyu Zhou
Research Collection School Of Economics
This article proposes a uniform functional inference method for nonparametric regressions in a panel-data setting that features general unknown forms of spatio-temporal dependence. The method requires a long time span, but does not impose any restriction on the size of the cross section or the strength of spatial correlation. The uniform inference is justified via a new growing-dimensional Gaussian coupling theory for spatio-temporally dependent panels. We apply the method in two empirical settings. One concerns the nonparametric relationship between asset price volatility and trading volume as depicted by the mixture of distribution hypothesis. The other pertains to testing the rationality …
Wild Bootstrap Inference For Instrumental Variables Regressions With Weak And Few Clusters,
2024
Singapore Management University
Wild Bootstrap Inference For Instrumental Variables Regressions With Weak And Few Clusters, Wenjie Wang, Yichong Zhang
Research Collection School Of Economics
We study the wild bootstrap inference for instrumental variable regressions under an alternative asymptotic framework that the number of independent clusters is fixed, the size of each cluster diverges to infinity, and the within cluster dependence is sufficiently weak. We first show that the wild bootstrap Wald test controls size asymptotically up to a small error as long as the parameters of endogenous variables are strongly identified in at least one of the clusters. Second, we establish the conditions for the bootstrap tests to have power against local alternatives. We further develop a wild bootstrap Anderson–Rubin test for the full-vector …
Housing Markets Since Shapley And Scarf,
2024
Singapore Management University
Housing Markets Since Shapley And Scarf, Mustafa Oguz Afacan, Gaoji Hu, Jiangtao Li
Research Collection School Of Economics
Shapley and Scarf (1974) appeared in the first issue of the Journal of Mathematical Economics, and is one of the journal’s most impactful publications. As we approach the remarkable milestone of the journal’s 50th anniversary (1974–2024), this article serves as a commemorative exploration of Shapley and Scarf (1974) and the extensive body of literature that follows it.
Hiv Estimation Using Population Based Surveys With Non-Response: A Partial Identification Approach,
2024
Singapore Management University
Hiv Estimation Using Population Based Surveys With Non-Response: A Partial Identification Approach, Oyelola A Adegboye, Tomoki Fujii, Denis H. Y. Leung, Siyu Li
Research Collection School Of Economics
HIV estimation using data from the Demographic and Health Surveys (DHS) is lim-ited by the presence of non-response and test refusals. Conventional adjustments such as imputation require the data to be missing at random. Methods that use instrumental variables allow the possibility that prevalence is different between the respondents and non-respondents, but their performance depends critically on the validity of the instru-ment. Using Manski’s partial identification approach, we form instrumental variable bounds for HIV prevalence from a pool of candidate instruments. Our method does not require all candidate instruments to be valid. We use a simulation study to evaluate and …
