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Essays On Random Social Choice Theory, Soumyarup Sadhukhan Dr. 2021 Indian Statistical Institute

Essays On Random Social Choice Theory, Soumyarup Sadhukhan Dr.

Doctoral Theses

The thesis covers an extreme point characterization of strategy-proof and unanimous probabilistic rules over binary restricted domains. It shows that every strategy-proof and unanimous probabilistic rule on a binary restricted domain has binary support, and is a probabilistic mixture of strategy-proof and unanimous deterministic rules. Examples of binary restricted domains are single-dipped domains, which are of interest when considering the location of public bads. We also provide an extension to infinitely many alternatives. It also discusses that a random rule on a top-connected single-peaked domain is unanimous and strategy-proof if and only if it is a random min-max rule. As …


Cost Countries Pay For High Homicide Rates, Brittany Lowe 2021 University of Louisville

Cost Countries Pay For High Homicide Rates, Brittany Lowe

Grawemeyer Colloquium Papers

This research finds the economic cost, in terms of GDP per capita, to countries for increased violence using typical econometric models, and then makes recommendations to decision makers about funding allocation of violence prevention programs based off its findings.


The Feasibility Of Renewable Natural Gas In New Jersey, Anneliese Dyer, Amelia Christine Miller, Brianna Chandra, Juan Galindo Maza, Carley Tran, Justin Bates, Vicky Olivier, Amy Tuininga 2021 Fairleigh Dickinson University

The Feasibility Of Renewable Natural Gas In New Jersey, Anneliese Dyer, Amelia Christine Miller, Brianna Chandra, Juan Galindo Maza, Carley Tran, Justin Bates, Vicky Olivier, Amy Tuininga

PSEG Institute for Sustainability Studies Publications

With traditional natural gas being one of the top options for heating in the United States and the present threat of climate change, there is a demand for an alternative clean fuel source. A Renewable Natural Gas Implementation Decision-Making Conceptual Model was created to provide a framework for considering the feasibility of renewable natural gas (RNG) projects and applied to New Jersey, specifically investigating landfills and wastewater treatment plants (WWTPs). Data from the US EPA’s Landfill Methane Outreach Program and New Jersey’s Department of Environmental Protection Sewage Sludge databases were used to identify seven landfills and 22 WWTPs as possible …


Identifying Latent Group Structures In Nonlinear Panels, Wuyi WANG, Liangjun SU 2021 Jinan University - China

Identifying Latent Group Structures In Nonlinear Panels, Wuyi Wang, Liangjun Su

Research Collection School Of Economics

We propose a procedure to identify latent group structures in nonlinear panel data models where some regression coefficients are heterogeneous across groups but homogeneous within a group and the group number and membership are unknown. To identify the group structures, we consider the order statistics for the preliminary unconstrained consistent estimators of the regression coefficients and translate the problem of classification into the problem of break detection. Then we extend the sequential binary segmentation algorithm of Bai (1997) for break detection from the time series setup to the panel data framework. We demonstrate that our method is able to identify …


A Class Of N-Player Colonel Blotto Games With Multidimensional Private Information, Christian Ewerhart, Dan Kovenock 2021 University of Zurich

A Class Of N-Player Colonel Blotto Games With Multidimensional Private Information, Christian Ewerhart, Dan Kovenock

ESI Working Papers

In this paper, we study N-player Colonel Blotto games with incomplete information about battlefield valuations. Such games arise in job markets, research and development, electoral competition, security analysis, and conflict resolution. For M ≥ N + 1 battlefields, we identify a Bayes-Nash equilibrium in which the resource allocation to a given battlefield is strictly monotone in the valuation of that battlefield. We also explore extensions such as heterogeneous budgets, the case M ≤ N, full-support type distributions, and network games.


Economics Students: Self-Selected In Preferences And Indoctrinated In Beliefs, Antonio M. Espín, Manuel Correa, Alberto Ruiz-Villaverde 2021 Chapman University

Economics Students: Self-Selected In Preferences And Indoctrinated In Beliefs, Antonio M. Espín, Manuel Correa, Alberto Ruiz-Villaverde

ESI Working Papers

There is much debate as to why economics students display more self-interested behavior than other students: whether homo economicus self-select into economics or students are instead “indoctrinated” by economics learning, and whether these effects impact on preferences or beliefs about others’ behavior. Using a classroom survey (n>500) with novel behavioral questions we show that, compared to students in other majors, econ students report being: (i) more self-interested (in particular, less compassionate or averse to advantageous inequality) already in the first year and the difference remains among more senior students; (ii) more likely to think that people will be unwilling …


Institutions And Opportunistic Behavior: Experimental Evidence, Antonio Cabrales, Irma Clots-Figueras, Roberto Hernán-González, Praveen Kujal 2021 Universidad Carlos III de Madrid

Institutions And Opportunistic Behavior: Experimental Evidence, Antonio Cabrales, Irma Clots-Figueras, Roberto Hernán-González, Praveen Kujal

ESI Working Papers

Risk mitigating institutions have long been used by societies to protect against opportunistic behavior. We know little about how they are demanded, who demands them or how they impact subsequent behavior. To study these questions, we run a large-scale online experiment where insurance can be purchased to safeguard against opportunistic behavior. We compare two different selection mechanisms for risk mitigation, the individual and the collective (voting). We find that, whether individual or collective, there is demand for riskmitigating institutions amongst high-opportunism individuals, while low-opportunism individuals demand lesser levels of insurance. However, high-opportunism individuals strategically demand lower insurance institutions when they …


The Determinations Of Public Trust In The Government Of Egypt: An Empirical Study, Mohamed Elimam 2021 The American University in Cairo AUC

The Determinations Of Public Trust In The Government Of Egypt: An Empirical Study, Mohamed Elimam

Theses and Dissertations

Trust is a concept that is usually studied in the context of social interactions. At varying levels, we trust our families and friends, we trust strangers who share some traits with us and even trust institutions like banks with our savings and to handle our personal finances. By expansion, political trust, or the public's trust in government as a whole and as individual agencies. Trust in government forms a basis for the legitimacy. High levels of political trust facilitates the implementation of policies with more willing compliance from the public. This is more evident in situations like global and national …


In-Group Versus Out-Group Preferences In Intergroup Conflict: An Experiment, Subhashish M. Chowdhury, Anwesha Mukherjee, Roman M. Sheremeta 2021 University of Bath

In-Group Versus Out-Group Preferences In Intergroup Conflict: An Experiment, Subhashish M. Chowdhury, Anwesha Mukherjee, Roman M. Sheremeta

ESI Working Papers

Individuals participating in a group conflict have different preferences, e.g., maximizing their own payoff, maximizing the group’s payoff, or defeating the rivals. When such preferences are present simultaneously, it is difficult to distinctly identify the impact of those preferences on conflict. In order to separate in-group and out-group preferences, we conduct an experiment in which human in-group or out-group players are removed while keeping the game strategically similar. Our design allows us to study (i) how effort in a group conflict vary due to in-group and out-group preferences, and (ii) how the impact of these preferences vary when the two …


The Effect Of Attendance On Home Field Advantage In The National Football League: A Natural Experiment, Justin Ehrlich, Joel Potter, Shane Sanders 2021 Syracuse University

The Effect Of Attendance On Home Field Advantage In The National Football League: A Natural Experiment, Justin Ehrlich, Joel Potter, Shane Sanders

Sport Management - All Scholarship

While economists have previously noted that home field advantage is affected by crowd density, isolating this effect is difficult since crowd size is likely endogenous with team ability and game matchup. The COVID-19 pandemic has presented a unique natural experiment since local governments have introduced safety protocols that varies widely across the United States. These safety protocols have limited attendance in varying ways for live sporting events, including National Football League games. Given the differential (and exogenous) attendance restrictions, we were able to isolate three broad categories of attendance: 1) games without attendance restrictions (seasons 2016-2019), 2) games with limited …


Foreign Direct Investment And Economic Growth: A Panel Data Analysis, Yuan Yao 2021 Bryant University

Foreign Direct Investment And Economic Growth: A Panel Data Analysis, Yuan Yao

Empirical Economic Bulletin, An Undergraduate Journal

This paper investigates the influences of FDI on economic growth of selected Latin American and Asian countries both directly and indirectly through factors such as technology, knowledge transfer, and trade openness. The study uses the growth regression to examine and identify not only the relationship between the FDI and economic growth of the underlying countries but also the interaction effects of FDI with human capital and trade openness on the economic growth based on the statistical performance of the interaction terms in the model. The evidence from the study shows that FDI does have an impact on economic growth both …


Star Player Bias In The Nba: A Quantile Regression Approach, Daniel Barrett 2021 Bryant University

Star Player Bias In The Nba: A Quantile Regression Approach, Daniel Barrett

Empirical Economic Bulletin, An Undergraduate Journal

This paper examines the impact of an NBA player’s salary on the number of fouls drawn by them in a season. NBA referees have complete discretion in making calls of whether a player does or does not commit a foul in game, with decisions susceptible to bias, favoring certain players with more fouls called in their favor than another player. The study uses salary to determine a player’s value, using a panel dataset of all players from the 2015-16 NBA season through the 2018-19 NBA season for salary and game statistics. The impact of salary is determined using a quantile …


Trade Liberalization And Economic Performance: An Empirical Analysis, Brandon Fontaine 2021 Bryant University

Trade Liberalization And Economic Performance: An Empirical Analysis, Brandon Fontaine

Empirical Economic Bulletin, An Undergraduate Journal

Trade liberalization has long been a debated topic; free traders will argue it makes all involved parties more prosperous while protectionists say that it costs jobs and hurts countries’ economies. This paper will study the relationship between a country’s trade freedom, as measured by the Heritage Foundations trade openness metrics, and the nation’s economic performance. This study will incorporate indicators such as gross domestic product, unemployment, and investment flows across 56 countries of different income levels to determine whether free trade policies lead to greater economic performance. The three income levels analyzed will be high-income, medium-income, and low-income. The empirical …


The Effect Of Poor Working Conditions And Income Inequality On Gdp Growth, Trent Remillard 2021 Bryant University

The Effect Of Poor Working Conditions And Income Inequality On Gdp Growth, Trent Remillard

Empirical Economic Bulletin, An Undergraduate Journal

This paper looks to see if there is a relationship between poor working conditions and growth in GDP annually. Many nations have historically treated their workers very poorly, and offered little in support or protection to them. Consequently, many of these same nations have seen large boosts in annual GDP growth. This paper aims to see if there is a correlation between this treatment of workers, and these subsequent boosts of GDP growth, and if there is, is it possible to predict the expected level of growth based on these factors.


Macroeconomic Drivers Of Reit Stock Prices, Nicholas Mulligan 2021 Bryant University

Macroeconomic Drivers Of Reit Stock Prices, Nicholas Mulligan

Empirical Economic Bulletin, An Undergraduate Journal

This paper investigates several variables as potential drivers of REIT stock performance. The results show that four of the six independent variables, all of positively correlated ones, were significant. The combination of variables proved to be very predictive, yielding an R-squared of 0.9712. The two variables that were added in this study versus the benchmark Morgan Stanley study proved to be highly significant. The two negatively correlated variables proved to be insignificant.


Quality Analysis Of Lift Ticket Prices In The United States Using Logistic Regression, Jared Murphy 2021 Bryant University

Quality Analysis Of Lift Ticket Prices In The United States Using Logistic Regression, Jared Murphy

Empirical Economic Bulletin, An Undergraduate Journal

This paper investigates the possibility of a relationship between Lift Ticket Prices and quality of resorts in the United States of America. The study incorporates information from a number of past research papers analyzing the price of lift tickets and the individual characteristics of the ski area. In recent years, the price of lift tickets has increased far greater than the rate of inflation. With over 350 companies operating in the industry in the United States, they combine for annual revenue greater than $2 billion. Consumers who enjoy the sport have seen a sharp increase in prices throughout the past …


Economic Determinants Of Within-Country Political Instability And Violence: A Panel Data Examination Of Central And South America, Michael Biskupic 2021 Bryant University

Economic Determinants Of Within-Country Political Instability And Violence: A Panel Data Examination Of Central And South America, Michael Biskupic

Empirical Economic Bulletin, An Undergraduate Journal

This paper examines the potential impact of economic factors on withincountry violence and instability utilizing a panel data approach. More specifically, this paper examines the impact of within-country income inequality on a measure of political stability and a measure of within-country violence. Utilizing a Generalized Least Squares method, this paper finds that only in countries with a per-capita income less than $5000 is there a significant relationship between income inequality and violence. This paper concludes with a discussion of the results, recommendations for future research, and a section on policy recommendations based on the empirical results and potential risks not …


Student Achievement In Rhode Island Charter Schools: A Cross-Sectional Analysis, Edward Golas 2021 Bryant University

Student Achievement In Rhode Island Charter Schools: A Cross-Sectional Analysis, Edward Golas

Empirical Economic Bulletin, An Undergraduate Journal

Using standardized test results from the school year 2018-19 this study compares the performance of 3rd through 8th graders in Rhode Island charter schools to their peers in traditional public schools (TPSs). This study also uses OLS techniques to test if Rhode Island charter schools help to bridge the achievement gap between minority (black and Hispanic) students and white students. The results show that in approximately ¾ of comparable instances, Rhode Island charter schools outperform TPSs on both English and math standardized tests. Additionally, it was found that Hispanic students attending a charter school are predicted to score higher on …


Comparing Machine Learning Techniques For Predicting Bank Failure, Armen Eghian 2021 Bryant University

Comparing Machine Learning Techniques For Predicting Bank Failure, Armen Eghian

Empirical Economic Bulletin, An Undergraduate Journal

The study of machine learning has helped create and refine many types of predictive models. These models have been applied to countless problems, but the importance of banking stability has led many researchers to create models predicting if a bank will be active in future years. Neural networks, support vector machines, and traditional regression models, have been used to predict bank failure, but random forests have not been fully explored. This paper shows random forests can offer prediction power greater than neural networks and logit models when used to predict bank failure. This aligns with work comparing random forests and …


The Relationship Between Transportation Accessibility And Economic Development, Abigail Kiggen 2021 Bryant University

The Relationship Between Transportation Accessibility And Economic Development, Abigail Kiggen

Empirical Economic Bulletin, An Undergraduate Journal

This paper investigates the possible relationship between transportation infrastructure accessibility and economic development in a given region. The study will incorporate data from counties in the state of Massachusetts to compare development from previous studies in the New York area. The independent variable will be transportation infrastructure accessibility, and the dependent variable will be measures of economic development. The results show that there are generally not correlations between better accessibility and economic development in a given region.


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