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Full-Text Articles in Econometrics

Choice Flexibility And Long-Run Cooperation, Gabriele Camera, Jaehong Kim, David Rojo Arjona Mar 2023

Choice Flexibility And Long-Run Cooperation, Gabriele Camera, Jaehong Kim, David Rojo Arjona

ESI Working Papers

Understanding how incentives and institutions help scaling up cooperation is important, especially when strategic uncertainty is considerable. Evidence suggests that this is challenging even when full cooperation is theoretically sustainable thanks to indefinite repetition. In a controlled social dilemma experiment, we show that adding partial cooperation choices to the usual binary choice environment can raise cooperation and efficiency. Under suitable incentives, partial cooperation choices enable individuals to cheaply signal their desire to cooperate, reducing strategic uncertainty. The insight is that richer choice sets can form the basis of a language meaningful for coordinating on cooperation.


Failed Secular Revolutions: Religious Belief, Competition, And Extremism, Jean-Paul Carvalho, Jared Rubin, Michael Sacks Mar 2023

Failed Secular Revolutions: Religious Belief, Competition, And Extremism, Jean-Paul Carvalho, Jared Rubin, Michael Sacks

ESI Working Papers

All advanced economies have undergone secular revolutions in which religious belief and institutions have been subordinated to secular forms of authority. There are, however, numerous examples of failed secular transitions. To understand these failures, we present a religious club model with endogenous entry and cultural transmission of religious beliefs. A spike in the demand for religious belief, due for example to a negative economic shock, induces a new and more extreme organization to enter the religious market and exploit the dissatisfaction of highly religious types with the religious incumbent. The eect is larger where institutional secularization is more advanced, for …


Bubble Testing Under Polynomial Trends, Xiaohu Wang, Jun Yu Mar 2023

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 …


Hypothesis Testing Via Posterior-Test-Based Bayes Factors, Yong Li, Nianling Wang, Jun Yu, Yonghui Zhang Mar 2023

Hypothesis Testing Via Posterior-Test-Based Bayes Factors, Yong Li, Nianling Wang, Jun Yu, Yonghui Zhang

Research Collection School Of Economics

Hypothesis testing via p-value has been criticized in recent years. Bayes factors (BFs) have been tipped as a possible replacement of p-value for hypothesis testing. However, the standard BFs suffer from some theoretical and practical difficulties. For example, they are not well defined under improper priors and are subject to Jeffreys-Lindley-Bartlett’s paradox under vague priors. Moreover, they are difficult to compute for many models. In this paper, we propose to compare sampling distributions of the posterior-test-based statistics for hypothesis testing. Two posterior-test-based BFs are constructed from the posterior version of the likelihood ratio test and the Wald test, respectively. Under …


Competing Social Influence In Contested Diffusion: Luther, Erasmus And The Spread Of The Protestant Reformation, Sascha O. Becker, Steven Pfaff, Yuan Hsiao, Jared Rubin Feb 2023

Competing Social Influence In Contested Diffusion: Luther, Erasmus And The Spread Of The Protestant Reformation, Sascha O. Becker, Steven Pfaff, Yuan Hsiao, Jared Rubin

ESI Working Papers

The spread of radical institutional change does not often result from one-sided pro-innovation influence; countervailing influence networks in support of the status quo can suppress adoption. We develop a model of multiple and competing network diffusion. To apply the contested-diffusion model to real data, we look at the contest between Martin Luther and Desiderius Erasmus, the two most influential intellectuals of early 16th-century Central Europe. Whereas Luther championed a radical reform of the Western Church that broke with Rome, Erasmus opposed him, stressing the unity of the Church. In the early phase of the Reformation, these two figures utilized influence …


An Experimental Test Of Algorithmic Dismissals, Brice Corgnet Jan 2023

An Experimental Test Of Algorithmic Dismissals, Brice Corgnet

ESI Working Papers

We design a laboratory experiment in which a human or an algorithm decides which of two workers to dismiss. The algorithm automatically dismisses the least productive worker whereas human bosses have full discretion over their decisions. Using performance metrics and questionnaires, we find that fired workers react more negatively to human than to algorithmic decisions in a broad range of tasks. We show that spitefulness exacerbated this negative reaction. Our findings suggest algorithms could help tame negative reactions to dismissals.


The Methodology Of Multiple Regressions For Gdp Per Capita For Nations In The World Between 0 Ce And 1940, Robert Rogers Jan 2023

The Methodology Of Multiple Regressions For Gdp Per Capita For Nations In The World Between 0 Ce And 1940, Robert Rogers

The Journal of Economics and Politics

A reduced-form model of GDP per capita is estimated using the classical econometric method and two Bayesian techniques, Extreme Bounds Analysis (EBA) and Bayesian Analysis of Classical Estimation (BACE) for the two millenniums. For several variables, such as the impact of colonialism, the Goldstone hypothesis of efflorescence increasing economic growth, and the impact of technology, this paper lends support, especially when the Bayesian methods are applied. Other results are mixed. Generally, the results support use of Bayesian methods by eliminating hypotheses that are not consistently supported over all models.


Association Between Low Health Literacy And Adverse Health Behaviors In North Carolina, 2016, Manan Roy, Adam Hege, Erin D. Bouldin Jan 2023

Association Between Low Health Literacy And Adverse Health Behaviors In North Carolina, 2016, Manan Roy, Adam Hege, Erin D. Bouldin

Journal of Appalachian Health

Introduction: Health literacy (HL) is an urgent public health challenge facing the U.S. HL is a critical factor in health inequities and exacerbates underlying social determinants of health.

Purpose: This study assesses the association between low HL (LHL) and adverse health behaviors, which contribute to poor health.

Methods: Researchers used North Carolina’s 2016 Behavioral Risk Factor Surveillance System data, namely, the Health Literacy optional module which asks respondents to rate how difficult it is for them to get health-related advice or to understand medical information (verbal or written). Health behaviors analyzed were excessive alcohol consumption, lack of adequate exercise and …


A Forestry Trade Data Discrepancy Analysis, Morgan Alyce Daigle Jan 2023

A Forestry Trade Data Discrepancy Analysis, Morgan Alyce Daigle

LSU Master's Theses

Trade data across multiple databases experience unavailability across some countries/forestry products, inconsistency, and unreliability; and these qualities manifest as discrepancies in the data. Literature provides evidence of discrepancies and inconsistencies within international trade statistics, including documented cases in which they are present within agriculture sector trade.

While researchers have worked to pinpoint factors to explain discrepancies, studies on the forestry trade databases are not as prevalent. Therefore, more research needs to be conducted to identify discrepancies within forest sector products trade data to understand the nature of discrepancies found between different bilateral trading partners.

The goal of this thesis is …


Effects Of The Raising The Minimum Legal Purchasing Age For Tobacco On Cigarette, Cocaine And Inhalant Consumption, Ahmed Adil Jan 2023

Effects Of The Raising The Minimum Legal Purchasing Age For Tobacco On Cigarette, Cocaine And Inhalant Consumption, Ahmed Adil

Theses and Dissertations

Over the past few years, several states have passed laws that increase the minimum legal purchasing age (MLPA) for tobacco from 18 to 21 years. This study examines the impact of statewide MLPA laws on youth tobacco consumption. Using data from the 2009-2019 Youth Risky Behavior Surveys (YRBS) and a difference-in-differences approach, I find that the enactment of MLPA laws is associated with a decrease in tobacco usage among adolescents. I also find that MLPA laws have important spillover effects to other youth risky behaviors. MLPA law adoption is associated with a reduction in cocaine use and inhalant abuse.


The Paycheck Protection Program's Effect On Real Estate Prices, Someswar Amujala Jan 2023

The Paycheck Protection Program's Effect On Real Estate Prices, Someswar Amujala

CMC Senior Theses

This paper investigates the relationship between the Paycheck Protec- tion Program (PPP) and real estate price increases. The Paycheck Protection Program was established by the Small Business Association in 2020 to pro- vide forgivable loans to businesses to aid with potential losses from COVID- 19 impacts. I leverage zip code level data across the United States and a fixed effects panel data model to quantitatively measure the PPP’s influence on housing and rental prices. I find a positive and significant relationship between the number of PPP loans disbursed and housing and rental rates. Specifically, a 1% change in the number …


Application Of Sentiment Analysis And Machine Learning Techniques To Predict Daily Cryptocurrency Price Returns, Edward Wu Jan 2023

Application Of Sentiment Analysis And Machine Learning Techniques To Predict Daily Cryptocurrency Price Returns, Edward Wu

CMC Senior Theses

This paper examines the effects of social media sentiment relating to Bitcoin on the daily price returns of Bitcoin and other popular cryptocurrencies by utilizing sentiment analysis and machine learning techniques to predict daily price returns. Many investors think that social media sentiment affects cryptocurrency prices. However, the results of this paper find that social media sentiment relating to Bitcoin does not add significant predictive value to forecasting daily price returns for each of the six cryptocurrencies used for analysis and that machine learning models that do not assume linearity between the current day price return and previous daily price …


Impact Of Demand For H1b Visas In The Us On The Performance Of Listed Indian Firms, Jayaditya Shekhar Maliye Jan 2023

Impact Of Demand For H1b Visas In The Us On The Performance Of Listed Indian Firms, Jayaditya Shekhar Maliye

CMC Senior Theses

This thesis examines the relationship between Indian firm performance and the demand for H1B visas in the US. To test this relationship, a fixed effects model has been used on a panel dataset of 104 Indian firms listed on the Bombay Stock Exchange (BSE) and National Stock Exchange of India (NSE) over the period 2009 to 2021. The results show that an increase in H1B visa demand is negatively and significantly associated with Indian firm performance. These findings suggest that the US’s demand for high skilled labor overseas has consequences for firms in the home country.


Impact Of Recessions And The Business Cycle On Altruism, Nicolas De Mello Jan 2023

Impact Of Recessions And The Business Cycle On Altruism, Nicolas De Mello

CMC Senior Theses

I examine how recessions and the business cycle impact the time individuals allocate to altruism, using American Time Use Survey data from 2002-2019. The aim of the paper was to create a measure of altruism to explore changes in attitudes towards charity and altruism instead of the financial ability to do so. Additionally, I want to understand how economic shocks, such as recessions, impact behaviors and habits across the US population. Using ordinary least squares and the Tobit model, I created two models to capture both changes during and after recessionary periods. The first model is a regression of individuals’ …


Renewable Portfolio Standards: Effectiveness And Carbon Implications, Alexander S. Albrecht Jan 2023

Renewable Portfolio Standards: Effectiveness And Carbon Implications, Alexander S. Albrecht

CMC Senior Theses

A renewable portfolio standard (RPS) policy is a popular regulatory tool implemented within the U.S. and abroad to limit energy sector emissions and incentivize renewable energy. Assessing their effectiveness and efficiency is a key component of achieving further reductions. We assess an energy market under an RPS using fixed-effects panel and 2SLS regression models to lend empirical credence to common theory-based concerns about RPS policy, namely (1) that they leave emissions unregulated once the RPS requirement is met and (2) that they do not incentivize full use of renewable energy resources. Our results show these to be valid concerns that …


Can Digital Finance Promote Low-Carbon Transition? Evidence From China, Xing Ge, Tomoki Fujii Jan 2023

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.


Endogenous Political Legitimacy: The Tudor Roots Of England’S Constitutional Governance, Avner Greif, Jared Rubin Jan 2023

Endogenous Political Legitimacy: The Tudor Roots Of England’S Constitutional Governance, Avner Greif, Jared Rubin

ESI Working Papers

This paper highlights the importance of endogenous changes in the foundations of legitimacy for political regimes. Specifically, it highlights the central role of legitimacy changes in the rise of constitutional monarchy in England. It first highlights the limitations of the consensus view regarding this transition, which claims that Parliament’s military power enabled it to force constitutional monarchy on the Crown after 1688. It then turns to define legitimacy and briefly elaborates a theoretical framework enabling a historical study of this unobservable variable. The third and primary section substantiates that the low-legitimacy, post-Reformation Tudor monarchs of the 16th century promoted Parliament …


Alternative Approaches To Labor Values Andprices Of Production: Theory And Evidence, Deepankar Basu, Athanasios Moraitis Jan 2023

Alternative Approaches To Labor Values Andprices Of Production: Theory And Evidence, Deepankar Basu, Athanasios Moraitis

Economics Department Working Paper Series

In this paper, we discuss three approaches to estimating classical prices of production(long run equilibrium prices) in both a circulating capital model and a model that includes capital stock: the Standard Interpretation of Marx’s value theory, the New Interpretation of Marx’s value theory, and the Sraffian approach to prices of production. We add two refinements to both models: (a) allowing for differential wages rates across industries; and(b) taking account of unproductive industries in labor value calculations. We implement(a) the circulating capital models using harmonized input-output data from the World Input Output Database for 37 countries for the period 2000–2014, and …


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 Jan 2023

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.


Retail Pharmacies And Drug Diversion During The Opioid Epidemic, Aljoscha Janssen, Xuan Zhang Jan 2023

Retail Pharmacies And Drug Diversion During The Opioid Epidemic, Aljoscha Janssen, Xuan Zhang

Research Collection School Of Economics

This study investigates the role of retail pharmacy ownership in the opioid epidemic. Using data of prescription opioid orders, we show that compared with chain pharmacies, independent pharmacies dispense 39.1% more opioids and 60.5% more OxyContin. After an independent pharmacy becomes a chain pharmacy, opioid dispensing decreases. Using the OxyContin reformulation, which reduced non-medical demand but not the legitimate medical demand, we show that at least a third of the difference in the amount of OxyContin dispensed can be attributed to non-medical demand. We show that differences in competitive pressure and whether pharmacists own the pharmacy drive our estimates.


A Classical Model Of Speculative Asset Price Dynamics, Sabiou M. Inoua, Vernon L. Smith Dec 2022

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 Dec 2022

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 Dec 2022

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 …


Optimal Nonparametric Range-Based Volatility Estimation, Tim Bollerslev, Jia Li, Qiyuan Li Dec 2022

Optimal Nonparametric Range-Based Volatility Estimation, Tim Bollerslev, Jia Li, Qiyuan Li

Research Collection School Of Economics

We present a general framework for optimal nonparametric spot volatility estimation based on intraday range data, comprised of the first, highest, lowest, and last price over a given timeinterval. We rely on a decision-theoretic approach together with a coupling-type argument to directly tailor the form of the nonparametric estimator to the specific volatility measure of interest and relevant loss function. The resulting new optimal estimators offer substantial efficiency gains compared to existing commonly used range-based procedures.


A General Test For Functional Inequalities, Jia Li, Zhipeng Liao, Wenyu Zhou Dec 2022

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.


Predictive Mind Reading From First And Second Impressions: Better-Than-Chance Prediction Of Cooperative Behavior, Eric Schniter, Timothy W. Shields Dec 2022

Predictive Mind Reading From First And Second Impressions: Better-Than-Chance Prediction Of Cooperative Behavior, Eric Schniter, Timothy W. Shields

ESI Working Papers

Could cooperation among strangers be facilitated by adaptations that use sparse information from first and second impressions to accurately predict cooperative behavior? If so, does more of this information lead to more accurate predictions? We hypothesize that predictions are influenced by stereotypes, descriptions, appearance, and contextualized behavioral history available for first and second impressions. We also hypothesize that predictions improve when more information is available. We conducted a two-part study. First, we recorded thin-slice videos of university students just before their choices in a repeated Prisoner’s Dilemma (PD) with matched partners. Second, a worldwide sample of raters evaluated each player …


Variation And Efficiency Of High-Frequency Betas, Congshan Zhang, Jia Li, Viktor Todorov, George. Tauchen Dec 2022

Variation And Efficiency Of High-Frequency Betas, Congshan Zhang, Jia Li, Viktor Todorov, George. Tauchen

Research Collection School Of Economics

This paper studies the efficient estimation of betas from high-frequency return data on a fixed time interval. Under an assumption of equal diffusive and jump betas, we derive the semiparametric efficiency bound for estimating the common beta and develop an adaptive estimator that attains the efficiency bound. We further propose a Hausman type test for deciding whether the common beta assumption is true from the high-frequency data. In our empirical analysis we provide examples of stocks and time periods for which a common market beta assumption appears true and ones for which this is not the case. We further quantify …


Financial Crisis And Female Entrepreneurship: Evidence From South Korea, Jungho Lee, Sunha Myong Dec 2022

Financial Crisis And Female Entrepreneurship: Evidence From South Korea, Jungho Lee, Sunha Myong

Research Collection School Of Economics

We document a drastic increase in female-owned manufacturing firms in South Korea after the 1997 financial crisis. A major banking sector reform was conducted during the crisis, and many underperforming bank branches were forced to close down. We find that more female-owned firms were created in areas where more bank branches were closed during the reform. We present evidence that male-owned firms were preferred by closed-down bank branches, despite femaleowned firms exhibiting lower risks and higher returns. The banking sector reform, although not explicitly aimed at addressing gender disparities, substantially benefited female entrepreneurs by improving efficiency in the financial market.


Contingent Payments In Procurement Interactions - Experimental Evidence, Matthew J. Walker, Jason Shachat, Lijia Wei Nov 2022

Contingent Payments In Procurement Interactions - Experimental Evidence, Matthew J. Walker, Jason Shachat, Lijia Wei

ESI Working Papers

A chief objective of creating competition among suppliers is the procurement of higher quality goods and services at lower prices. When procuring non-standard goods, it is often difficult to write a complete specification of desired quality in the contract. A moral hazard arises when this quality is costly and determined by the supplier ex post to contracting. In an effort to mitigate this moral hazard, we introduce a correlated contingent payment contract. This contract is awarded through competitive bidding. The winning supplier’s payment is, according to a fixed probability, either the amount of their bid or a quality contingent amount …


Data Supplement To 'H. Keith Hunt On Consumer Behavior: Understanding His Contribution', Laura Egan, David Aron Nov 2022

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

Datasets

Includes the data, data collection procedures, and data notes for the bibliometric analysis components of "H. Keith Hunt on Consumer Behavior: Understanding His Contribution.” The study uses an ego-centered bibliometric analysis method developed by Howard White to examine the impact of H. Keith Hunt on the field of consumer behavior. Ego-centered analysis is based on social network analysis where the social network modes are the citation identity, citation image, citation image-makers, and co-authors of an author studied. The data files address each of these aspects and the top consumer behavior journals used for the citation image portion of the data …