Bryant University

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    Tupper Trot

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    Global Cryptocurrency Use, Corruption, and the Shadow Economy: New Insights Into the Underlying Linkages

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    The recent prevalence of digital currencies has challenged policymakers as they try to control the supply of money and rein in clandestine activities. Corruption and shadow economy are widely prevalent illegal/unobserved activities that have been hard to eliminate worldwide. These longstanding and entrenched activities have possibly found a new avenue to thrive and evade detection/punishment. So disentangling the nexus between corruption, shadow economy, and digital currencies is important. Using recent cross-country data, this paper analyzes the interrelationships between corruption, shadow economy, and cryptocurrencies. We argue that a large underground sector in a nation provides a mechanism through which corrupt government officials use cryptocurrencies to conceal their unauthorized earnings. Employing formal mediation analysis, our results show that the positive nexus between corruption and cryptocurrency adoption is mediated by the shadow sector. Quantitatively speaking, three-fourths of the correlation between corruption and cryptocurrency usage is mediated by the shadow economy. The primary implication of our findings is that effective monitoring of cryptocurrencies should pay attention to policies to control both corruption and the shadow economy

    Mr. Truhart

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    At Beaver Pond, Singing Whispered Songs

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    Do You Want to Do Bad Things to Me?

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    Suburban Guerilla

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    Identity Hand Map

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    The Causal Nexus Between Government Expenditure on Education and Individual Savings Behavior in Argentina

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    This paper investigates the possibility of interdependence between education and savings by looking at the relationship between a country’s government expenditure on education and the saving rate. Public education expenditure has been studied as an explanatory variable for economic growth, but similar studies determining its impact on household savings behavior are lacking. This research looks to determine Granger Causality using the Vector Error Correction Model between this measure of the quality of education and savings rate for Argentina. The results show bidirectional causality between the savings rate and government expenditure on education, as well as unidirectional causality with government expenditure on education to inflation and savings on unemployment

    A Panel Data Analysis of the Effect of Corruption and Macroeconomic Factors on Inequality and Poverty in Latin America

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    This paper investigates how a country’s income inequality and poverty are affected by corruption, and other economic indicators. The study’s purpose is to find which countries harbor corruption that causes more inequality and poverty and if high or low levels of macroeconomic factors, like unemployment for example, cause an increase in inequality/poverty as well. The panel data will include 11 countries located in Latin America and it will cover a ten-year period (2012-2021). After running six regressions, the results showed there were some differences from other papers. It was found that certain countries exhibit unique challenges that contribute to their distinct levels of inequality. Therefore, there is no set rule on how to deal with inequality and poverty

    How UNSDGs are Reflected in Folklore

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    This paper investigates the relationship between the United Nation’s Sustainable Development Goals in a country and the prevalence of those goals in that country’s folklore. The study incorporates folklore collected into an aspect-based sentiment analyzer to examine the prevalence of, and attitude towards various aspects of the text. A combination of ConceptNet and the widely available Natural Language Toolkit is implemented to retrieve polarity scores related to key aspects of the texts. The results indicate that there are correlations between the attitude towards a theme in folklore, and the attitudes towards that theme in a country. JE

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