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Economics: Econometric Analysis

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End date: 2016 × Start date: 2016 × Has files: Yes × search.filters.applied.f.isOrgUnitOfPublicationTitle: School of Economics × search.filters.applied.f.resourcesubtype: Undergraduate Research Paper ×

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Now showing 1 - 10 of 17
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Understanding How Unique Attributes Might Affect Poverty

2016-11 , Starbuck, Zachary

The paper starts out noting that poverty has become a major problem for numerous nations. It is argued here that poverty is probably correlated with education and that there are several factors which might have significant correlations with the poverty rate. These factors are coal production, government spending divided by Gross Domestic Product, and male smoking rate. The paper’s literature review consists of two articles focused on coal, one focusing on lung cancer, and another on government expenditures. The multiple regression, linear regression, and summary discuss things such as the history of the model, and key quirks presented in it. Finally, the robustness tests deal with the statistical significance. The end result of this analysis revealed that there is not a strong correlation between these variables.

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Happiness and Traffic: An Analysis of Long Term Effects

2016-11 , Hays, Tanna , Olds, Preston , Spence, John

Traffic has a profound effect on how humans perceive their own happiness. What remains to be seen, however, is whether the short term happiness losses associated with traffic lead to lower overall happiness for people living in areas with consistently high traffic. This paper looks at average traffic delays in major metropolitan cities in the United States and compares these delays to average happiness indices for each city. It is seen that traffic does have a measurable negative effect on a city’s overall happiness, but this effect is very small and does not account for much of the variation in city happiness.

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Effect of GDP Per Capita on National Life Expectancy

2016-11 , Dayanikli, Gokce , Gokare, Varsha , Kincaid, Brian

Using cross sectional data from several sources, this paper seeks to find a correlation between per capita GDP, public health expenditure, and average years of education with the cross country life expectancy as measured at birth. By adding the additional factors, the paper shows that there are underlying issues that affect the overall life expectancy throughout the world. A better understanding, while not all inclusive, will help public officials, aide organizations, and world health policy makers more effectively appropriate resources in an effort to increase global life expectancy.

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Factors Affecting Corruption in Developing and Emerging Countries

2016-11 , Chedraui, Jose Ernesto , Arcaraz, Fernanda , Botero, Andrea

Economic and social indices of a country are becoming increasingly important in explaining a developing and emerging country’s level of corruption. Using a Control of Corruption indicator, explained by GDP per capita, we find evidence for corruption decreasing as GDP per capita increases in a simple regression model. Deeper analysis conducted by including the Human Development Index, and Social Progress Index demonstrates that there exists a stronger correlation between theses variables and corruption. While some variables (such as GDP per capita) lose significance in the multiple regression model, they still have an impact on corruption when regressed together. Consequently, corruption in developing and emerging countries is better explained when including HDI and SPI.

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Income Inequality as a Determinant of Economic Growth: A Cross-Country Analysis

2016-11 , Suwoto, Tiffany , Zhai, Yebo

In this study, we seek to find a relationship between income inequality and economic growth. Despite years of extensive research dedicated to finding a relationship between the two, past studies and existing literature still remain divided on the subject, with some finding a positive relationship and others declaring a negative relationship. This paper examines the effects of inequality on GDP by using data of 225 countries from 2011. Using this data, simple and multiple linear regression models were formed to determine the relationship between the two variables. Through empirical analysis, we found that statistical inference tests supported all variables. This study found a positive relationship between income inequality and economic growth. If further study is pursued, it should consider evaluating countries separately based on whether they are developed or developing, and testing different explanatory variables.

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An Examination of the Economic Effects of the Winter Olympics

2016-11 , Jaramillo, Rebekah , Nicholson, John

The Olympic Games are one of the world’s largest sporting events with millions travelling to watch them in person and tens of millions more watching on television. These staggering figures underlie the debate over the economic benefits of hosting the Games. Much research has been done on the effect of the Summer Olympics but little has been researched on the Winter Games. This paper tests the hypothesis that hosting a Winter Olympic Games yields long term economic benefits which would have otherwise not been realized. Variables examined include population growth, long term unemployment, and 4 year average GDP growth both pre and post Olympics for both host regions and their respective countries. The initial results proved inconclusive.

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Impact of Educational Attainment on Crime in the United States: A Cross-Metropolitan Analysis

2016-11 , Gentry, Brian , Mokkapati, Rishab , Rampersad, Kiran

This study seeks to find a relationship between educational attainment of the population aged 18 years and older, and violent and property crime, in 342 metropolitan areas across the United States. While past studies have researched this relation, they have not done so on a metropolitan scale . Regression models were formed using 2015 data obtained from both the US Census Bureau and the Federal Bureau of Investigation (FBI) . The simple linear regression model found a negative relationship between educational attainment and crime. The more educated a metropolitan population is, the lower its crime levels. Multiple linear regression analyses found that this correlation holds even as other variables are added to the regression. Although this negative correlation is weak, it is still statistically significant.

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Econometric Analysis: Effect of Barriers on Trade

2016-11 , Goerzen, Alexander , Schussler, Brandon , Suriano, Niccolo

In this analysis we seek to investigate the impact of various import tariffs on trade as a percentage of GDP. Members of the World Trade Organization (WTO) set up defined tariffs to help facilitate trade with one another. There are specific guidelines for joining, namely the equitable tariff limits that disallow discrimination among countries. These universal rates allow for a firm investigation into how tariffs affect trade as percent of GDP, because it assists in diminishing the impact of substitutes among countries that are not apart of WTO. After regressing the countries’ average weighted tariff to their trade percentage of GDP it was concluded that there is a negative correlation between a country's import tariff and the amount of total trade as percent of GDP.

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Quality of Public Education based on the State’s Economics

2016-11 , Hill, Matt , McGee, Gabi , Quinones, Morgan

It is proposed that the economic conditions of a state can explain the quality of public education in that state. The GDP per capita, personal income per capita, and poverty levels for each state are observed to evaluate the economic conditions, and an average ranking is observed to determine the quality of education in each state. Both simple and multiple regression analyses are conducted to determine the relationship between the dependent variable and the independent variables. The analysis shows a positive relationship between economic conditions and quality of education in a state.

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Modern Day Evaluation of the Preston Curve: The Relationship Between Life Expectancy and Income

2016-11 , Garcia, Juan , Narvil, Jasper , Oh, Soobin

The Preston Curve has long served as the foundation of global health policy with significant attention given to its implication that income has a causal effect on life expectancy. Our research sets to evaluate this relationship with modern data by incorporating econometric recommendations provided by scholars critical of the curve. We have added two primary extraneous variables into the relationship between life expectancy and income, health and education. Our models also test the role of unemployment and savings in this relationship, although it should be noted that these two specific factors are not the priority of this study. We test the reverse relationship as well, with income being the dependent variable rather than life expectancy. We hypothesize that these changes to the Preston Curve will update its validity and improve its accuracy.

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