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Economics: Econometric Analysis

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Publication Search Results

Now showing 1 - 10 of 30
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    The Impact of Research and Development Expenditure on Unemployment Rate
    (Georgia Institute of Technology, 2021-12) Jindal, Adit
    Countries often commit to increasing their expenditure on Research and Development (R&D) as a way to boost economic growth and counteract increasing unemployment rates. There exist few independent studies showing the impact of R&D expenditure on economic growth, and even fewer showing impact on the unemployment rate. This study attempts to uncover the relationship between the unemployment rate as a percentage of the labor force (UE) and the R&D expenditure as a percentage of gross domestic product (GERD) by analyzing data from 71 countries. The other explanatory variables that are taken into consideration are the education level (UNDP Education Index), inflation, economic growth (percentage GDP growth), total population, compensation of employees, manufacturing sector’s value added (% of GDP), and service sector’s value added (% of GDP). Further, a time delay of three years has been purposefully added to allow the impact of R&D expenditure to manifest itself and impact the unemployment rate. The R&D data is collected from 2016 and the unemployment rate is collected from 2019. The latest data has not been considered due to the overarching effects of the COVID-19 pandemic. Using both single and multiple linear regression models, a negative correlation was found between the unemployment rate and the R&D expenditure of a country.
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    Relationship between higher education level and GDP per capita of different American States
    (Georgia Institute of Technology, 2021-12) Wang, Heming
    Education has long been considered a vital factor that determines a person’s income level. This paper aims to explore if this effect still exists after being magnified to a state-wide scale, and, if it still does, the extent to which this effect can be observed. The percentage of the population aged 25 or older that are bachelor’s degree holders, by state, is used as a measure of the education level of a state, and this paper attempts to find the relationship between this value and GDP per capita of a state. Furthermore, this paper takes other variables into account, which are unemployment and urban population, to better model the effect of education on GDP per capita.
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    Motherhood and Income Inequality: A Cross-Country Analysis
    (Georgia Institute of Technology, 2021-12) O'Day, Emily
    This paper attempts to analyze the gender wage gap in the United States and other economically developed nations. Despite a significant convergence of the income gap between men and women in the US, recent years have seen a lag in this convergence. This paper aims to specifically see the costs of motherhood on the occupational decisions of women, their career path, and the earning penalties as a result of children. I analyze government-mandated paid maternity leave and new parent protection rights and their impact on income inequality as well as their potential to lessen the gap.
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    Effect of Wage on Household Size
    (Georgia Institute of Technology, 2021-12) Schultz, Miah
    In this analysis, the relationship between household size and wage is investigated. The measure of household size that is used is the number of dependents, because of the economic relationship associated with wage and number of dependents. In the United States, there is an increasing opportunity cost associated with an increasing number of dependents. Time must be allocated between household production, which increases with increasing dependents, and hours worked in the labor force. This analysis attempts to derive the relationship between wage and number of dependents, investigating the proposed negative relationship between income level and household size.
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    The effect of GDP on a country’s CO2 emission
    (Georgia Institute of Technology, 2021-12) Kim, Heecue
    Recently, the interest on the environment has been important. Countries now gather to solve those environmental problems, such as Kyoto Protocol and Paris Agreement. One of the biggest factors that causes the global environmental issues is the emission of carbon dioxide. This paper assesses the impact of a country’s development to the increase of amount of CO2 emission, with hypothesizing that there will be a positive relationship. Single and multiple regression models depict that there are some significant positive relationships between CO2 emission and increase of GDP per capita, meaning that countries tend to emit more CO2 as they seek development.
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    Explaining Vaccination Rates through Economic Factors
    (Georgia Institute of Technology, 2021-12) White, Joshua
    At the time of writing, the COVID-19 Pandemic has dominated most people’s lives throughout the better part of the last two years. This paper seeks to explain hesitancy in vaccination rates among the 50 US states. To do this, we use both a simple and multiple linear regression model to uncover the relationship between median income and the vaccination rate of a state. In my research, I could not find any previous literature that analyzed this relationship, but the results verify previous research into social factors that explain vaccination rates. A positive correlation between median income and vaccination rates is hypothesized and confirmed by this paper.
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    Impact of Public-School Funding on Juvenile Incarceration Rates
    (Georgia Institute of Technology, 2021-12) Manzano, Citlali
    For the past few decades, the United States has had one the highest incarceration rates in the world. With thousands of youths under the age of 18 being in prison, it is important to analyze which form of prevention is more effective in decreasing the juvenile incarceration rate. This paper examines whether an increase in education funding would help decrease the juvenile incarceration rate. Apart from analyzing the impact of federal spending on public schools, this paper also analyzes other explanatory variables such as poverty rates, crime rates, school drop-out rates, and school policies across states. Using data from 2016 to analyze juvenile incarceration rates, other variables were ultimately more impactful than funding to public schools.
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    Affect of Age on Out of Pocket Health Expenditures for Breast Cancer Survivors
    (Georgia Institute of Technology, 2021-12) Cole, Carson
    Medical non-adherence in breast cancer survivors can be attributed to out-of-pocket (OOP) expenditures. A cancer survivor is defined as anyone who has been diagnosed with cancer and is still living. Some prominent variables that affect OOP spending are income, age, weight, ethnicity, etc. The relationship between OOP spending and these variables will be examined using a variety of multi linear regression analysis and their supporting tests. Discovering variables that help us understand why certain survivors pay more per year on health are valuable because we may then be more aware of when a survivor is more likely to be medically non adherent.
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    The Effect of Gross Domestic Product on Environmental Expenditures
    (Georgia Institute of Technology, 2021-12) Wekulom, Apueela
    This paper tests the relationship between the dependent variable environmental expenditures and the independent variable GDP. The study includes observations from 180 countries from around the world. Other independent variables that will be used in this study are carbon emissions, urbanization rate, income level of each observation, status as an OECD member, and Environmental Policy Index. The conclusion from my study is that there is a significant positive relationship between Gross Domestic Product and expenditures on environmental protection. Furthermore, there is a positive correlation with the variables on urbanization rate, countries with OECD membership, high-income level countries, and the Environmental Policy Index. There is a negative correlation with the explanatory variables on carbon emissions and middle-income countries.
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    Understanding the Effects of Income on Housing Prices in the United States of America
    (Georgia Institute of Technology, 2021-12) Eastep, Ryan
    This paper explores the effects of income on housing prices in the United States. Data from the 50 states including the District of Columbia was all collected within a year of each other in order to accurately reflect the metrics as they pertain to every part of the country. It is hypothesized that higher median income in a state would yield higher median housing prices, and for the most part we can conclude there is a significant correlation present. That being said, there are other factors which are shown to have as much if not a more significant impact on housing prices, such as household size, educational attainment, and statewide minimum wage.