Estimating the Scoring Output of National Football League Teams During a Season Using Economic Production Functions

This paper estimates a series of production functions that explain the number of points a National Football League team will score during a season based on six measures of its offensive performance. The models that are estimated are linear and Cobb-Douglas production functions, using data for each team for each season from 2000 to 2018. Additionally, separate production functions are estimated for two sub-periods to determine whether the production functions vary over time and an accuracy check is performed at the end of the paper, where each team’s actual points are compared to its predicted points for the 2018 season

Modeling Unemployment Rates by Race and Gender: A Nonlinear Time Series Approach

This paper presents an unemployment rate model that provides insight into how the time series behavior, in terms of both the mean and volatility, of the unemployment rates of black males, white males, black females, and white females differ. Demographic differences in the unemployment rate response are likely to occur if certain demographic groups face discrimination or if different demographic groups gave differing investments in human capital, for example. In addition, there may be differences in other characteristics of the groups, such as differences in the age of distribution or in the marital status distribution. This paper develops and estimates a model to determine whether or not differences in unemployment rate volatility among demographic groups actually exist, utilizing an ARCH-class (autoregressive conditional heteroscedasticity) model. The findings suggest that conditional variance is symmetric for white females, black females, and black males, but is asymmetric for white males. In particular, the findings indicate that innovations increase the conditional volatility changes in each group's unemployment rate and have symmetric effects for all groups except white males.

A County by County Analysis of Poverty in the State of Georgia

The state of Georgia has one of the highest poverty rates of all the states in the United States. This study examines the causes of poverty in Georgia, using county-level data. The state of Georgia is one of the largest states in the Southeastern U.S. and is very diverse in terms of its mix of metropolitan and non-metropolitan counties, and its mix of agricultural and non-agricultural counties. The major focus of the paper is determining the effect that demographic, educational attainment, labor force, government assistance, and transportation characteristics of a county have on its poverty rate. The major findings of this paper are that counties located in Metropolitan Statistical Areas (MSA) have a much lower poverty rate than the state average, micropolitan statistical areas and counties that’re classified in neither an MSA or a micrpolitan statistical area. Counties that have a higher black population also have a higher poverty rate when holding all else constant. Attempts to reduce the poverty rate should consider increasing educational attainment, shying away from encouraging Retail Trade jobs from entering counties, encouraging the creation of more commuter zones and boosting the per capita net earnings of the county

Principles of Microeconomics (GA Southern)

This Grants Collection for Principles of Microeconomics was created under a Round Eight ALG Textbook Transformation Grant. Affordable Learning Georgia Grants Collections are intended to provide faculty with the frameworks to quickly implement or revise the same materials as a Textbook Transformation Grants team, along with the aims and lessons learned from project teams during the implementation process. Documents are in .pdf format, with a separate .docx (Word) version available for download. Each collection contains the following materials: Linked Syllabus Initial Proposal Final Reporthttps://oer.galileo.usg.edu/business-collections/1006/thumbnail.jp

The Unintended Effects of AACSB\u27s 2003 Accreditation Standards

The AACSB recently adopted new accreditation guidelines that are less restrictive regarding what constitutes qualified faculty for accreditation purposes. The new standards are less restrictive, with less emphasis on a terminal degree and more on faculty being fully participating. However, the new standard may have a detrimental effect on the quality of collegiate business education. It may also reduce the standing and prestige of business schools within the university community. Finally, it may reduce the value of AACSB accreditation

Fluctuations in State-Level Monthly Unemployment Rates: A Descriptive Analysis of the Effect of Geographic Location and U.S. Unemployment Rates

This study examines fluctuations in state-level monthly unemployment rates from January 1976 to December 2016, a period of 492 months. Using data from the Bureau of Labor Statistics (BLS) Local Area Unemployment Statistics series, patterns in the monthly seasonally adjusted unemployment rates of the 50 states and the District of Columbia are examined. The study focuses on two unemployment-related issues. First, the relationship between a state’s unemployment rate and the U.S. unemployment rate is examined. Second, we explore the extent to which a state’s geographic location, using Census regions and Census divisions, affects its monthly unemployment rate

The Effect of Relative Economic Performance on the Outcome of Gubernatorial Elections

This article was published in Public Choice. This study finds that one of the most important determinants of election outcomes in gubernatorial elections is the voter\u27s familiarity with the candidates. When an incumbent governor seeks re-election, his party\u27s share of the vote increases by about 7.3 percentage points, ceteris paribus. Likewise, when a former candidate represents the opposition party, the incumbent party\u27s share of the vote decreases by about three percentage points, ceteris paribus. The electoral history of the state also has a significant effect on the share of the vote received by the incumbent party. The major finding of this study is that state economic conditions exert only a weak influence on the outcome of gubernatorial elections. Assuming that voters are rational, a major implication of this finding is that voters do not view a governor as being able to substantially influence a state\u27s economy. If, during a gubernatorial campaign, voters view the candidates as having little or no control over the state economy they will evaluate candidates on the basis of non-economic positions. The results of this study seem to imply that the outcomes of gub ernatorial elections are determined primarily by non-economic factors. Factors such as candidate personality and positions on a wide variety of non-economic issues that voters deem important appear to be the major determinants of gubernatorial election outcomes

Election Outcomes and Economic Conditions: An Application of a Logit Model

In this paper the author examines the impact of macroeconomic conditions on the probability of the incumbent party winning a gubernatorial election. Using a sample of 265 gubernatorial elections held during the 1970–1988 period, the findings of this study indicate that the incumbent party’s probability of victory is not significantly affected by either state or national macroeconomic conditions. The author also finds that neither the unemployment rate nor per capita income growth affect the incumbent party’s probability of winning an election

The Role of Region-Specific Institutionalized Cultural Characteristics on Income Inequality in the American South: The Case of Georgia’s Plantation Belt

The Role Of Region-Specific Institutionalized Cultural Characteristics On Income Inequality In The American South: The Case Of Georgia\u27S Plantation Belt Abstract: Numerous studies have attempted to determine which factors affect income inequality in a given region. These factors relate to the demographic, economic, educational, and labor force characteristics of the region. One factor that has largely been ignored in the previous literature, however, is the effect of long-established, region-specific institutionalized social and cultural characteristics. By estimating the effect of a county\u27s location in Georgia\u27s Plantation Belt, a region whose historical and economic development differs substantially from the rest of the state, this paper addresses the role that these institutionalized cultural characteristics play in the determination of income inequality in the state of Georgia. The results indicate that while demographic, economic, educational, and labor force characteristics significantly affect income inequality in Georgia, income inequality is greatest in the Plantation Belt counties. In addition, the racial composition of a county has a much weaker effect on income inequality in Plantation Belt counties than in those counties located outside the Plantation Belt