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This dissertation establishes a national exploration into the subnational fiscal policies of the United States at the county level of government. This dissertation begins a dialog about county fiscal practices and examines budget stabilization policies of county governments across the country and studies how county governments are codifying the action of setting funds aside for use during times of need. The study moves from the descriptive analysis of counties and explore quantitatively the effects of county government general fund balances and reserve practices over time and documents the reserves, revenue and expenditures of 43 counties across the United States over a five-year period, fiscal years 2012-2016 and utilizes a panel data, fixed-effects model taking into account the political, policy and service-bundles of the counties. Finally, the use of cash rather than debt for capital expenditures also known as pay-as-you-go (PAYGO) is explored through a case study of Maricopa County, Arizona. It examines the theoretical question of intergenerational equity in the funding of capital assets. The study examines Maricopa County's technical, administrative and political pillars of PAYGO, analyzing the financial and budget documents as well as presentation materials given in public meetings regarding the economic and financial condition of both the county government and the county.
ContributorsFlick, Angie (Author) / Reilly, Thomas (Thesis advisor) / Miller, Gerald J (Committee member) / Singla, Akheil (Committee member) / Arizona State University (Publisher)
Created2018
Description
Government revenue forecasting errors have become larger, especially in exceptional times such as the periods surrounding economic recessions. Inaccurate revenue estimates stem from unanticipated revenue increases or decreases from a previous trend. Unfortunately, current forecasting methods relying primarily on trend analysis do not incorporate these kinds of sudden changes easily. When revenue punctuations occur, the revenue forecasting errors increase.
To reduce forecasting errors caused by revenue punctuations in government revenue collections, I argued that analysts must not dismiss outliers as extraneous or useless phenomena. My research revealed an approach to incorporate outliers or punctuations into revenue forecasting. First, this research studied the criterion for judging the appearance of revenue punctuations using state governments’ quarterly collections of the five largest taxes from 1977 to 2016. Second, the research explored the patterns of these revenue punctuations, specifically the relationship between the changes in dollar amount and the amount of time from one revenue punctuation to another.
Inspired by the few statistical techniques for identifying outliers, this research applied the studentized residuals method to detect the revenue punctuations. The result revealed that all five tax categories for each state have revenue punctuations, except Motor Fuels Tax in the state of Tennessee.
Furthermore, this research disclosed that while not all the states and all the tax categories have statistically significant relationships between the depth and length of revenue punctuations, some states still have valid relationships. For the states that have statistically significant relationships, a forecaster, knowing depth, could calculate length and vice versa. Thus, the forecasting errors caused by revenue punctuations could be reduced when the protocols my research identified are used.
To reduce forecasting errors caused by revenue punctuations in government revenue collections, I argued that analysts must not dismiss outliers as extraneous or useless phenomena. My research revealed an approach to incorporate outliers or punctuations into revenue forecasting. First, this research studied the criterion for judging the appearance of revenue punctuations using state governments’ quarterly collections of the five largest taxes from 1977 to 2016. Second, the research explored the patterns of these revenue punctuations, specifically the relationship between the changes in dollar amount and the amount of time from one revenue punctuation to another.
Inspired by the few statistical techniques for identifying outliers, this research applied the studentized residuals method to detect the revenue punctuations. The result revealed that all five tax categories for each state have revenue punctuations, except Motor Fuels Tax in the state of Tennessee.
Furthermore, this research disclosed that while not all the states and all the tax categories have statistically significant relationships between the depth and length of revenue punctuations, some states still have valid relationships. For the states that have statistically significant relationships, a forecaster, knowing depth, could calculate length and vice versa. Thus, the forecasting errors caused by revenue punctuations could be reduced when the protocols my research identified are used.
ContributorsWang, Dan, Ph.D (Author) / Miller, Gerald J (Thesis advisor) / Lan, Gerald, Zhiyong (Committee member) / Wilson, Jeffery R (Committee member) / Arizona State University (Publisher)
Created2018