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The relationship between the local option sales tax (LOST) and property taxes and own source revenue is not well documented in the literature. This may be due in part to the aggregated nature of the data, which fails to capture different motivations for adoption of LOSTs. Using county-level data from 35 states, this study finds that LOSTs increase own source revenue and in some circumstances decrease property tax burdens. The primary contribution of this research is that it uses a policy variable, the LOST rate, to distinguish between the two types of counties that use their LOST revenues differently. This research represents the first step in bridging the gap between the LOST literature and the tax mix choice literature.
Governments have always endured economic woes, but the increasing severity of such challenges, from the Great Recession starting in 2008 to the unprecedented impact of the COVID-19 pandemic, highlights the need for better-developed fiscal analysis capacity in governments of all sizes using the most practical—yet robust—techniques available. This volume presents an array of real-world analytical approaches in a variety of service areas at the core of state and local government.