Panel Paper:
Exploration of Slack Flexibilities Within Fiscal Policy Space: An Empirical Analysis of Large American Cities
*Names in bold indicate Presenter
Our research is intended to examine municipal fiscal slack within a newly developed Fiscal Policy Space (FPS) framework (Pagano and Hoene, 2010). The FPS is characterized by cities’ economic base, state and local fiscal structure, political culture, service demands, institutional and legal context that constitute the decision- making constraints on municipal governments, and limit, shape, or provide opportunities for policy choices (e.g., budget and service cut, property tax rate increases, and the use of slack resources) to be made by municipal policy makers. Our empirical analysis links the five attributes of fiscal policy space of municipalities and three measures of fiscal slack to explain the usage of fiscal slack resources by 100 large American cities from 1990s to 2010s. Specifically, this research is interested in exploring the revenue and expenditure decisions with a focus on fiscal slack at city level within a more or less constrained fiscal policy space.
This research estimates the empirical models for 100 large American cities using data from 1992 to 2012 (with five-year intervals) that correspond to exogenous shocks and one period of sustained growth (1997). We test the impact of variables from each attribute of fiscal policy space on three measures of fiscal slack, separately. The three measures of fiscal slack are (a) unreserved general fund balance as a percentage share of total general fund expenditure, (b) the percentage of capital expenditure of total expenditure and (c) general fund debt service expenditure as a percentage of total general fund expenditure. Among the FPS attributes, the state and city fiscal structures are particularly important because they provide or constrain fiscal autonomy and flexibilities to municipalities and hence determine the amount of fiscal reserves and policy choices that can be made by municipal government officials. Specifically, the empirical model will be estimated with the pooled data using fixed effects for years with robust standard errors.