2013
DOI: 10.1111/j.1435-5957.2012.00423.x
|View full text |Cite
|
Sign up to set email alerts
|

US state and local fiscal policies and non‐metropolitan area economic performance: A spatial equilibrium analysis

Abstract: Abstract. Faced with declining economic bases, many nonmetropolitan areas increasingly have become concerned about their future economic viability. A crucial dimension of this concern is the balancing of the need to be cost-competitive in terms of lower taxes against the need for provision of valued government services. Using a spatial equilibrium framework, this study econometrically examines the nexus between U.S. state and local fiscal policies and nonmetropolitan county growth in earnings and housing rents… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
22
0

Year Published

2013
2013
2022
2022

Publication Types

Select...
4
2

Relationship

2
4

Authors

Journals

citations
Cited by 16 publications
(22 citation statements)
references
References 41 publications
0
22
0
Order By: Relevance
“…They also have been found to be important in explaining U.S. nonmetropolitan county wage and land rent differentials, in which some policies primarily affect quality of life, while others affect the business climate (Yu and Rickman, 2011).…”
Section: Fiscal Federalism Land Use and Regional Economic Developmentmentioning
confidence: 99%
“…They also have been found to be important in explaining U.S. nonmetropolitan county wage and land rent differentials, in which some policies primarily affect quality of life, while others affect the business climate (Yu and Rickman, 2011).…”
Section: Fiscal Federalism Land Use and Regional Economic Developmentmentioning
confidence: 99%
“…If site characteristics are considered attractive by both households and firms, land rents are higher. Yet, whether wages will be higher or lower depends on whether the firm or household effect dominates (Yu and Rickman, 2013).…”
Section: Theoretical Frameworkmentioning
confidence: 99%
“…Therefore, I create dummy variables using scale [1,2), [2,3), [3,4), [4,5), [5,6), [6,7), [7,9] where the lower bound is included, while the upper bound is not included; the category [7,9] Texas after controlling for numerous potential exogenous sources of growth, which include policy differences between the states. This is in lieu of including policy measures, which may be endogenous, collinear, poorly measured, and difficult to interpret (Yu and Rickman, 2013); use of the dummy variables also fits nicely within the narrative of comparing recent state economic experiences in policy discussions. Tables 1 and 2 Table 1 reports the results across all areas that include both metropolitan and nonmetropolitan areas, while Table 2 reports the corresponding results across nonmetropolitan areas.…”
Section: Second-stage Regressionsmentioning
confidence: 99%
See 2 more Smart Citations