2013
DOI: 10.1111/lsq.12016
|View full text |Cite
|
Sign up to set email alerts
|

Do Term Limits Restrain State Fiscal Policy? Approaches for Causal Inference in Assessing the Effects of Legislative Institutions

Abstract: Scholars of state politics are often interested in the causal effects of legislative institutions on policy outcomes. For example, during the 1990s a number of states adopted term limits for state legislators. Advocates of term limits argued that this institutional reform would alter state policy in a number of ways, including limiting state expenditures. We highlight a number of research design issues that complicate attempts to estimate the effect of institutions on state outcomes by addressing the question … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
25
0

Year Published

2015
2015
2022
2022

Publication Types

Select...
9

Relationship

1
8

Authors

Journals

citations
Cited by 33 publications
(25 citation statements)
references
References 40 publications
0
25
0
Order By: Relevance
“…These results provide suggestive evidence that cost-benefit analysis may be the strongest driver of decreased external influence on agency regulatory policymaking, which is consistent with the notion that the greater complexity involved in cost-benefit analysis may afford agencies greater informational advantages vis-à-vis elected political officials and increased opportunity to use conceptual power to their advantage. 26 One cannot make an unqualified assertion that this relationship is causal, however, because of the difficulties in assessing the causal impacts of institutions using regression-based methods (Keele et al 2013). For instance, as one anonymous reviewer pointed out, there is the possibility of reverse causality with states that do not have much control over agencies introducing regulatory analysis requirements in order to exert more control.…”
mentioning
confidence: 99%
“…These results provide suggestive evidence that cost-benefit analysis may be the strongest driver of decreased external influence on agency regulatory policymaking, which is consistent with the notion that the greater complexity involved in cost-benefit analysis may afford agencies greater informational advantages vis-à-vis elected political officials and increased opportunity to use conceptual power to their advantage. 26 One cannot make an unqualified assertion that this relationship is causal, however, because of the difficulties in assessing the causal impacts of institutions using regression-based methods (Keele et al 2013). For instance, as one anonymous reviewer pointed out, there is the possibility of reverse causality with states that do not have much control over agencies introducing regulatory analysis requirements in order to exert more control.…”
mentioning
confidence: 99%
“…Similarly, Uppal and Glazer (2015) find that the adoption of term limits increases the amount of spending for capital-intensive projects (e. g. constructing a rail line). Further, Keele, Malhotra, and McCubbins (2013) find little evidence that term limits affect state government spending by applying a case-synthetic method. In short, the literature on legislative term limits leaves us with an important puzzle: How and why does the adoption of legislative term limits affect government spending?…”
Section: Introductionmentioning
confidence: 93%
“…Synthetic case control is one of several options for estimating causal effects. It is particularly useful for examining the effects of institutions, economic shocks, or other interventions on large, aggregated units, such as countries, regions, or states (e.g., Abadie, Diamond, and Hainmueller ; Abadie and Gardeazabal ; Keele, Malhotra, and McCubbins ). The objective is to create an untreated “synthetic” version of a treated case through a weighted combination of the control cases in a “donor pool.” It is unlikely that any single untreated legislator or state is a useful comparison for a treated case, but a combination of several control cases may provide such a counterfactual.…”
Section: Estimating the Causal Effect Of Public Financingmentioning
confidence: 99%
“…In this case we generate synthetic versions of Arizona and Maine from the pool of states that did not implement state legislative public financing programs during this period. 27 We use the following covariates in the construction of the synthetic cases from states without public financing (data sources in parentheses): the average distance between any two legislators (a "party-free" measure of polarization, see Shor and McCarty 2011), state citizen ideology, state citizen ideological extremity, and state government ideology (Berry et al 1998), legislative professionalism (Squire 2007), US Census data on state income, unemployment, population, population density, amount of federal grants, and gross state product (Keele, Malhotra, and McCubbins 2013), and indicators for divided government, Democratic party control, closed-primary states, regions, and term limits. 28…”
Section: State-level Analysismentioning
confidence: 99%