Hostname: page-component-6766d58669-88psn Total loading time: 0 Render date: 2026-05-21T11:11:03.971Z Has data issue: false hasContentIssue false

Experience, institutions, and candidate emergence: the political career returns to state legislative service

Published online by Cambridge University Press:  22 April 2022

Joshua McCrain*
Affiliation:
Department of Political Science, University of Utah, Salt Lake City, USA
Stephen D. O'Connell
Affiliation:
Department of Economics, Emory University, Atlanta, USA IZA Institute of Labor Economics, Bonn, Germany
*
*Corresponding author. Email: josh.mccrain@utah.edu
Rights & Permissions [Opens in a new window]

Abstract

More than half of the current members of the US Congress served in their state legislature prior to holding federal office. We quantify the relationship between state legislative service and career progression to Congress. Using close elections for exogenous assignment of political experience across otherwise similar candidates, we show that serving in the state legislature more than doubles an individual's probability of eventually contesting a Congressional seat relative to a similar candidate who lost in a comparable election; it also doubles the individual politician's probability of eventually winning a Congressional seat. State legislatures thus create national politicians out of otherwise marginal political entrants. We then show that the effect of state legislative service on career progression is larger in more professionalized legislatures, highlighting the role of institutions in facilitating political career progression. Our results hold important implications for representation and accountability, and confirm that prevailing institutions can affect political selection via career progression.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of the European Political Science Association
Figure 0

Table 1. Summary statistics

Figure 1

Figure 1. McCrary (2008) density test.Note: Figure reports a depiction of the McCrary (2008) density test. The sample includes all contested elections. The p-value for the test of a discontinuity in the density is 0.984.

Figure 2

Table 2. Test of sorting at the identifying threshold

Figure 3

Figure 2. Regression discontinuity plots: running for and winning house primaries: (a) run in House primary and (b) win House primary.Note: These plots show empirical regression discontinuity plots estimating the effect of winning a state legislature election on running for or winning House primary elections. The fitted lines are second-order polynomials. The x-axis is the fractional vote share margin ranging from − 1 to 1. The plots include 95 percent confidence intervals calculated from a linear regression of the raw data within the optimal bandwidths on each side of the cutoff.

Figure 4

Figure 3. Regression discontinuity plots: running for House seats.Note: This plot shows empirical regression discontinuity plots estimating the effect of winning a state legislature election on ever running in a House general election. The fitted lines are second-order polynomials. The x-axis is the fractional vote share margin. The plots include 95 percent confidence intervals calculated from a linear regression of the raw data within the optimal bandwidths on each side of the cutoff.

Figure 5

Figure 4. Regression discontinuity plots: winning general elections, win House general election, win any general.Note: These plots show empirical regression discontinuity plots estimating the effect of winning a state legislature election on winning a House election and winning any general (house or Senate) election. The fitted lines are second-order polynomials. The x-axis is the fractional vote share margin ranging from − 1 to 1. The plots include 95 percent confidence intervals calculated from a linear regression of the raw data within the optimal bandwidths on each side of the cutoff.

Figure 6

Table 3. Effect of state legislative service on career progression to Congressional candidacy and representation

Figure 7

Figure 5. Congressional candidacy and representation across expanding time horizons: (a) run in House election, (b) win House election, (c) run in House election and (d) win House election.Note: These plots display the coefficients from regression discontinuity estimates of the same form as above, along with 95 percent confidence intervals. In the top two figures, each outcome is an indicator of whether an individual runs for higher office given a certain opportunity to do so. For example, the third opportunity would represent their third congressional election while in state legislative office, and the probability is cumulative across those three opportunities. In the bottom two panels, the probability of running is plotted within a given window of opportunity. Instead of a cumulative probability, it is the probability that a candidate will run in their third term, not by their third term, for instance.

Figure 8

Figure 6. Model results by number of previous legislative terms served.Note: Figure depicts coefficient estimates and 95 percent confidence intervals for the estimation of Equation 1 for separate samples based on the number of previous terms served and the outcomes defined in the legend.

Figure 9

Figure 7. Correlation of state legislative professionalism and upward candidacy.The x-axis is the Bowen and Greene (2014) professionalism index and the y-axis is the proportion of state legislative candidates that ever run for a congressional office.

Figure 10

Table 4. Effect of state legislative service interacted with state legislative professionalism

Figure 11

Table 5. Effect of state legislative service interacted with state revolving door legislation

Supplementary material: Link

McCrain and O'Connell Dataset

Link
Supplementary material: PDF

McCrain and O'Connell supplementary material

McCrain and O'Connell supplementary material

Download McCrain and O'Connell supplementary material(PDF)
PDF 5.6 MB