Temporal Change in the Density of State Interest Communities

1980 to 2007

David Lynn Lowery, Virginia Gray, John Cluverius

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Two very different kinds of models—cross-sectional models based on the logic of island biogeography and time series models of density dependence—are used to understand interest system density. While they share much in common, it is not at all clear how results derived from cross-sectional models are to be understood in terms of the temporal focus of the time series approach. Thus, the first purpose of this article is to more thoroughly think through how these two modeling strategies and their empirical findings are related to each other. We empirically assess several theoretical conjectures about the relationship of the two modeling strategies by adding a temporal element to the typical cross-sectional analysis of state interest systems via modeling density dependence pooled across four cross-sections from 1980, 1990, 1997, and 2007. By doing so, we add to the literature on state interest system density by examining how it has changed since 1980. Finally, we discuss the nature of this change and what it implies for the temporal development of state interest communities, the second focus of this analysis.

Original languageEnglish (US)
Pages (from-to)263-286
Number of pages24
JournalState Politics and Policy Quarterly
Volume15
Issue number2
DOIs
StatePublished - Jun 8 2015

Fingerprint

community
time series
Modeling
literature
Logic
Biogeography
Cross Section

All Science Journal Classification (ASJC) codes

  • Arts and Humanities (miscellaneous)
  • Political Science and International Relations

Cite this

Lowery, David Lynn ; Gray, Virginia ; Cluverius, John. / Temporal Change in the Density of State Interest Communities : 1980 to 2007. In: State Politics and Policy Quarterly. 2015 ; Vol. 15, No. 2. pp. 263-286.
@article{d0357df3512140caa807b0141da08e1e,
title = "Temporal Change in the Density of State Interest Communities: 1980 to 2007",
abstract = "Two very different kinds of models—cross-sectional models based on the logic of island biogeography and time series models of density dependence—are used to understand interest system density. While they share much in common, it is not at all clear how results derived from cross-sectional models are to be understood in terms of the temporal focus of the time series approach. Thus, the first purpose of this article is to more thoroughly think through how these two modeling strategies and their empirical findings are related to each other. We empirically assess several theoretical conjectures about the relationship of the two modeling strategies by adding a temporal element to the typical cross-sectional analysis of state interest systems via modeling density dependence pooled across four cross-sections from 1980, 1990, 1997, and 2007. By doing so, we add to the literature on state interest system density by examining how it has changed since 1980. Finally, we discuss the nature of this change and what it implies for the temporal development of state interest communities, the second focus of this analysis.",
author = "Lowery, {David Lynn} and Virginia Gray and John Cluverius",
year = "2015",
month = "6",
day = "8",
doi = "10.1177/1532440015574477",
language = "English (US)",
volume = "15",
pages = "263--286",
journal = "State Politics and Policy Quarterly",
issn = "1532-4400",
publisher = "University of Illinois at Urbana-Champaign",
number = "2",

}

Temporal Change in the Density of State Interest Communities : 1980 to 2007. / Lowery, David Lynn; Gray, Virginia; Cluverius, John.

In: State Politics and Policy Quarterly, Vol. 15, No. 2, 08.06.2015, p. 263-286.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Temporal Change in the Density of State Interest Communities

T2 - 1980 to 2007

AU - Lowery, David Lynn

AU - Gray, Virginia

AU - Cluverius, John

PY - 2015/6/8

Y1 - 2015/6/8

N2 - Two very different kinds of models—cross-sectional models based on the logic of island biogeography and time series models of density dependence—are used to understand interest system density. While they share much in common, it is not at all clear how results derived from cross-sectional models are to be understood in terms of the temporal focus of the time series approach. Thus, the first purpose of this article is to more thoroughly think through how these two modeling strategies and their empirical findings are related to each other. We empirically assess several theoretical conjectures about the relationship of the two modeling strategies by adding a temporal element to the typical cross-sectional analysis of state interest systems via modeling density dependence pooled across four cross-sections from 1980, 1990, 1997, and 2007. By doing so, we add to the literature on state interest system density by examining how it has changed since 1980. Finally, we discuss the nature of this change and what it implies for the temporal development of state interest communities, the second focus of this analysis.

AB - Two very different kinds of models—cross-sectional models based on the logic of island biogeography and time series models of density dependence—are used to understand interest system density. While they share much in common, it is not at all clear how results derived from cross-sectional models are to be understood in terms of the temporal focus of the time series approach. Thus, the first purpose of this article is to more thoroughly think through how these two modeling strategies and their empirical findings are related to each other. We empirically assess several theoretical conjectures about the relationship of the two modeling strategies by adding a temporal element to the typical cross-sectional analysis of state interest systems via modeling density dependence pooled across four cross-sections from 1980, 1990, 1997, and 2007. By doing so, we add to the literature on state interest system density by examining how it has changed since 1980. Finally, we discuss the nature of this change and what it implies for the temporal development of state interest communities, the second focus of this analysis.

UR - http://www.scopus.com/inward/record.url?scp=84930582762&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84930582762&partnerID=8YFLogxK

U2 - 10.1177/1532440015574477

DO - 10.1177/1532440015574477

M3 - Article

VL - 15

SP - 263

EP - 286

JO - State Politics and Policy Quarterly

JF - State Politics and Policy Quarterly

SN - 1532-4400

IS - 2

ER -