A General Panel Model for Unobserved Time Heterogeneity with Application to the Politics of Mass Incarceration
Bibliographic Data
| ID | 6169952 |
|---|---|
| Authors | W Duxbury (0000-0002-2071-8357, University of North Carolina at Chapel Hill, corresponding author) |
| Year | 2021 |
| Volume | 51 |
| Issue | 2 |
| Pages | 348-377 |
| Publication date | 2021-05-25 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sociological Methodology (JOURNAL) |
| Journal identifiers | ISSN: 0081-1750 • E-ISSN: 1467-9531 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/00811750211016033 |
| OpenAlex | W3164731461 |
| Language | EN |
| Citations received | 2 |
| References cited | 41 |
Panel data analysis is common in the social sciences. Fixed effects models are a favorite among sociologists because they control for unobserved heterogeneity (unexplained variation) among cross-sectional units, but estimates are biased when there is unobserved heterogeneity in the underlying time trends. Two-way fixed effects models adjust for unobserved time heterogeneity but are inefficient, cannot include unit-invariant variables, and eliminate common trends: the portion of variance in a time-varying variable that is invariant across cross-sectional units. This article introduces a general panel model that can include unit-invariant variables, corrects for unobserved time heterogeneity, and provides the effect of common trends while also allowing for unobserved unit heterogeneity, time-varying coefficients, and time-invariant variables. One-way and two-way fixed effects models are shown to be restrictive forms of this general model. Other restrictive forms are also derived that offer all the usual advantages of one-way and two-way fixed effects models but account for unobserved time heterogeneity. The author uses the models to examine the increase in state incarceration rates between 1970 and 2015
Control variable · Econometrics · Economics · Fixed effects model · Invariant (physics · Panel data · Statistics · Variance (accounting · Advanced Causal Inference Techniques · Mathematics · Spatial and Panel Data Analysis · Urban, Neighborhood, and Segregation Studies
Econometric Analysis of Panel Data
The Culture of Control
Fixed Effects Regression Models
Between- and Within-Cluster Covariate Effects in the Analysis of Clustered Data
On the Pooling of Time Series and Cross Section Data
Some Tests of Specification for Panel Data
How Much Should We Trust Differences-In-Differences Estimates?
Specification Tests in Econometrics
Hierarchical linear models
Building the Prison State
Making Crime Pay
The Toughest Beat
Incarceration Nation
Mostly Harmless Econometrics
Governing Through Crime
Publish and Perish? An Assessment of Gender Gaps in Promotion to Tenure in Academia
A General Panel Model with Random and Fixed Effects
Data Analysis Using Regression and Multilevel/Hierarchical Models
Varieties of Mass Incarceration
Frontlash
State Prison Populations and Their Growth, 1971–1991
Racial Threat, Partisan Politics, and Racial Disparities in Prison Admissions
The New Jim Crow
A Methodological Comparison of Age-Period-Cohort Models
Modeling Heterogeneous Treatment Effects in Survey Experiments with Bayesian Additive Regression Trees
Community and the Crime Decline
The Costs of Simplicity
Avoiding Us versus Them
What You Can-and Can't-Do With Three-Wave Panel Data
Does Medical Expansion Improve Population Health
Panel Models in Sociological Research
The Transformation of America's Penal Order
Northward Migration and the Rise of Racial Disparity in American Incarceration, 1880-1950
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,67 |
| Citation span | 2023 - 2025 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |