Replication Data for: Adding Regularized Horseshoes to the Dynamics of Latent Variable Models (doi:10.7910/DVN/G2VRQH)

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Document Description

Citation

Title:

Replication Data for: Adding Regularized Horseshoes to the Dynamics of Latent Variable Models

Identification Number:

doi:10.7910/DVN/G2VRQH

Distributor:

Harvard Dataverse

Date of Distribution:

2024-12-05

Version:

1

Bibliographic Citation:

Binding, Garret; Koc, Piotr, 2024, "Replication Data for: Adding Regularized Horseshoes to the Dynamics of Latent Variable Models", https://doi.org/10.7910/DVN/G2VRQH, Harvard Dataverse, V1

Study Description

Citation

Title:

Replication Data for: Adding Regularized Horseshoes to the Dynamics of Latent Variable Models

Identification Number:

doi:10.7910/DVN/G2VRQH

Authoring Entity:

Binding, Garret (Universität Basel)

Koc, Piotr (GESIS – Leibniz Institute for the Social Sciences)

Producer:

<i>Political Analysis</i>

Distributor:

Harvard Dataverse

Access Authority:

Binding, Garret

Depositor:

Binding, Garret

Date of Deposit:

2024-07-19

Holdings Information:

https://doi.org/10.7910/DVN/G2VRQH

Study Scope

Keywords:

Social Sciences

Abstract:

Dynamic latent variable models generally link units' positions on a latent dimension over time via random walks. Theoretically, these trajectories are often expected to resemble a mixture of periods of stability interrupted by moments of change. In these cases, a prior distribution such as the regularized horseshoe---that allows for both stasis and change---can prove a better theoretical and empirical fit for the underlying construct than other priors. Replicating Reuning, Kenwick, and Fariss (2019), we find that the regularized horseshoe performs better than the standard normal and the Student's t-distribution when modelling dynamic latent variable models. Overall, the use of the regularized horseshoe results in more accurate and precise estimates. More broadly, the regularized horseshoe is a promising prior for many similar applications.

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Sources Statement

Data Access

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Citation

Title:

Forthcoming, Political Analysis

Identification Number:

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Bibliographic Citation:

Forthcoming, Political Analysis

Other Study-Related Materials

Label:

rhs_replication_red.zip

Notes:

application/zip