Replication data for: A Linear Poisson Autoregressive Model: The Poissson AR(p) Model (doi:10.7910/DVN/O4PJRG)

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Document Description

Citation

Title:

Replication data for: A Linear Poisson Autoregressive Model: The Poissson AR(p) Model

Identification Number:

doi:10.7910/DVN/O4PJRG

Distributor:

Harvard Dataverse

Date of Distribution:

2010-02-16

Version:

1

Bibliographic Citation:

Patrick T. Brandt; John T. Williams, 2010, "Replication data for: A Linear Poisson Autoregressive Model: The Poissson AR(p) Model", https://doi.org/10.7910/DVN/O4PJRG, Harvard Dataverse, V1

Study Description

Citation

Title:

Replication data for: A Linear Poisson Autoregressive Model: The Poissson AR(p) Model

Identification Number:

doi:10.7910/DVN/O4PJRG

Authoring Entity:

Patrick T. Brandt (Indiana University)

John T. Williams (Indiana University)

Producer:

Political Analysis

Date of Production:

2001

Distributor:

Harvard Dataverse

Distributor:

Murray Research Archive

Date of Deposit:

2010

Holdings Information:

https://doi.org/10.7910/DVN/O4PJRG

Study Scope

Abstract:

Time series of event counts are common in political science and other social science applications. Presently, there are few satisfactory methods for identifying the dynamics in such data and accounting for the dynamic processes in event counts regression. We address this issue by building on earlier work for persistent event counts in the Poisson exponentially weighted moving-average model (PEWMA) of Brandt et al. (American Journal of Political Science 44(4):823–843, 2000). We develop an alternative model for stationary mean reverting data, the Poisson autoregressive model of order p, or PAR(p) model. Issues of identification and model selection are also considered.We then evaluate the properties of this model and present both Monte Carlo evidence and applications to illustrate.

Methodology and Processing

Sources Statement

Data Access

Notes:

<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>

Other Study Description Materials

Related Publications

Citation

Title:

Patrick T. Brandt and John T. Williams. 2001. "A Linear Poisson Autoregressive Model: The Poisson AR(p) Model." Political Analysis, 9(2), 164 - 184. <a href= "http://polmeth.wustl.edu/polanalysis/vol/9/PA92-164-184.pdf" target= "_new">article available here</a>

Bibliographic Citation:

Patrick T. Brandt and John T. Williams. 2001. "A Linear Poisson Autoregressive Model: The Poisson AR(p) Model." Political Analysis, 9(2), 164 - 184. <a href= "http://polmeth.wustl.edu/polanalysis/vol/9/PA92-164-184.pdf" target= "_new">article available here</a>

Other Study-Related Materials

Label:

brandt.replication.zip

Text:

Notes:

application/zip

Other Study-Related Materials

Label:

Linear_Poisson.pdf

Text:

Published Article

Notes:

application/pdf