Replication data for: Time Series Intervals and Statistical Inference: The Effects of Temporal Aggregation on Event Data Analysis (doi:10.7910/DVN/M9KLWI)

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Document Description

Citation

Title:

Replication data for: Time Series Intervals and Statistical Inference: The Effects of Temporal Aggregation on Event Data Analysis

Identification Number:

doi:10.7910/DVN/M9KLWI

Distributor:

Harvard Dataverse

Date of Distribution:

2010-02-16

Version:

1

Bibliographic Citation:

Stephen M. Shellman, 2010, "Replication data for: Time Series Intervals and Statistical Inference: The Effects of Temporal Aggregation on Event Data Analysis", https://doi.org/10.7910/DVN/M9KLWI, Harvard Dataverse, V1

Study Description

Citation

Title:

Replication data for: Time Series Intervals and Statistical Inference: The Effects of Temporal Aggregation on Event Data Analysis

Identification Number:

doi:10.7910/DVN/M9KLWI

Authoring Entity:

Stephen M. Shellman (The College of William and Mary)

Producer:

Political Analysis

Date of Production:

2004

Distributor:

Harvard Dataverse

Distributor:

Murray Research Archive

Date of Deposit:

2010

Holdings Information:

https://doi.org/10.7910/DVN/M9KLWI

Study Scope

Abstract:

While many areas of research in political science draw inferences from temporally aggregated data, rarely have researchers explored how temporal aggregation biases parameter estimates. With some notable exceptions (Freeman 1989, Political Analysis 1:61–98; Alt et al. 2001, Political Analysis 9:21–44; Thomas 2002, "Event Data Analysis and Threats from Temporal Aggregation") political science studies largely ignore how temporal aggregation affects our inferences. This article expands upon others' work on this issue by assessing the effect of temporal aggregation decisions on vector autoregressive (VAR) parameter estimates, significance levels, Granger causality tests, and impulse response functions. While the study is relevant to all fields in political science, the results directly apply to event data studies of conflict and cooperation. The findings imply that political scientists should be wary of the impact that temporal aggregation has on statistical inference.

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:

Stephen M. Shellman. 2004. "Time Series Intervals and Statistical Inference: The Effects of Temporal Aggregation on Event Data Analysis ." Political Analysis, 12(1), 97 - 104. <a href= "http://pan.oxfordjournals.org/cgi/reprint/12/1/97" target= "_new">subscribe to Political Analysis to access the full article</a>

Bibliographic Citation:

Stephen M. Shellman. 2004. "Time Series Intervals and Statistical Inference: The Effects of Temporal Aggregation on Event Data Analysis ." Political Analysis, 12(1), 97 - 104. <a href= "http://pan.oxfordjournals.org/cgi/reprint/12/1/97" target= "_new">subscribe to Political Analysis to access the full article</a>

Other Study-Related Materials

Label:

shelman.doc

Text:

Time Series Intervals and Statistical Inference: The Affects of Temporal Aggregation on Event Data Analysis

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