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Measuring international conflict: Developing cross‐country time‐series data

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  • Yi Feng

Abstract

This paper develops a new time series of conflict data from 1948 to the present through statistical estimation of a pooled time‐series of the two most frequently used dyadic events data sets: Conflict and Cooperation Data Bank (COPDAB) (1948--1978) and World Events Interaction Survey (WEIS) (1966‐present). The resulting data series is the longest possible time‐series annual data of dyadic interaction based on daily events. The paper also provides an example of performing a Vector Autoregression (VAR) analysis of conflict and trade in a three‐country setting, utilizing the integrated data. Compared to the COPDAB and WEIS data, the integrated data have a large degree of variation and produce forecasting results that are more complex than those from the COPDAB and WEIS separately.

Suggested Citation

  • Yi Feng, 2000. "Measuring international conflict: Developing cross‐country time‐series data," International Interactions, Taylor & Francis Journals, vol. 26(3), pages 287-319, March.
    • Handle: RePEc:taf:ginixx:v:26:y:2000:i:3:p:287-319
    DOI: 10.1080/03050620008434969
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    Cited by:

    1. Michelle A. Benson, 2005. "The Relevance of Politically Relevant Dyads in the Study of Interdependence and Dyadic Disputes," Conflict Management and Peace Science, Peace Science Society (International), vol. 22(2), pages 113-133, April.

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