Coauthorship and Thematic Networks in AAEP Annual Meetings

TL;DR

This paper examines the evolution of coauthorship and thematic networks in AAEP Annual Meetings since 1964, revealing key actors, clusters, and gender gaps using social network analysis and JEL codes.

Contribution

It introduces a combined social network analysis of coauthorship and thematic topics based on JEL codes, highlighting gender disparities and thematic clusters.

Findings

Identifies main coauthor clusters and key actors.

Reveals thematic clusters centered on trade, econometrics, and social issues.

Discovers a gender gap in coauthorship patterns.

Abstract

We analyze the coauthorship production of the AAEP Annual Meeting since 1964. We use social network analysis for creating coauthorship networks and given that any paper must be tagged with two JEL codes, we use this information for also structuring a thematic network. Then we calculate network metrics and find main actors and clusters for coauthors and topics. We distinguish a gender gap in the sample. Thematic networks show a cluster of codes and the analysis of the cluster shows the preeminence of the tags related to trade, econometric, distribution/poverty and health and education topics.