1 Introduction

In the section EER Bibliographic Information of this appendix, we compiled bibliographic information related to all articles published in the European Economic Review (EER). The goal of this section is to provide general information about the journal. Readers can explore information about the share of macroeconomics publications in the journal, or the type of collaboration between US and European economists in the journal.

In the section Dynamics Networks, we give details about the method for the network analysis of macroeconomic articles published in the top five economics journals and the EER. These articles are identified thanks to JEL codes. In this section, we explore the structure of macroeconomics publications in these journals by identifying clusters of articles that tackle similar subjects based on bibliographic similarity. From these clusters, we identify the clusters that are more European-oriented (research published in the EER and written by European authors) from clusters that are more US-oriented.

In the section A Look at Dynamic Communities users can explore a variety of information about the individual clusters identified in the previous section. We produced a variety of tables to explore the most cited references of the cluster or its most distinctive words/institutions compared to the overall corpus. In addition, users can also find some intra-clusters information about how the cluster evolved overtime, or the differences in the cluster between European/US authors and/or venues of publications.

In the section Topic modelling, we identify what are the most American/European topics resulting from our topic model approach. To achieve our goal, we computed how much each topics is characterize by particular publications venues (EER vs. Top 5), and by the countries of affiliations of authors (US vs. European). Users can explore information about the individual topics. We produced a variety of tables to explore the most cited references of the topics, or the most common terms of the topics. In addition, users can also find some intra-topics information about the differences in the clusters between European/American authors and/or venues of publications.

2 EER Bibliographic Information

In this section we briefly explore some of the information compiled about the EER, its relationship to macro and the importance of the EER in the overall landscape of economics.

2.1 Distribution of EER Articles

ggplot(Corpus_all_EER, aes(as.numeric(Annee_Bibliographique))) + 
  geom_bar() +
  labs(x = NULL,
       y = "Number of articles") +
  theme_minimal()

2.2 Share Macro

For each year, we calculated the share of articles published in the EER that matched macroeconomics JEL codes to get get an idea of the changing importance of macroeconomics in the journal:

mean_jel <- Corpus_all_EER[,mean(jel_id),Annee_Bibliographique]

ggplot(mean_jel[V1!=0 & Annee_Bibliographique!="2016"], aes(x=as.numeric(Annee_Bibliographique), y=V1)) +
  geom_smooth(method="auto", se=FALSE, fullrange=FALSE, level=0.95, span = 0.75,color="black")+
  # geom_point(alpha=0.5)+
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5)) +
  labs(x = NULL,
       y = NULL) +
  scale_y_continuous(labels = scales::label_percent(accuracy = 1)) +
  scale_x_continuous(n.breaks = 6) +
  coord_cartesian(ylim = c(0.2,0.45)) +
  theme_minimal() 

ggsave(here(eer_data,"pictures","Graphs","mean_jel.png"), width=40, height=15, units = "cm", scaling = 2.3)

2.3 Collaborations between Europeans and US in the EER

The following graph informs us about the collaborations between US and European authors in the EER: