This paper provides a critical analysis of the possible methods, data sources and the existing results of the field of 'the economic costs of mass violent conflict' by identifying strengths and weaknesses of the existing literature. The report evaluates content, methods, and data sources of the...

This is an introductory article which explains the importance of explicit consideration and modeling of causality, contrary to current econometric practice, in order to use data set for extraction of meaningful information. One of the easiest to understand approaches to causality is via...

Egypt's industries heavily rely on imported goods for production. Thus, an increase in imports could have a potentially positive effect on the labor market as it means more inputs for the production of exporting goods. Alternatively, minimal backward linkages in global value chains (GVCs) could...

Unlike many countries, Egypt did not experience significant labor market improvements following trade liberalization. In this paper, we build upon the earlier work of Robertson et al. (2021) to investigate why increased Egyptian exports did not directly increase employment. To illustrate the...

Florian Dorn prepared this study during his doctoral studies at the Ludwig-Maximilians University of Munich (LMU). The study was completed in September 2020 and accepted as doctoral thesis by the Department of Economics. This dissertation contributes to the empirics of public economics and...

This paper explores the relation between activities in the Bolivian economy as suppliers and demanders of intermediate inputs, this whit the purpose to determine which activities have great impact on the rest of the economy and which ones are less integrated. For this, Rasmussen indexes are...

Applying a probabilistic causal approach, we define a class of time series causal models (TSCM) based on stationary Bayesian networks. A TSCM can be seen as a structural VAR identified by the causal relations among the variables. We classify TSCMs into observationally equivalent classes by...

The primary aim of the paper is to place current methodological discussions on empirical modeling contrasting the 'theory first' versus the 'data first' perspectives in the context of a broader methodological framework with a view to constructively appraise them. In particular, the paper focuses...

Applying a probabilistic causal approach, we define a class of time series causal models (TSCM) based on stationary Bayesian networks. A TSCM can be seen as a structural VAR identified by the causal relations among the variables. We classify TSCMs into observationally equivalent classes by...