A puzzle in international macroeconomics is that observed real exchange rates are highly volatile. Standard international real business cycle (IRBC) models cannot reproduce this fact. We show that TFP processes for the U.S. and the ""rest of the world,"" is characterized by a vector error...

Violent conflicts are typically associated with a long-lasting drag on economic output, yet establishing causality based on macro-data remains as a challenge. This study attempts to build causality in the conflict-growth nexus by exploiting within-country variation across industries'...

The rise of fintech is revolutionizing the financial landscape, with products and companies advancing innovative technologies to improve and automate financial services. In this paper, I use a novel dataset and implement a dynamic modelling to investigate the relationship between fintech and...

The qualitative and granular nature of most structural indicators and the variety in data sources poses difficulties for consistent cross-country assessments and empirical analysis. We overcome these issues by using a machine learning approach (the partial least squares method) to combine a...

Economic growth in the advanced economies (AEs) has been slowing down since the early 2000s, while government debt ratios have been rising. The recent surge in debt at the onset of the Covid-19 pandemic has further intensified concerns about these phenomena. This paper aims to offer insight into...

Intro -- Contents -- I. INTRODUCTION -- II. MODEL SETTING AND CHARACTERISTICS -- III. UNIQUE EQUILIBRIUM CANDIDATE WITH STRATEGIC INTERMEDIATION -- IV. EXISTENCE OF AN EQUILIBRIUM WITH FREE RECONTRACTING OPPORTUNITY -- V. DISCUSSION -- VI. CONCLUDING REMARKS -- REFERENCES -- APPENDIX I. PROOFS...