Machine Learning and Causality: The Impact of Financial Crises on Growth


Book Description

Machine learning tools are well known for their success in prediction. But prediction is not causation, and causal discovery is at the core of most questions concerning economic policy. Recently, however, the literature has focused more on issues of causality. This paper gently introduces some leading work in this area, using a concrete example—assessing the impact of a hypothetical banking crisis on a country’s growth. By enabling consideration of a rich set of potential nonlinearities, and by allowing individually-tailored policy assessments, machine learning can provide an invaluable complement to the skill set of economists within the Fund and beyond.




Social capital and cooperation


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Essays on firm heterogeneity and quality in international trade


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The thesis is organized as follows. Chapter 2 contains a survey of the three most in‡fluential models on fi…rm heterogeneity and of the most important empirical work on firrm heterogeneity. The chapter starts with a brief review of the homogeneous productivity imperfect competition literature. Chapter 2 …finishes with a comparison of the three most in‡fluential models of fi…rm heterogeneity and the oligopoly model put forward in the thesis. Chapter 3 addresses exporting uncertainty under heterogeneous popularity. Chapter 4 contains the chapter on …firm heterogeneity under oligopoly. Chapter 5 constitutes the models on …firm heterogeneity and endogenous quality. Chapter 6 points out the within-sector specialization model. Chapter 7 addresses the effect of importer characteristics on unit values and the role of markups and quality to explain this effect. Chapter 8 concludes.













Private equity acquistions


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Come Close and Co-create


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Access to relevant external knowledge is crucial for a firms' competitiveness in innovation-driven industries. This thesis focuses on how different forms of proximity affect a firm's ability to access such knowledge. We consider the influence of being co-located in space, of being embedded in a network, and of being active in similar knowledge domains. By integrating these three proximity perspectives, we contribute to various disciplines such as economic geography, organizational sociology and innovation studies. Further, we investigate the make, buy or ally strategies that pharmaceutical firms employ to maximize the probability of innovation (finding new drugs). Our findings suggest that firms employ multiple governance structures simultaneously, even when targeting similar innovations. These insights contribute to our understanding of the boundaries of the firm.




Essays on Labour Markets


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