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The econometrics literature proposed several new causal machine learning methods (CML) in the past few years. These methods harness the strength of machine learning methods to flexibly model the relationship between the treatment, outcome and confounders, while providing valid inferential...
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A novel debate within competition policy and regulation circles is whether autonomous machine learning algorithms may learn to collude on prices. We show that when fims face short-run price commitments, independent Q-learning (a simple but well-established self-learning algorithm) learns to...
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This study examines the applicability of modern Data Science techniques in the domain of Strategy. We apply novel techniques from the field of machine learning and text analysis. We proceed in two steps. First, we compare different machine learning techniques to traditional regression methods in...
Persistent link: https://www.econbiz.de/10012102412
When merging firms across large databases in the absence of common identifiers, text algorithms can help. I propose a high-performance fuzzy firm name matching algorithm that uses existing computational methods and works even under hardware restrictions. The algorithm consists of four steps,...
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This paper presents a meta-analysis of variations in price and income elasticities of residential water demand ….Information on the determinants of consumer demand is of pivotal importance for the efficiency and efficacy ofpublic and private … policy-making. It is also crucial for effective water demand management. We focus on theapplication of statistical methods to …
Persistent link: https://www.econbiz.de/10011398958
The market for commercial properties is characterised by extreme heterogeneity in demand. In this paper, we aim to gain … more insight in the heterogeneity in demand for employment agglomeration and size of the rental property using a two …
Persistent link: https://www.econbiz.de/10011381817