Supervised machine learning algorithms fail to perform well in the presence of endogeneity in the explanatory variables. In this paper, we borrow from literature on partial identification to propose deep causal inequalities that overcomes this issue.…Read More
Many technology products and platform markets are characterized by indirect network effects. These network effects arise when the benefit from using a product or a service increases with the use of a complementary product or service.…Read More
We study how retail stores’ multi-dimensioned service levels affect consumers’ buying behavior in a spatial setting. To this end, we propose the Double Block-Lasso BLP estimator, which combines the double selection procedure introduced in Belloni, Chernozhukov, and Hansen (2014), with demand estimation methods set forth in Berry, Levinsohn and Pakes (1995).…Read More
