-
作者：Amir, Rabah; Rietzke, David
作者单位：University of Iowa; Lancaster University
摘要：Milgrom and Shannon (1994) provide necessary and sufficient conditions on parameterized optimization problems for their solution sets to be globally monotone in the parameter. We establish that their conditions may be significantly relaxed when focusing on discrete, binary comparisons between solution sets. Such binary comparisons are ubiquitous in economics and may involve comparing the same decision maker across two distinct regimes or two distinct decision makers with related objectives (e....
-
作者：Arellano, Manuel; Bonhomme, Stephane; Suarez, Sofia Borodich; Schumann, Martin; Shi, Xiaoxia; Tripathi, Gautam
作者单位：University of Chicago; University of Luxembourg; Maastricht University; University of Wisconsin System; University of Wisconsin Madison
-
作者：Imai, Kosuke; Li, Michael Lingzhi
作者单位：Harvard University; Harvard University; Harvard University
摘要：We examine the split-sample robust inference (SSRI) methodology introduced by Chernozhukov, Demirer, Duflo, and Fernandez-Val for quantifying uncertainty in heterogeneous treatment effect estimates produced by machine learning (ML) models. Although SSRI properly accounts for the additional variability due to sample splitting, its computational cost becomes prohibitive with complex ML models. We propose an alternative approach based on randomization inference (RI) that preserves the broad appli...
-
作者：Banerjee, Abhijit; Chandrasekhar, Arun G.; Dalpath, Suresh; Duflo, Esther; Floretta, John; Jackson, Matthew O.; Kannan, Harini; Loza, Francine; Sankar, Anirudh; Schrimpf, Anna; Shrestha, Maheshwor
作者单位：Massachusetts Institute of Technology (MIT); National Bureau of Economic Research; Stanford University; The Santa Fe Institute; The World Bank
摘要：Policymakers often choose a policy bundle that is a combination of different interventions in different dosages. We develop a new technique-treatment variant aggregation (TVA)-to select a policy from a large factorial design. TVA pools together policy variants that are not meaningfully different and prunes those deemed ineffective. This allows us to restrict attention to aggregated policy variants, consistently estimate their effects on the outcome, and estimate the best policy effect adjustin...
-
作者：Hodgson, Charles; Lewis, Gregory
作者单位：Yale University; National Bureau of Economic Research
摘要：We develop and estimate a model of consumer search with spatial learning. Consumers make inferences from previously searched objects to unsearched objects that are nearby in attribute space, generating path dependence in search sequences. The estimated model rationalizes patterns in data on online consumer search paths: search tends to converge to the chosen product in attribute space, and consumers take larger steps away from rarely purchased products. Eliminating spatial learning reduces con...
