5 citations · 7 across the 9 of their papers we have counts for
9 papers
Literature Review and Evidence Aggregation: a Toolkit for Applied Micro
Peter Ganong, Avik Garg, Maximilian Kasy
Consider an analyst interested in predicting the size of an effect. She has identified a set of prior published studies of similar effects. We provide a toolkit for (i) summarizing…
Causal inference for social network formation
Maximilian Kasy, Elizabeth Linos, Sanaz Mobasseri
This paper develops a framework for identification, estimation, and inference on the causal mechanisms driving endogenous social network formation. Identification is challenging be…
Adaptive maximization of social welfare
Nicolo Cesa-Bianchi, Roberto Colomboni, Maximilian Kasy
We consider the problem of repeatedly choosing policies to maximize social welfare. Welfare is a weighted sum of private utility and public revenue. Earlier outcomes inform later p…
Optimal Pre-Analysis Plans: Statistical Decisions Subject to Implementability
Maximilian Kasy, Jann Spiess
What is the purpose of pre-analysis plans, and how should they be designed? We model the interaction between an agent who analyzes data and a principal who makes a decision based o…
Adaptive Combinatorial Allocation
Maximilian Kasy, Alexander Teytelboym
We consider settings where an allocation has to be chosen repeatedly, returns are unknown but can be learned, and decisions are subject to constraints. Our model covers two-sided a…
Approximate Cross-validation: Guarantees for Model Assessment and Selection
Ashia Wilson, Maximilian Kasy, Lester Mackey
Cross-validation (CV) is a popular approach for assessing and selecting predictive models. However, when the number of folds is large, CV suffers from a need to repeatedly refit a…
Identification of and correction for publication bias
Isaiah Andrews, Maximilian Kasy
Some empirical results are more likely to be published than others. Such selective publication leads to biased estimates and distorted inference. This paper proposes two approaches…
The Risk of Machine Learning
Alberto Abadie, Maximilian Kasy
Many applied settings in empirical economics involve simultaneous estimation of a large number of parameters. In particular, applied economists are often interested in estimating t…
Uniformity and the delta method
Maximilian Kasy
When are asymptotic approximations using the delta-method uniformly valid? We provide sufficient conditions as well as closely related necessary conditions for uniform negligibilit…