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Found 4 papers, 1 papers with code
Parallel Trends and Dynamic Choices
Difference-in-differences is a common method for estimating treatment effects, and the parallel trends condition is its main identifying assumption: the trend in mean untreated outcomes is independent of the observed treatment status.
Efficient Estimation in NPIV Models: A Comparison of Various Neural Networks-Based Estimators
We investigate the performance of various ANNs in nonparametric instrumental variables (NPIV) models of moderately high dimensional covariates that are relevant to empirical economics.
Estimating High Dimensional Monotone Index Models by Iterative Convex Optimization1
For such monotone index models with increasing dimension, we propose to use a new class of estimators based on batched gradient descent (BGD) involving nonparametric methods such as kernel estimation or sieve estimation, and study their asymptotic properties.
Inference on Auctions with Weak Assumptions on Information
Given a sample of bids from independent auctions, this paper examines the question of inference on auction fundamentals (e. g. valuation distributions, welfare measures) under weak assumptions on information structure.
