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Found 8 papers, 0 papers with code
The learning effects of subsidies to bundled goods: a semiparametric approach
Our empirical results indicate that a two-week 50\% discount on car trips integrating with train/metro leads to a contemporaneous increase in the demand for integrated rides, and, consistent with our learning model, persistent changes in the mean and dispersion of nonintegrated rides.
A maximal inequality for local empirical processes under weak dependence
Local empirical processes are defined as the (local) averages $\frac{1}{nh}\sum_{i=1}^n \mathbf{1}\{x - h \leq X_i \leq x+h\}f(Z_i)$, where $f$ belongs to a class of functions, $x \in \mathbb{R}$ and $h > 0$ is a bandwidth.
Extensions for Inference in Difference-in-Differences with Few Treated Clusters
We present alternatives in settings with few treated units that are valid with variation in treatment timing and/or that allow for uniform confidence bands.
Reward Function Optimization of a Deep Reinforcement Learning Collision Avoidance System
The proliferation of unmanned aircraft systems (UAS) has caused airspace regulation authorities to examine the interoperability of these aircraft with collision avoidance systems initially designed for large transport category aircraft.
Randomization Inference Tests for Shift-Share Designs
We consider the problem of inference in shift-share research designs.
Homophily in preferences or meetings? Identifying and estimating an iterative network formation model
Is homophily in social and economic networks driven by a taste for homogeneity (preferences) or by a higher probability of meeting individuals with similar attributes (opportunity)?
Inference in Difference-in-Differences with Few Treated Units and Spatial Correlation
We consider the problem of inference in Difference-in-Differences (DID) when there are few treated units and errors are spatially correlated.
Classification of Complex Wishart Matrices with a Diffusion-Reaction System guided by Stochastic Distances
We propose a new method for PolSAR (Polarimetric Synthetic Aperture Radar) imagery classification based on stochastic distances in the space of random matrices obeying complex Wishart distributions.
