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Found 11 papers, 0 papers with code
Data-driven Policy Learning for a Continuous Treatment
This paper studies policy learning under the condition of unconfoundedness with a continuous treatment variable.
Grenander-type Density Estimation under Myerson Regularity
This study presents a novel approach to the density estimation of private values from second-price auctions, diverging from the conventional use of smoothing-based estimators.
Employer Reputation and the Labor Market: Evidence from Glassdoor.com and Dice.com
We find that displayed employer reputation affects an employer's ability to attract workers, especially when the displayed rating is "sticky."
Information-theoretic limitations of data-based price discrimination
The second set of results proposes the $K$-markets empirical revenue maximization (ERM) strategy and shows that the $K$-markets ERM and the uniform ERM strategies achieve the optimal rate of convergence in revenue to that generated by their respective true-distribution 3PD and uniform pricing optima.
Nonlinear and Nonseparable Structural Functions in Fuzzy Regression Discontinuity Designs
This study examines the identification and estimation of the structural function in fuzzy RD designs with a continuous treatment variable.
Personalized Subsidy Rules
When there is positive selection, that is, when individuals with higher returns are more likely to select the encouraged behavior, the optimal subsidy rule achieves the first-best welfare, which is the optimal welfare if a policy-maker can observe individuals' private information.
Uniform Convergence Results for the Local Linear Regression Estimation of the Conditional Distribution
This paper examines the local linear regression (LLR) estimate of the conditional distribution function $F(y|x)$.
Strength in Numbers: Robust Mechanisms for Public Goods with Many Agents
We show that when the cost of provision grows slower than the $\sqrt{n}$-rate, the AMT mechanisms are both eventually ex-ante budget balanced and asymptotically efficient.
Finite-Sample Average Bid Auction
An adaptive average bid estimator is developed under this idea, and it has the same asymptotic properties as the empirical Myerson estimator.
Global Representation of the Conditional LATE Model: A Separability Result
We find that if the directions of the monotonicity condition are the same across all values of the conditioning covariate, which is often assumed in the literature, then the treatment choice equation has to satisfy a separability condition between the instrument and the covariate.
Efficient and Robust Estimation of the Generalized LATE Model
This paper studies the estimation of causal parameters in the generalized local average treatment effect (GLATE) model, a generalization of the classical LATE model encompassing multi-valued treatment and instrument.
