58 citations · 96 across the 8 of their papers we have counts for
8 papers
Structured Payment in Pawnshop Borrowing: Mandates vs. Choice
Francis J. DiTraglia, Craig McIntosh, Isaac Meza +2
Pawn loans offer borrowers a substantial degree of repayment flexibility in exchange for a harsh penalty in case of default: forfeit of collateral worth more than the loan amount a…
Efficient semiparametric estimation of marginal treatment effects with genetic instrumental variables
Ashish Patel, Francis J DiTraglia, Stephen Burgess
Alcohol misuse is a key target of public health strategies aimed at reducing cardiovascular risk. The effect of excessive alcohol consumption on blood pressure may vary systematica…
Bayesian Double Machine Learning for Causal Inference
Francis J. DiTraglia, Laura Liu
This paper proposes a simple, novel, and fully-Bayesian approach for causal inference in partially linear models with high-dimensional control variables. Off-the-shelf machine lear…
Selecting invalid instruments to improve Mendelian randomization with two-sample summary data
Ashish Patel, Francis J. DiTraglia, Verena Zuber +1
Mendelian randomization (MR) is a widely-used method to estimate the causal relationship between a risk factor and disease. A fundamental part of any MR analysis is to choose appro…
A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models
Francis J. DiTraglia, Camilo Garcia-Jimeno
To estimate causal effects from observational data, an applied researcher must impose beliefs. The instrumental variables exclusion restriction, for example, represents the belief…
Identifying the effect of a mis-classified, binary, endogenous regressor
Francis J. DiTraglia, Camilo Garcia-Jimeno
This paper studies identification of the effect of a mis-classified, binary, endogenous regressor when a discrete-valued instrumental variable is available. We begin by showing tha…
Identifying Causal Effects in Experiments with Spillovers and Non-compliance
Francis J. DiTraglia, Camilo Garcia-Jimeno, Rossa O'Keeffe-O'Donovan +1
This paper shows how to use a randomized saturation experimental design to identify and estimate causal effects in the presence of spillovers--one person's treatment may affect ano…
Using Invalid Instruments on Purpose: Focused Moment Selection and Averaging for GMM
Francis J. DiTraglia
In finite samples, the use of a slightly endogenous but highly relevant instrument can reduce mean-squared error (MSE). Building on this observation, I propose a novel moment selec…