activity
20162026
most citedSubvector Inference in Partially Identified Models with Many Moment Inequalities

10 citations · 24 across the 16 of their papers we have counts for

collaborators

18 papers

econ.EM2026

Manipulation Testing in Boundary Discontinuity Designs

Federico A. Bugni, Federico Crippa, Daniel Restrepo

We propose the first manipulation test designed for boundary discontinuity designs (BDDs) with general boundary shapes. A BDD is a multidimensional extension of the regression disc…

econ.EM2026

Demand estimation without outside good shares

Federico A. Bugni, Joel L. Horowitz, Linqi Zhang

The BLP model is the workhorse framework for estimating demand for differentiated products using aggregate product shares. In practice, however, the share of the outside good is of…

econ.EM2025

Testing Conditional Stochastic Dominance at Target Points

Federico A. Bugni, Ivan A. Canay, Deborah Kim

This paper introduces a test for conditional stochastic dominance between two distributions at prespecified values of a conditioning covariate, referred to as target points. The te…

econ.EM2024

Marginal homogeneity tests with panel data

Federico Bugni, Jackson Bunting, Muyang Ren

A panel dataset satisfies marginal homogeneity if the time-specific marginal distributions are homogeneous or time-invariant. Marginal homogeneity is relevant in many economic sett…

econ.EM2024

On the power properties of inference for parameters with interval identified sets

Federico A. Bugni, Mengsi Gao, Filip Obradovic +1

This paper studies the power properties of confidence intervals (CIs) for a partially-identified parameter of interest with an interval identified set. We assume the researcher has…

econ.EM2024

Identification and Inference on Treatment Effects under Covariate-Adaptive Randomization and Imperfect Compliance

Federico A. Bugni, Mengsi Gao, Filip Obradovic +1

Randomized controlled trials (RCTs) frequently utilize covariate-adaptive randomization (CAR) (e.g., stratified block randomization) and commonly suffer from imperfect compliance.…

econ.EM2023

Inference in Auctions with Many Bidders Using Transaction Prices

Federico A. Bugni, Yulong Wang

This paper studies inference in first-price and second-price sealed-bid auctions with many bidders, using an asymptotic framework where the number of bidders increases while the nu…

econ.EM2023★ 1 cited

Decomposition and Interpretation of Treatment Effects in Settings with Delayed Outcomes

Federico A. Bugni, Ivan A. Canay, Steve McBride

This paper studies settings where the analyst is interested in identifying and estimating the average \emph{direct} causal effect of a binary treatment on an outcome. We consider a…

econ.EM2022★ 6 cited

Inference for Cluster Randomized Experiments with Non-ignorable Cluster Sizes

Federico Bugni, Ivan Canay, Azeem Shaikh +1

This paper considers the problem of inference in cluster randomized experiments when cluster sizes are non-ignorable. Here, by a cluster randomized experiment, we mean one in which…

econ.EM2021★ 2 cited

Inference under Covariate-Adaptive Randomization with Imperfect Compliance

Federico A. Bugni, Mengsi Gao

This paper studies inference in a randomized controlled trial (RCT) with covariate-adaptive randomization (CAR) and imperfect compliance of a binary treatment. In this context, we…

econ.EM2020★ 1 cited

Testing homogeneity in dynamic discrete games in finite samples

Federico A. Bugni, Jackson Bunting, Takuya Ura

The literature on dynamic discrete games often assumes that the conditional choice probabilities and the state transition probabilities are homogeneous across markets and over time…

econ.EM2020★ 4 cited

Permutation-based tests for discontinuities in event studies

Federico A. Bugni, Jia Li, Qiyuan Li

We propose using a permutation test to detect discontinuities in an underlying economic model at a known cutoff point. Relative to the existing literature, we show that this test i…

math.ST2018★ 10 cited

Subvector Inference in Partially Identified Models with Many Moment Inequalities

Alexandre Belloni, Federico Bugni, Victor Chernozhukov

This paper considers inference for a function of a parameter vector in a partially identified model with many moment inequalities. This framework allows the number of moment condit…

econ.EM2018

Testing Continuity of a Density via g-order statistics in the Regression Discontinuity Design

Federico A. Bugni, Ivan A. Canay

In the regression discontinuity design (RDD), it is common practice to assess the credibility of the design by testing the continuity of the density of the running variable at the…

econ.EM2018

Permutation Tests for Equality of Distributions of Functional Data

Federico A. Bugni, Joel L. Horowitz

Economic data are often generated by stochastic processes that take place in continuous time, though observations may occur only at discrete times. For example, electricity and gas…

econ.EM2018

On the iterated estimation of dynamic discrete choice games

Federico A. Bugni, Jackson Bunting

We study the asymptotic properties of a class of estimators of the structural parameters in dynamic discrete choice games. We consider K-stage policy iteration (PI) estimators, whe…

math.ST2016

Inference in partially identified models with many moment inequalities using Lasso

Federico A. Bugni, Mehmet Caner, Anders Bredahl Kock +1

This paper considers inference in a partially identified moment (in)equality model with many moment inequalities. We propose a novel two-step inference procedure that combines the…

stat.ME2016

Inference in Dynamic Discrete Choice Problems under Local Misspecification

Federico A. Bugni, Takuya Ura

Single-agent dynamic discrete choice models are typically estimated using heavily parametrized econometric frameworks, making them susceptible to model misspecification. This paper…