Publications

The cemmap working paper series publishes papers expanding the frontiers of knowledge in microdata methods and practice. Martin Weidner is the editor of the working paper series.

Estimating the Fraction of Unreported Infections in Epidemics with a Known Epicenter: an Application to COVID-19

We develop an analytically tractable method to estimate the fraction of unreported infections in epidemics with… Continue reading.

Ali Hortaçsu, Jiarui Liu, Timothy Schwieg
May 2020

CWP21/20

Finite Sample Inference for the Maximum Score Estimand

We provide a finite sample inference method for the structural parameters of a semiparametric binary response… Continue reading.

Adam Rosen, Takuya Ura
May 2020

CWP22/20

The Identification Region of the Potential Outcome Distributions under Instrument Independence

This paper examines the identifying power of instrument exogeneity in the treatment effect model. We derive… Continue reading.

Toru Kitagawa
May 2020

CWP23/20

Previous version

Causal impact of masks, policies, behavior on early COVID-19 pandemic in the U.S.

This paper evaluates the dynamic impact of various policies, such as school, business, and restaurant closures,… Continue reading.

Victor Chernozhukov, Hiroyuki Kasahara, Paul Schrimpf
May 2020

CWP24/20

Econometric Modeling of Interdependent Discrete Choice with Applications to Market Structure

This paper demonstrates the use of bounds analysis for empirical models of market structure that allow… Continue reading.

Andrew Chesher, Adam Rosen
June 2020

CWP25/20

Previous version

Structural modeling of simultaneous discrete choice
Andrew Chesher, Adam Rosen
February 2020 | CWP9/20
Intertemporal Collective Household Models: Identification in Short Panels with Unobserved Heterogeneity in Resource Shares

We provide a new full-commitment intertemporal collective household model to estimate resource shares, defined as the… Continue reading.

Irene Botosaru, Chris Muris, Krishna Pendakur
June 2020

CWP26/20

Network and Panel Quantile Effects Via Distribution Regression

This paper provides a method to construct simultaneous confidence bands for quantile functions and quantile effects… Continue reading.

Victor Chernozhukov, Ivan Fernandez-Val, Martin Weidner
June 2020

CWP27/20

Previous version

Network and panel quantile effects via distribution regression
Victor Chernozhukov, Ivan Fernandez-Val, Martin Weidner
December 2018 | CWP70/18
Discrete choice under risk with limited consideration

This paper is concerned with learning decision makers’ preferences using data on observed choices from a… Continue reading.

Levon Barseghyan, Francesca Molinari, Matthew Thirkettle
June 2020

CWP28/20

Previous version

Discrete choice under risk with limited consideration
Levon Barseghyan, Francesca Molinari, Matthew Thirkettle
February 2019 | CWP08/19
Desperate times call for desperate measures: government spending multipliers in hard times

We investigate state-dependent effects of fiscal multipliers and allow for endogenous sample splitting to determine whether… Continue reading.

Sokbae (Simon) Lee, Yuan Liao, Myung Hwan Seo, Youngki Shin
June 2020

CWP29/20

Sparse Quantile Regression

We consider both l0-penalized and l0-constrained quantile regression estimators. For the l0-penalized estimator, we derive an… Continue reading.

Le-Yu Chen, Sokbae (Simon) Lee
June 2020

CWP30/20

Institutions, competitiveness and cognitive ability

We investigate whether growing up in a socialist country affects the development of competitiveness by comparing… Continue reading.

Syngjoo Choi, Byung-Yeon Kim, Jungmin Lee, Sokbae (Simon) Lee
June 2020

CWP31/20

Sparse HP filter: Finding kinks in the COVID-19 contact rate

In this paper, we estimate the time-varying COVID-19 contact rate of a Susceptible-Infected-Recovered (SIR) model. Our… Continue reading.

Sokbae (Simon) Lee, Yuan Liao, Myung Hwan Seo, Youngki Shin
June 2020

CWP32/20

Uncertain Identification

Uncertainty about the choice of identifying assumptions is common in causal studies, but is often ignored… Continue reading.

Raffaella Giacomini, Toru Kitagawa, Alessio Volpicella
July 2020

CWP33/20

Previous version

Uncertain identification
Raffaella Giacomini, Toru Kitagawa, Alessio Volpicella
April 2017 | CWP18/17
Inference after Estimation of Breaks

In an important class of econometric problems, researchers select a target parameter by maximizing the Euclidean… Continue reading.

Isaiah Andrews, Toru Kitagawa, Adam McCloskey
July 2020

CWP34/20

Previous version

Inference after estimation of breaks
Isaiah Andrews, Toru Kitagawa, Adam McCloskey
October 2019 | CWP51/19
The Welfare Effects of Promotional Fees

Manufacturers frequently pay fees to supermarkets when they temporarily reduce prices of their products. These funds… Continue reading.

Mateusz Mysliwski, Fabio M. Sanches, Daniel Silva Junior, Sorawoot Srisuma
July 2020

CWP35/20

Teacher-to-classroom assignment and student achievement

We study the effects of counterfactual teacher-to-classroom assignments on average student achievement in elementary and middle… Continue reading.

Bryan S. Graham, Geert Ridder, Petra Thiemann, Gema Zamarro
July 2020

CWP36/20

Minimizing Sensitivity to Model Misspecification

We propose a framework for estimation and inference when the model may be misspecified. We rely… Continue reading.

Stéphane Bonhomme, Martin Weidner
July 2020

CWP37/20

Previous version

Minimizing sensitivity to model misspecification
Stéphane Bonhomme, Martin Weidner
October 2018 | CWP59/18
Moment Conditions for Dynamic Panel Logit Models with Fixed Effects

This paper builds on Bonhomme (2012) to develop a method to systematically construct moment conditions for… Continue reading.

Bo E. Honoré, Martin Weidner
July 2020

CWP38/20

An adversarial approach to structural estimation

We propose a new simulation-based estimation method, adversarial estimation, for structural models. The estimator is formulated… Continue reading.

Tetsuya Kaji, Elena Manresa, Guillaume Pouliot
July 2020

CWP39/20

Locally- but not globally-identified SVARs

This paper analyzes Structural Vector Autoregressions (SVARs) where identification of structural parameters holds locally but not… Continue reading.

Emanuele Bacchiocchi, Toru Kitagawa
July 2020

CWP40/20