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.

Bias and Consistency in Three-way Gravity Models

We study the incidental parameter problem in “three-way” Poisson Pseudo-Maximum Likelihood “PPML” gravity models recently recommended… Continue reading.

Martin Weidner, Thomas Zylkin
January 2020

CWP1/20

Recovering Latent Variables by Matching

We propose an optimal-transport-based matching method to nonparametrically estimate linear models with independent latent variables. The… Continue reading.

Manuel Arellano, Stéphane Bonhomme
January 2020

CWP2/20

The Informativeness of Estimation Moments

This paper introduces measures for how each moment contributes to the precision of parameter estimates in… Continue reading.

Bo E. Honoré, Thomas Jorgensen, Áureo de Paula
January 2020

CWP3/20

Previous version

Econometric Models of Network Formation

This article provides a selective review on the recent literature on econometric models of network formation…. Continue reading.

Áureo de Paula
January 2020

CWP4/20

The Housing Stock, Housing Prices, and User Costs: The Roles of Location, Structure and Unobserved Quality

Which housing characteristics are important for understanding homeownership rates? How are housing characteristics priced in the… Continue reading.

Jonathan Halket, Lars Nesheim, Florian Oswald
February 2020

CWP5/20

Partial Identification and Inference for Dynamic Models and Counterfactuals

We provide a general framework for investigating partial identification of structural dynamic discrete choice models and… Continue reading.

Myrto Kalouptsidi, Yuichi Kitamura, Lucas Lima, Eduardo Souza-Rodrigues
February 2020

CWP6/20

Randomization and Social Policy Evaluation Revisited

This paper examines the case for randomized controlled trials in economics. I revisit my previous paper… Continue reading.

James Heckman
February 2020

CWP7/20

Partial Identification and Inference in Duration Models with Endogenous Censoring

This paper studies identification and inference in transformation models with endogenous censoring. Many kinds of duration… Continue reading.

Shosei Sakaguchi
February 2020

CWP8/20

Structural modeling of simultaneous discrete choice

Models of simultaneous discrete choice may be incomplete, delivering multiple values of outcomes at certain values… Continue reading.

Andrew Chesher, Adam Rosen
February 2020

CWP9/20

Latest version

Inference for ranks with applications to mobility across neighborhoods and academic achievement across countries

It is often desired to rank different populations according to the value of some feature of… Continue reading.

Magne Mogstad, Joseph P. Romano, Daniel Wilhelm, Azeem M. Shaikh
March 2020

CWP10/20

When will the Covid-19 pandemic peak?

We carry out some analysis of the daily data on the number of new cases and… Continue reading.

Oliver Linton
April 2020

CWP11/20

Robust Bayesian inference for set-identified models

This paper reconciles the asymptotic disagreement between Bayesian and frequentist inference in set-identified models by adopting… Continue reading.

Raffaella Giacomini, Toru Kitagawa
April 2020

CWP12/20

Previous version

Robust Bayesian inference for set-identified models
Raffaella Giacomini, Toru Kitagawa
November 2018 | CWP61/18
Robust Bayesian inference in proxy SVARs

We develop methods for robust Bayesian inference in structural vector autoregressions (SVARs) where the parameters of… Continue reading.

Raffaella Giacomini, Toru Kitagawa, Matthew Read
April 2020

CWP13/20

Previous version

Robust Bayesian Inference in Proxy SVARs
Raffaella Giacomini, Toru Kitagawa, Matthew Read
July 2019 | CWP38/19
A Multi-Risk SIR Model with Optimally Targeted Lockdown

We study targeted lockdowns in a multi-group SIR model where infection, hospitalization and fatality rates vary… Continue reading.

Daron Acemoglu, Victor Chernozhukov, Ivàn Werning, Michael D. Whinston
May 2020

CWP14/20

Microeconometrics with Partial Identification

This chapter reviews the microeconometrics literature on partial identification, focusing on the developments of the last… Continue reading.

Francesca Molinari
May 2020

CWP15/20

Previous version

Econometrics with Partial Identification
Francesca Molinari
May 2019 | CWP25/19
Sensitivity to Calibrated Parameters

Across many fields in economics, a common approach to estimation of economic models is to calibrate… Continue reading.

Thomas Jorgensen
May 2020

CWP16/20

An Adaptive Test of Stochastic Monotonicity

We propose a new nonparametric test of stochastic monotonicity which adapts to the unknown smoothness of… Continue reading.

Denis Chetverikov, Daniel Wilhelm, Dongwoo Kim
May 2020

CWP17/20

Previous version

An adaptive test of stochastic monotonicity
Denis Chetverikov, Daniel Wilhelm, Dongwoo Kim
October 2019 | CWP49/19
An econometric perspective on algorithmic subsampling

Datasets that are terabytes in size are increasingly common, but computer bottlenecks often frustrate a complete… Continue reading.

Sokbae (Simon) Lee, Serena Ng
May 2020

CWP18/20

Causal inference in case-control studies

We investigate identification of causal parameters in case-control and related studies. The odds ratio in the… Continue reading.

Sung Jae Jun, Sokbae (Simon) Lee
May 2020

CWP19/20

Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem

As a consequence of missing data on tests for infection and imperfect accuracy of tests, reported… Continue reading.

Charles F. Manski, Francesca Molinari
May 2020

CWP20/20