Data and code for: Bartik Instruments: What, When, Why, and How

Principal Investigator(s): View help for Principal Investigator(s) Paul Goldsmith-Pinkham, Yale School of Management; Isaac Sorkin, Stanford; Henry Swift, Independent Researcher

Version: View help for Version V1

Name	File Type	Size	Last Modified
card_code			02/02/2020 11:56:AM
bartik_weight.ado	text/plain	3.1 KB	05/24/2019 06:10:AM
btsls.ado	text/plain	3.9 KB	05/24/2019 06:10:AM
ch_weak.ado	text/plain	1013 bytes	05/24/2019 06:10:AM
color-dblue.style	text/plain	20 bytes	05/24/2019 06:10:AM
color-dred.style	text/plain	19 bytes	05/24/2019 06:09:PM
config_stata.do	text/x-stata-syntax	417 bytes	02/23/2020 04:14:PM
create_bartik_data.do	text/x-stata-syntax	13.9 KB	05/24/2019 05:50:PM
make_ADH_table.do	text/x-stata-syntax	8.2 KB	03/28/2020 10:53:AM
make_BAR_table.do	text/x-stata-syntax	10.9 KB	05/24/2019 06:17:PM

Project Description

Summary: This repository contains code and data associated with our paper title "Bartik Instruments: What, When, Why, and How." The abstract of the paper is: The Bartik instrument is formed by interacting local industry shares and national industry growth rates. We show that the typical use of a Bartik instrument assumes a pooled exposure research design, where the shares measure differential exposure to common shocks, and identification is based on exogeneity of the shares. Next, we show how the Bartik instrument weights each of the exposure designs. Finally, we discuss how to assess the plausibility of the research design. We illustrate our results through two applications: estimating the elasticity of labor supply, and estimating the elasticity of substitution between immigrants and natives.

Scope of Project

Subject Terms: [Identification; , Bartik; , shift-share; ]

JEL Classification:
C18 Methodological Issues: General

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Published Versions

V1 [2020-07-23]

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DDI 2.5

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