Research data

Novel Estimates of Mortality Associated with Poverty in the U.S. -- Replication materials

Brady, David; Kohler, Ulrich; Zheng, Hui

GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2528

Abstract: These are replication files for the paper "Brady D, Kohler U, Zheng H. Novel Estimates of Mortality Associated With Poverty in the US. JAMA Intern Med. Published online April 17, 2023. doi:10.1001/jamainternmed.2023.0276" The package contains all Stata do-Files to replicate all the 980 regression models run for the project, as well as the do-files to re-produce the graphs and the MS Word formatted tables.

Availability: Free access (without registration)

Subject area: Medical Sociology

Topics: Mortality | Social inequality | Morbidity

Methodology

Date(s) of Data Collection: 1997; 2019

Geographic coverage: United States of America / US

Universe: US American resident population

Sampling Procedure: All person aged 15+ in 1997 from the PSID; see the description of PSID sample on https://psidonline.isr.umich.edu/

Temporal Research Design: 1997-2019

Mode of Data Collection: Face-to-face interview

Bibliographic information

Primärforschende, Institution: Brady, David; University of California, Riverside & WZB Berlin Social Science Center | Kohler, Ulrich; University of Potsdam | Zheng, Hui; The Ohio State University

Publication year: 2023

DOI: 10.7802/2528

Study number: SDN-10.7802-2528

Publisher: GESIS, Cologne

Versions

Current Version: 1.0.0, https://doi.org/10.7802/2528

Reference publications

Publications: Brady D, Kohler U, Zheng H. Novel Estimates of Mortality Associated With Poverty in the US. JAMA Intern Med. Published online April 17, 2023. doi:10.1001/jamainternmed.2023.0276

Downloads

Datasets

Syntax file

Codebook

Actions

Cite

Brady, David, Kohler, Ulrich, & Zheng, Hui (2023). Novel Estimates of Mortality Associated with Poverty in the U.S. -- Replication materials. GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2528.

Download

MD5:	4ffc60364513d5bc702de9a360c23f14
Type of file:	Research Data
File size:	230.58 KB
Number of variables:	22
Number of units:	980
Source	Panel Study of Income Dynamics (PSID); Cross National Equivalence File (CNEF)
Software and Version	Stata 17
Additional information about the file	This Stata data files contains coefficients, standard errors and fit statistics of 980 survival time cox regressions, as well as some additional statistics such as poverty rates and the "Population attributable fraction" (PAF) calculated from those models. We refer to this file as the "resultsset". The resultsset is being created by povmor_an01V3.do and is used by povmor_gr01V4.do to create the figures of the paper and by povmor_tab01V3.do to create the tables. Note that the subsequent do-files expect that the resultsset is being stored in the subdirectory "stout/".

MD5:	529369a83d10db16bf7d74a86b4d7fba
Type of file:	Syntax
File size:	27.78 KB
Software and Version	Stata 17
Additional information about the file	This do-file creates the variables, runs all the 980 regression models, and stores the results of those models in a Stata dataset (stout/povmor_an01V3_resultsset.dta). The do-file requires access to the WZB-PSID file which can be created by registered PSID users with wzbpsid_2019V4_retrival.do. The resultsset, i.e. "povmor_an01V3_resultsset.dta" is also part of this data package. Note that this do-file runs several hours on standard computers.

MD5:	8a86e1abb06310498a01930928971ff7
Type of file:	Syntax
File size:	28.23 KB
Software and Version	Stata 17
Additional information about the file	This do-file creates all graphs shown in the paper and appendices. The do-file relies on povmor_an01V3_resultsset.dta which is created by povmor_an01V3.do and which is also part of this package.

MD5:	9cdc5fbe6d8ff78108d5780fa289054f
Type of file:	Syntax
File size:	1.13 KB
Software and Version	Stata 17
Additional information about the file	This do-file, i.e. -povmor_main.do- documents the order in which the do-files must run to replicate all the results of the paper.