Journal

https://doi.org/10.1257/app.20190589

https://www.openicpsr.org/openicpsr/project/121602/version/V1/view

Some of the data and all codes for this paper are available on the Journal website. The authors did not publish parts of their data because access to these data is restricted (e.g., data from Statistics Norway). The authors describe how to obtain the restricted data in the Readme file.

Will Studying Economics Make You Rich? A Regression Discontinuity Analysis of the Returns to College Major

https://doi.org/10.1257/app.20200447

https://www.openicpsr.org/openicpsr/project/126941/version/V1/view

The authors did not publish parts of their data because access to these data is restricted (i.e., UC SC data). The authors describe how to obtain the restricted data in the Readme file.

https://doi.org/10.1257/app.20190199

https://www.openicpsr.org/openicpsr/project/120341/version/V2/view

The authors did not publish parts of their data because access to these data is restricted. The final data set for robustness replication is available from the Institute for Evaluation of Labour Market and Education Policy. The authors describe how to obtain the restricted raw data in the Readme file.

https://doi.org/10.1257/app.20200204

https://www.openicpsr.org/openicpsr/project/127441/version/V1/view

The authors did not publish parts of their data because access to these data is restricted. The authors describe how to obtain the restricted data in the Readme file.

https://doi.org/10.1257/app.20200135

https://www.openicpsr.org/openicpsr/project/129302/version/V1/view

The author did not publish parts of their data because access to these data is restricted. The author describes how to obtain the restricted data in the Readme file.

https://doi.org/10.1257/app.20200407

https://www.openicpsr.org/openicpsr/project/127261/version/V1/view

Most data and codes to reproduce main exhibits are available in Additional Materials. The confidential version of the National Household Travel Survey is not provided.

https://doi.org/10.1257/app.20190007

https://www.openicpsr.org/openicpsr/project/122381/version/V1/view

The authors did not publish parts of their data because access to these data is restricted. The authors describe how to obtain the restricted data in the Readme file.

https://doi.org/10.1257/app.20200360

https://www.openicpsr.org/openicpsr/project/134781/version/V1/view

The raw data is subject to privacy restrictions that prevent me from making it public.

https://doi.org/10.1257/app.20200631

https://www.openicpsr.org/openicpsr/project/141761/version/V1/view

To fully replicate the paper results using WID data, it is necessary to use an online interface (https://wid.world/gpinter/).

https://doi.org/10.1257/app.20170656

https://www.openicpsr.org/openicpsr/project/128442/version/V1/view

Looking for replicator who has access to NBER servers and willing to re-do part of the merging.

https://doi.org/10.1257/app.20210151

https://www.openicpsr.org/openicpsr/project/151642/version/V1/view

Looking for replicator who has access to the confidential data.

https://doi.org/10.1257/app.20190629

https://www.openicpsr.org/openicpsr/project/119472/version/V2/view

The data are restricted access, see Readme file.

https://doi.org/10.1257/app.20200405

https://www.openicpsr.org/openicpsr/project/144581/version/V1/view

Some of the data from Statistics Sweden are not publicly available. See Readme for me details.

https://doi.org/10.1257/app.20200467

https://www.openicpsr.org/openicpsr/project/130363/version/V1/view

The empirical analyses rely primarily on two restricted-use data sources. See Readme for more information.

https://doi.org/10.1257/app.20180686

https://www.openicpsr.org/openicpsr/project/128301/version/V1/view

The data are restricted access but can be obtained from the Biolincc data archive which can be found on-line at https://biolincc.nhlbi.nih.gov/home/. To access this data, a process which can take several weeks, the user will need to obtain an IRB exemption, provide a (simple) computer security plan, and obtain institutional approval (e.g., from your university or institution).

https://doi.org/10.1257/app.20200367

https://www.openicpsr.org/openicpsr/project/130686/version/V1/view

Michael Bailey, Drew Johnston, Theresa Kuchler, Johannes Stroebel and Arlene Wong

Researcher needs to obtain authorized access to the data directly from Facebook. Researchers interested in working with the de-identified confidential Facebook data can send inquiries to Michael Bailey (mcbailey@fb.com). The onboarding process may take several months, and researchers should expect to be subject to extensive background checks.

https://doi.org/10.1257/app.20190297

https://www.openicpsr.org/openicpsr/project/147961/version/V1/view

This paper uses restricted NCHS data, because it requires the education of the deceased, which was not reported in public NCHS files beginning around 2005. These restricted data cannot be included in the replication package.

https://doi.org/10.1257/app.20180721

https://www.openicpsr.org/openicpsr/project/142721/version/V1/view

The data are restricted access, see Readme file.

https://doi.org/10.1257/app.20190721

https://www.openicpsr.org/openicpsr/project/120607/version/V1/view

The data are restricted access, see Readme file.

https://doi.org/10.1257/app.20190038

https://www.openicpsr.org/openicpsr/project/132601/version/V1/view?path=/openicpsr/132601/fcr:versions/V1/data_submission&type=folder

The data are restricted access, see Readme file.

https://doi.org/10.1257/app.20200615

https://www.openicpsr.org/openicpsr/project/141461/version/V1/view

The data are restricted access, see Readme file.

https://doi.org/10.1257/app.20210048

https://www.openicpsr.org/openicpsr/project/142482/version/V1/view

Access to the data (all three databases) first requires broad VHA data access, which can be obtained by either becoming an employed VA investigator (research or operations) or partnering with such an investigator who will sponsor the user as a federal Worker Without Compensation.

https://doi.org/10.1257/app.20190428

https://www.openicpsr.org/openicpsr/project/130327/version/V1/view

The data are restricted access, see Readme file.

https://doi.org/10.1257/app.20210184

https://www.openicpsr.org/openicpsr/project/145341/version/V1/view

The data are restricted access, see Readme file.

https://doi.org/10.1257/app.20200703

https://www.openicpsr.org/openicpsr/project/150641/version/V1/view

Restrcted use. The EU-SILC data are confidential, but [may be obtained by researchers at any accredited institution through Eurostat](https://ec.europa.eu/eurostat/web/microdata/european-union-statistics-on-income-and-living-conditions). The procedure requires the approval of the research proposal and takes about 8 weeks.

https://doi.org/10.1257/app.20200448

https://www.openicpsr.org/openicpsr/project/138942/version/V1/view

Access to the data is restricted and protected according to §8, chapter 24 of the Public Access to Information and Secrecy Act (2009:400). Researchers wishing to replicate the results in the paper can apply for access to the analysis data from the Institute for Evaluation of Labour Market and Education Policy (IFAU). Researchers located within the EU will in general be able to access the data for replication purposes, through a remote connection to IFAU’s servers or using a terminal on location at IFAU. However, IFAU will make a formal decision on a case-by-case basis, after examination pursuant to chapter 24, §8 of the Public Access to Informatio and Secrecy Act (2009:400), to disclose analysis data with a reservation of secrecy in accordance with chapter 10, §14 of the Public Access to Information and Secrecy Act.

https://doi.org/10.1257/app.20210045

https://www.openicpsr.org/openicpsr/project/144941/version/V1/view

The Youth Socialization Survey and GSS survey data are restricted. The Youth Socialization Survey data can be obtained from ICPSR, and available only to users at ICPSR member institutions. The GSS data for this project uses publicly available data combined with confidential geographic identifiers.

https://doi.org/10.1257/app.20200787

https://www.openicpsr.org/openicpsr/project/153522/version/V1/view

Most of the data for this project are confidential. Researchers wishing to replicate the results may contact the BCB, at which point they will be required to sign a non-disclosure agreement and obtain permission from the BCB for access to the data.

https://doi.org/10.1257/app.20210292

https://www.openicpsr.org/openicpsr/project/150681/version/V1/view

The information used in the analysis combines several Swedish administrative registers (as described in the paper). The data use is subject to the European Union’s General Data Protection Regulation(GDPR) from May 2018. The data are physically stored on computers at Statistics Sweden and, due to security considerations, the data may not be transferred to computers outside Statistics Sweden

https://doi.org/10.1257/app.20200669

https://www.openicpsr.org/openicpsr/project/155862/version/V1/view

Some data cannot be made publicly available. Data on debarment and labor market: the results in the paper use confidential microdata from Controladoria Geral da União (CGU) and Ministério da Economia, government agencies in Brazil. Researchers interested in using debarment data should execute a data use agreement with CGU and arrange for secure access.

https://doi.org/10.1257/app.20200662

https://www.openicpsr.org/openicpsr/project/144601/version/V1/view

The home assessor data we use is a compilation provided by CoreLogic, Inc. through a data agreement with Stanford University. We are not able to make these data or their metadata available following the terms of the agreement. Without access to the proprietary data used in the paper, much of the code will not be runnable by replicators.

https://doi.org/10.1257/app.20210383

https://www.openicpsr.org/openicpsr/project/158281/version/V1/view

The data for this project (Caldwell, Nelson, and Waldinger, 2022) are confidential. This is because tax data can, according to IRS, only be accessed internally at the OFE. The survey data and credit reports can also, according to the consent provided by filers, only be accessed internally at the OFE.

https://doi.org/10.1257/app.20210500

https://www.openicpsr.org/openicpsr/project/165401/version/V1/view

To replicate the analysis, access to the HCUP data is required which requires an IRB approval. The authors gained access to HCUP data through the National Bureau of Economic Research: https://www.nber.org . Access can also be requested through https://www.hcup-us.ahrq.gov/tech_assist/centdist.jsp

Natural Resource Booms, Human Capital, and Earnings: Evidence from Linked Education and Employment Records

https://doi.org/10.1257/app.20200762

https://www.openicpsr.org/openicpsr/project/160561/version/V1/view

The main data used in this paper is restricted access and comes from the Texas Education Agency (TEA), the Texas Higher Education Coordinating Board (THECB), and the Texas Workforce Commission (TWC). The data is housed at the Texas Education Research Center (ERC) at the University of Texas at Austin. I supplement this data with restricted access data from Enverus

https://doi.org/10.1257/app.20210194

https://www.openicpsr.org/openicpsr/project/157361/version/V1/view

The main data for this project are all proprietary and confidential but may be obtained by signing Data Use Agreements with INPS (the Italian social security administration), ISTAT (the Italian statistical institute), Infocamere (the data service of the Italian Chambers of commerce) and the Ministry of Interior that collects AIRE data (the registries of Italians resident abroad), as described below. Some of the data are available on the ISTAT and Infocamere websites at a less granular geographical breakdown.

https://doi.org/10.1257/app.20210074

https://www.openicpsr.org/openicpsr/project/152903/version/V1/view

Use of the confidential NETS datasets for a few tables

https://doi.org/10.1257/app.20200398

https://www.openicpsr.org/openicpsr/project/144281/version/V1/view

Political economy

Some data not provided but canbe downloaded

https://doi.org/10.1257/aer.20190609

https://www.openicpsr.org/openicpsr/project/183448/version/V1/view

Some data are not publicly available. See README for instructions to access microdata.

https://doi.org/10.1257/aer.20210254

https://www.openicpsr.org/openicpsr/project/182862/version/V1/view

Some data are not publicly available. See README for instructions to access. One of the master files can be run within the Federal Research Data Center to produce tables/figures that rely on restricted data from the U.S. Census Bureau.

https://doi.org/10.1257/aer.20181662

https://www.openicpsr.org/openicpsr/project/182681/version/V1/view

Some data are not publicly available. See README for instructions to access.

https://doi.org/10.1257/aer.20210182

https://www.openicpsr.org/openicpsr/project/181166/version/V1/view

Need Burning Glass data and SSA-ASEC Data

https://doi.org/10.1257/aer.20201434

https://www.openicpsr.org/openicpsr/project/179522/version/V1/view

The primary data source contains confidential information about irrigators in Australia and is restricted-use. Accessing the data can occur through a nondisclosure agreement (“confidentiality deed”) with the Australian Department of Agriculture, Fisheries, and Forestry (formerly the Australian Department of Agriculture and Water Resources) of the Commonwealth of Australia.

https://doi.org/10.1257/aer.20210461

https://www.openicpsr.org/openicpsr/project/167262/version/V1/view

Abhijit Banerjee, Rema Hanna, Benjamin A. Olken, Elan Satriawan, Sudarno Sumarto

SUSENAS data for March 2016 and March 2017, and PODES data may be purchased from BPS directly. The remaining datasets are confidential and may not necessarily be shared outside the Government of Indonesia. Researchers interested in accessing confidential data may contact TNP2K to discuss the possibility of negotiating a data use agreement.

https://doi.org/10.1257/aer.20220129

https://www.openicpsr.org/openicpsr/project/178302/version/V1/view

Some of the data are not included in replication package

https://doi.org/10.1257/aer.20191594

https://www.openicpsr.org/openicpsr/project/181143/version/V1/view

This paper uses several publicly accessible data sources, exact copies of which are included in the replication package, and one commercially accessible data source, which is not included.

https://doi.org/10.1257/aer.20201220

https://www.openicpsr.org/openicpsr/project/181661/version/V1/view

Some of the data used in the paper are not publicly available and are thus not included in the replication package: the Blue Chip survey forecasts, the high-frequency monetary policy surprises, the macroeconomic data release surprises, and some financial market data.

https://doi.org/10.1257/aer.20210147

https://www.openicpsr.org/openicpsr/project/177001/version/V1/view

The replication package provides code and the data needed to replicate all the results of the paper in less than one day – except for the S&P Global Ratings (nd) data and the corresponding set of results.

https://doi.org/10.1257/aer.20210434

https://www.openicpsr.org/openicpsr/project/182903/version/V1/view

The data for this project are confidential, but may be obtained with Data Use Agreements with the Chicago Public Schools, the Chicago Police Department, and Saga Education. Detailed instructions for obtaining this data are included in the accompanying document entitled "AER_Data_Availability_Statement_w_detailed_instructions.pdf"

https://doi.org/10.1257/aer.20190609

https://www.openicpsr.org/openicpsr/project/183448/version/V1/view

All the results in the paper use confidential microdata from INSEE

https://doi.org/10.1257/aer.20210254

https://www.openicpsr.org/openicpsr/project/182862/version/V1/view

Some data are not publicly available. See README for instructions to access. One of the master files can be run within the Federal Research Data Center to produce tables/figures that rely on restricted data from the U.S. Census Bureau.

https://doi.org/10.1086/722227

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/BAE6IH

https://doi.org/10.1086/721801

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/XKBJ0Q

The project pulls from two data sources: experimental data and restricted access data from Norwegian administrative registers. Tungodden and Willén (2023) provides an anonymized version of the experimental data and instructions for how to obtain the restricted access data from Norwegian administrative registers.

https://doi.org/10.1086/721619

https://www.journals.uchicago.edu/doi/suppl/10.1086/721619/suppl_file/20180625data.zip

ASER data may be obtained by contacting ASER India: http://www.asercentre.org/. Annual Survey of Industries (ASI) needs to be obtained from MOSPI India.

https://doi.org/10.1086/721657

https://www.journals.uchicago.edu/doi/suppl/10.1086/721657/suppl_file/2015397data.zip

The analysis in this paper is based on a 2 percent of the German Social Security data made available by the Institute for Labor Market Research (IAB) in Nuremberg, which included records for the years 1975-2004.

https://doi.org/10.1086/721230

https://www.journals.uchicago.edu/doi/suppl/10.1086/721230/suppl_file/20180139data.zip

Monique De Haan, Pieter A. Gautier, Hessel Oosterbeek, and Bas van der Klaauw

Interested researchers should obtain permission for use of these administrative data from the service DMO (Dienst Maatschappelijke Ontwikkeling) of the city of Amsterdam. The authors of this study can assist with this.

https://doi.org/10.1086/720467

https://www.journals.uchicago.edu/doi/suppl/10.1086/720467/suppl_file/2016091data.zip

Data not publicly available. See Readme for info on how to obtain IRS tax data via the Statistics of Income Joint Statistical Research Program

https://doi.org/10.1086/720396

https://www.journals.uchicago.edu/doi/suppl/10.1086/720396/suppl_file/20200045data.zip

https://www.journals.uchicago.edu/doi/full/10.1086/720460

https://www.journals.uchicago.edu/doi/suppl/10.1086/720460/suppl_file/20180117data.zip

https://doi.org/10.1257/pol.20200212

https://www.openicpsr.org/openicpsr/project/147621/version/V1/view

Some data cannot be made publicly available. Parts of section 3 and section 4 of this study use confidential data from S&P Capital IQ database, for which access can be purchased using this link: https://www.capitaliq.com/.

https://doi.org/10.1257/pol.20180323

https://www.openicpsr.org/openicpsr/project/165921/version/V1/view

Some of the data need to be downloaded (in German). But full replication is possible.

https://doi.org/10.1257/pol.20200561

https://www.openicpsr.org/openicpsr/project/148041/version/V1/view

The main data source used in the paper is the Virginia Longitudinal Data System (VLDS). The data is not publicly available to download, but can be accessed by researchers submitting a proposal to conduct studies related to the research priorities of one of the agencies submitting data to VLDS from the Commonwealth of Virginia. The procedure to obtain access is available at: https://vlds.virginia.gov/insights. Virginia’s Department of Social Services was the agency sponsor for this project. There is no fee to access the data. Researchers must sign a data use agreement. If accessing data from the Virginia Employment Commission, as used in this paper, researchers must also certify they have passed a background check and sign a non-disclosure agreement.

https://doi.org/10.1257/pol.20200076

https://www.openicpsr.org/openicpsr/project/155601/version/V1/view

Enrico Miglino, Nicolás Navarrete H., Gonzalo Navarrete H. and Pablo Navarrete H.

The data is restricted to research purposes only and can be downloaded without charge on the following link https://www.previsionsocial.gob.cl/sps/biblioteca/encuesta-de-proteccion-social/bases-de-datos-eps/ . All other datasets were provided by the Chilean Pension Institute and are confidential. They can be obtained by signing Data Use Agreements conditional on approval from the Chilean Pension Institute. Researchers interested in access to this data should contact Patricio Alejandro Coronado Rojo at patricio.coronado@ips.gob.cl. The authors will assist with any reasonable replication attempts for two years following publication

Coauthorship 2nd meta paper. No payment, but we help buying the data. (Or payment USD 5,000 if you already have the data.)

https://doi.org/10.1257/pol.20200539

https://www.openicpsr.org/openicpsr/project/146961/version/V1/view

Some of the data is provided. Paper also uses confidential data; Austin Board of Realtors and Austin Energy.

https://doi.org/10.1257/pol.20200603

https://www.openicpsr.org/openicpsr/project/142221/version/V1/view

Elizabeth Linos, Allen Prohofsky, Aparna Ramesh, Jesse Rothstein and Matthew Unrath

Restricted data. From the Readme: "Researchers wanting to replicate our analysis will need to obtain permission from both FTB and CDSS. Interested researchers should contact us directly. The California Policy Lab will help to facilitate replication efforts, given agency approval."

https://doi.org/10.1257/pol.20190628

https://www.openicpsr.org/openicpsr/project/134661/version/V1/view

The data are confidential, but may be obtained with Data Use Agreements with the Centers of Medicaid and Medicare Services (CMS).

https://doi.org/10.1257/pol.20190573

https://www.openicpsr.org/openicpsr/project/145941/version/V1/view

The STAR and North Carolina data (henceforth: N.C. data) used in this paper are restricted-access.

https://www.aeaweb.org/articles?id=10.1257/pol.20200343

https://www.openicpsr.org/openicpsr/project/146541/version/V1/view

SOEP data publicly available. Usually provided within short time period. See Readme for more details.

https://doi.org/10.1257/pol.20200301

https://www.openicpsr.org/openicpsr/project/146542/version/V1/view

NCANDS Child Files for FFY 2006-2017 were obtained through a restricted data agreement with the National Data Archive on Child Abuse and Neglect (NDACAN) at Cornell University. Members of the research community can apply for access to the NCANDS Child Files.

https://doi.org/10.1257/pol.20200778

https://www.openicpsr.org/openicpsr/project/142321/version/V1/view

The restricted-use data can be obtained by contacting the registrar’s office at the American University of Beirut.

https://doi.org/10.1257/pol.20200258

https://www.openicpsr.org/openicpsr/project/142381/version/V1/view

Some of the data is provided. Due to confidentiality agreements with the two cantons the indiviudal-level data cannot be publicly shared.

https://doi.org/10.1257/pol.20150252

https://www.openicpsr.org/openicpsr/project/151222/version/V1/view

Combination of publicly available data from various sources and restricted access data from the Statistics Netherlands (CBS).

Childhood Housing and Adult Outcomes: A Between-Siblings Analysis of Housing Vouchers and Public Housing

https://doi.org/10.1257/pol.20180144

https://www.openicpsr.org/openicpsr/project/151181/version/V1/view

Paper uses confidential microdata from the U.S. Census Bureau. See Readme for more details.

https://doi.org/10.1257/pol.20200172

https://www.openicpsr.org/openicpsr/project/143081/version/V1/view

Paper uses confidential microdata (Medicaid enrollment data (Oregon DMAP, 2016).

https://doi.org/10.1257/aeri.20210550

https://www.openicpsr.org/openicpsr/project/164522/version/V1/view

Some of the data unavailable: Mergent (2021), Fixed Income Securities Database, Requires a data license through Wharton Research Data Services. And National Association of Insurance Commissioners (1994-2019), Annual Life InfoPro Schedule D, Requires a data license through the NAIC, Purchased from the NAIC

https://doi.org/10.1257/aeri.20210711

https://www.openicpsr.org/openicpsr/project/171901/version/V1/view

John Ameriks,Andrew Caplin,Minjoon Lee,Matthew D. Shapiro,Christopher Tonetti

The VRI data contain non-public information that cannot be freely disclosed. This package contains the code using the VRI data, but not the data.

https://doi.org/10.1257/aeri.20210591

https://www.openicpsr.org/openicpsr/project/162641/version/V1/view

Researchers interested in obtaining the data could apply for a permission from the Ethical Review Board (ERB) at https://etikprovningsmyndigheten.se/.

https://doi.org/10.1257/aeri.20210485

https://www.openicpsr.org/openicpsr/project/159541/version/V1/view

Political economy

The main data used in the analysis is the restricted-use U.S. administrative natality data between 1994 and 2019 from the National Center for Health Statistics (NCHS). Researchers interested in obtaining access to this data are required to submit a written application to gain approval from NCHS.

https://doi.org/10.1093/qje/qjac005

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/0VAVEK

Some data are publicly available, and others cannot be made publicly available (microdata from European Community Household Panel).

https://doi.org/10.1093/qje/qjac006

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/PAGZ9Y

This project uses administrative data from Costa Rica. To gain access to the restricted data contact Alonso Alfaro-Urena (alfaroua@bccr.fi.cr) from the Central Bank of Costa Rica.

https://doi.org/10.1093/qje/qjac004

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/ZOOWEA

Main Data is confidential, researchers must receive permission from National Belgium Bank(NBB).The rest of data sources are publicly available.

https://doi.org/10.1093/qje/qjac009

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/5T66VK

Data can be obtained from ATTOM, Atlas Investment Research, Cook County Assessor's Office or another source.

Valuing the Global Mortality Consequences of Climate Change Accounting for Adaptation Costs and Benefits

https://doi.org/10.1093/qje/qjac020

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/FXXLYZ

All non-confidential data inputs are publicly available. Some input data are confidential (e.g., mortality records in some countries)

https://doi.org/10.1093/qje/qjac018

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OHGOEV

The administrative data is proprietary data from Statistics Sweden that is accessed via their secure server MONA. It cannot be shared directly with other researchers.

https://doi.org/10.1093/qje/qjac014

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DXVCFD

Data sources from Statistics Sweden. No readme file.

https://doi.org/10.1093/qje/qjac017

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/HZKNIR

Nearly all of the analysis uses confidential administrative data.Researchers interested in replicating the analysis must request access from the Social Security Administration through the Office of Data Exchange and International Agreements (ssa.gov/dataexchange)

https://doi.org/10.1093/qje/qjac022

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/KP9RZX

Some data cannot be made publicly available(Confidential microdata from Statistics Sweden, University of Gothenburg, and the Swedish War Archives).

https://doi.org/10.1093/qje/qjac026

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/JLKZ17

Kyle Greenberg, Matthew Gudgeon, Adam Isen, Corbin Miller, Richard Patterson

The data is a combination of restricted-use administrative data from the Department of Defense, the IRS, as well as some supplementary publicly-available data. These files are stored securely on an IRS server and are available to those with relevant permission to access for purposes of replication.

https://doi.org/10.1093/qje/qjac023

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/XNVR4G

All of the analysis uses data from restricted data sources.Researchers interested in replicating the analysis must request access from U.S. Census Bureau and NCERDC.

https://doi.org/10.1093/qje/qjac029

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/SDX3XM

Some data require purchase, some can be downloaded,others cannot be made publicly available.

https://doi.org/10.1093/qje/qjac036

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/BOU7XR

This study uses confidential student-level data from Boston Public Schools (BPS) and the Massachusetts. Department of Elementary and Secondary Education (MA DESE)

https://doi.org/10.1093/qje/qjac033

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/JKFYMJ

Micro data is not available for public disclosure.It is available to researchers with permission.

https://doi.org/10.1093/qje/qjac032

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DPO4BS

Some data are publicly available, some are confidential.

https://doi.org/10.1093/qje/qjad001

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/2CGZ3Q

Political economy

Some data cannot be made publicly available. Researchers can obtain the full dataset from the German Federal Archives.

https://doi.org/10.1093/ej/ueac069

https://doi.org/10.5281/zenodo.6974389

The authors were granted an exemption to publish their data because access to the data is restricted.

https://doi.org/10.1093/ej/ueac058

https://doi.org/10.5281/zenodo.7030273

The authors were granted an exemption to publish their data because access to the data is restricted.