Presentation on issues surrounding reproducibility and confidential data in economics. Part of the CRRESS conference series.The opinions expressed in this talk are solely the authors, and do not represent the views of the U.S. Census Bureau, the American Economic Association, or any of the funding agencies
This paper explores the consequences for economic research of methods used by data publishers to pro...
ERRATUM: This version has the wrong files. Please see a later version!The opinions expressed in this...
Data provenance: what you want is what you should get; Data citations: what you got is not yours. ...
Presentation at ASSA 2022 in the Journal of Econometrics Session: "Econometrics and Data in the 21st...
How does work with proprietary firm data - and more generally, confidential data - fit into the repr...
The American Economic Association's Data Editor has reviewed more than 1,000 empirical articles sinc...
Presentation on " Implementing Increased Transparency and Reproducibility in Economics: Some Lessons...
Presentation at the Banco de Portugal Workshop on Reproducibility of Scientific Results.The opinions...
Innovative Data in Household Finance: Opportunities and Challenges, Fall 2021The opinions expressed ...
Presentation at the University of Wisconsin - Madison's Center for Demography of Health and Aging in...
Disclaimer and acknowledgements: While this column mentions the Census Bureau several times, any opi...
Talk given at the 2022 Toronto Workshop on ReproducibilityThe opinions expressed in this talk are so...
The opinions expressed in this presentation are those of the author and neither the National Science...
Presentation at JSM 2020 in Session "Transparent, Efficient and Accessible Reporting on the Quality ...
In this talk “Principles of Transparent Research: Implementation Challenges,” I discuss the role of ...
This paper explores the consequences for economic research of methods used by data publishers to pro...
ERRATUM: This version has the wrong files. Please see a later version!The opinions expressed in this...
Data provenance: what you want is what you should get; Data citations: what you got is not yours. ...
Presentation at ASSA 2022 in the Journal of Econometrics Session: "Econometrics and Data in the 21st...
How does work with proprietary firm data - and more generally, confidential data - fit into the repr...
The American Economic Association's Data Editor has reviewed more than 1,000 empirical articles sinc...
Presentation on " Implementing Increased Transparency and Reproducibility in Economics: Some Lessons...
Presentation at the Banco de Portugal Workshop on Reproducibility of Scientific Results.The opinions...
Innovative Data in Household Finance: Opportunities and Challenges, Fall 2021The opinions expressed ...
Presentation at the University of Wisconsin - Madison's Center for Demography of Health and Aging in...
Disclaimer and acknowledgements: While this column mentions the Census Bureau several times, any opi...
Talk given at the 2022 Toronto Workshop on ReproducibilityThe opinions expressed in this talk are so...
The opinions expressed in this presentation are those of the author and neither the National Science...
Presentation at JSM 2020 in Session "Transparent, Efficient and Accessible Reporting on the Quality ...
In this talk “Principles of Transparent Research: Implementation Challenges,” I discuss the role of ...
This paper explores the consequences for economic research of methods used by data publishers to pro...
ERRATUM: This version has the wrong files. Please see a later version!The opinions expressed in this...
Data provenance: what you want is what you should get; Data citations: what you got is not yours. ...
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