<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Transparency, Reproducibility, and the Credibility of Economics Research</titl><IDNo agency="DOI">doi:10.7910/DVN/O5QBHM</IDNo></titlStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distDate>2020-09-09</distDate></distStmt><verStmt source="archive"><version date="2020-09-09" type="RELEASED">1</version></verStmt><biblCit>Christensen, Garret; Miguel, Edward, 2020, "Transparency, Reproducibility, and the Credibility of Economics Research", https://doi.org/10.7910/DVN/O5QBHM, Harvard Dataverse, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Transparency, Reproducibility, and the Credibility of Economics Research</titl><IDNo agency="DOI">doi:10.7910/DVN/O5QBHM</IDNo></titlStmt><rspStmt><AuthEnty>Christensen, Garret</AuthEnty><AuthEnty affiliation="University of California Berkeley">Miguel, Edward</AuthEnty></rspStmt><prodStmt/><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><contact affiliation="University of California Berkeley" email="emiguel@berkeley.edu">Miguel, Edward</contact><depositr>Miguel, Edward</depositr><depDate>2020-09-09</depDate></distStmt><holdings URI="https://doi.org/10.7910/DVN/O5QBHM"/></citation><stdyInfo><subject><keyword xml:lang="en">Social Sciences</keyword><keyword>transparency</keyword><keyword>reproducibility</keyword></subject><abstract date="2018-09-03">There is growing interest in enhancing research transparency and reproducibility in economics and other scientific fields. We survey existing work on these topics within economics, and discuss the evidence suggesting that publication bias, inability to replicate, and specification searching remain widespread in the discipline. We next discuss recent progress in this area, including through improved research design, study registration and pre-analysis plans, disclosure standards, and open sharing of data and materials, drawing on experiences in both economics and other social sciences. We discuss areas where consensus is emerging on new practices, as well as approaches that remain controversial, and speculate about the most effective ways to make economics research more credible in the future.</abstract><sumDscr/></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/><notes type="DVN:TOU" level="dv">&lt;a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0&lt;/a></notes></dataAccs><othrStdyMat><relPubl><citation><titlStmt><titl>Christensen, Garret, and Edward Miguel. 2018. "Transparency, Reproducibility, and the Credibility of Economics Research." Journal of Economic Literature, 56 (3): 920-80.</titl><IDNo agency="doi">DOI: 10.1257/jel.20171350</IDNo></titlStmt><biblCit>Christensen, Garret, and Edward Miguel. 2018. "Transparency, Reproducibility, and the Credibility of Economics Research." Journal of Economic Literature, 56 (3): 920-80.</biblCit></citation><ExtLink URI="https://www.aeaweb.org/articles?id=10.1257/jel.20171350"/></relPubl></othrStdyMat></stdyDscr><otherMat ID="f4062307" URI="https://dataverse.harvard.edu/api/access/datafile/4062307" level="datafile"><labl>_README_TransparencyReproducibility.txt</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat></codeBook>