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The monadic database contains estimates, for each country-year, of the aggregate value of the subset of flows that are observed twice independently by \"home\" and partner countries, and a derived ABBA factor indicating the size of monadic ABBA discrepancies relative to the size of the trade value. The higher the monadic ABBA factor, the lower the inferred measurement quality. Monadic ABBA factors are available for imports, exports and total trade. The databases are provided in dta and csv format. Variables are defined in the codebook. Furthermore, we provide the do-files with the STATA code that were used to generate the weighed averages and monadic ABBA values. Researchers should feel free to adapt those codes according to their own needs. The rationale of the databases and recommendations for researchers are described in more detail in the underlying journal article published in International Studies Quarterly.","citation:dsDescriptionDate":"2023-01-09"},"citation:keyword":{"citation:keywordValue":"trade"},"dateOfDeposit":"2023-01-09","citation:depositor":"Linsi, Lukas","title":"Mirror Trade Database V2 (1948-2021)","subject":"Social Sciences","@id":"https://doi.org/10.7910/DVN/HOOTBB","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"2.0","schema:name":"Mirror Trade Database V2 (1948-2021)","schema:dateModified":"2023-03-25 09:26:09.725","schema:datePublished":"2023-01-09","schema:license":"http://creativecommons.org/publicdomain/zero/1.0","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":true},"schema:includedInDataCatalog":"Harvard Dataverse","schema:isPartOf":{"schema:name":"Mirror Trade Dataverse","@id":"https://dataverse.harvard.edu/dataverse/mirrortrade","schema:description":"Open access databased with historical mirror trade statistics at dyadic (bilateral) and monadic (country) level (1948-2021), derived from IMF DOTS. 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