{"data":{"id":"10.7910/dvn/iah6z6","type":"dois","attributes":{"doi":"10.7910/dvn/iah6z6","prefix":"10.7910","suffix":"dvn/iah6z6","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Cavallo, Alberto","nameType":"Personal","givenName":"Alberto","familyName":"Cavallo","affiliation":["MIT"],"nameIdentifiers":[]}],"titles":[{"title":"Cavallo (2018) \"Scraped Data and Sticky Prices\". Review of Economics and Statistics, Vol. 100, p.105-119"}],"publisher":"Harvard Dataverse","container":{},"publicationYear":2015,"subjects":[{"subject":"Business and Management"},{"subject":"FOS: Economics and business","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Social Sciences"},{"subject":"Scraped data"},{"subject":"Online Prices"},{"subject":"Price Stickiness"}],"contributors":[{"name":"Cavallo, Alberto","nameType":"Personal","givenName":"Alberto","familyName":"Cavallo","affiliation":["MIT"],"contributorType":"ContactPerson","nameIdentifiers":[]}],"dates":[{"date":"2015-07-05","dateType":"Submitted"},{"date":"2015-07-06","dateType":"Available"},{"date":"2018-04-17","dateType":"Updated"},{"date":"2015","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"HasPart","relatedIdentifier":"10.7910/dvn/iah6z6/lkjwll","relatedIdentifierType":"DOI"},{"relationType":"HasPart","relatedIdentifier":"10.7910/dvn/iah6z6/juxpib","relatedIdentifierType":"DOI"},{"relationType":"HasPart","relatedIdentifier":"10.7910/dvn/iah6z6/5gk07p","relatedIdentifierType":"DOI"},{"relationType":"HasPart","relatedIdentifier":"10.7910/dvn/iah6z6/hcg9fo","relatedIdentifierType":"DOI"},{"relationType":"HasPart","relatedIdentifier":"10.7910/dvn/iah6z6/7munti","relatedIdentifierType":"DOI"},{"relationType":"HasPart","relatedIdentifier":"10.7910/dvn/iah6z6/9spnas","relatedIdentifierType":"DOI"},{"relationType":"HasPart","relatedIdentifier":"10.7910/dvn/iah6z6/rhqno0","relatedIdentifierType":"DOI"},{"relationType":"HasPart","relatedIdentifier":"10.7910/dvn/iah6z6/zocegt","relatedIdentifierType":"DOI"},{"relationType":"HasPart","relatedIdentifier":"10.7910/dvn/iah6z6/3iymzk","relatedIdentifierType":"DOI"},{"relationType":"HasPart","relatedIdentifier":"10.7910/dvn/iah6z6/buvpeb","relatedIdentifierType":"DOI"},{"relationType":"HasPart","relatedIdentifier":"10.7910/dvn/iah6z6/gmcrlm","relatedIdentifierType":"DOI"},{"relationType":"HasPart","relatedIdentifier":"10.7910/dvn/iah6z6/mqnljs","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["1649064533","621451666","1591302939","1945669116","6559","2035762939","6589","580639482","1640863234","469510507","153584724","352237298","766045757","1094470490","878938222","481195065","935798192","957558611","524868733","5005","303777594","62312"],"formats":["text/tab-separated-values","text/tab-separated-values","application/x-stata-13","application/x-stata-13","text/tab-separated-values","text/tab-separated-values","text/tab-separated-values","text/tab-separated-values","text/tab-separated-values","application/zip","application/zip","application/x-stata","application/x-stata","application/x-stata","application/x-stata","application/x-stata","application/x-stata","application/x-stata","application/x-stata","text/plain","application/zip","application/zip"],"version":"6.1","rightsList":[{"rightsUri":"info:eu-repo/semantics/openAccess"},{"rights":"Custom terms specific to this dataset","rightsUri":"https://dataverse.harvard.edu/api/datasets/:persistentId/versions/6.1/customlicense?persistentId=doi:10.7910/DVN/IAH6Z6"}],"descriptions":[{"description":"I use daily prices collected from online retailers in five countries to study the impact of measurement bias on three common price stickiness statistics. Relative to previous results, I find that online prices have longer durations, with fewer price changes close to zero, and hazard functions that initially increase over time. I show that time-averaging and imputed prices in scanner and CPI data can fully explain the differences with the literature. I then report summary statistics for the duration and size of price changes using scraped data collected from 181 retailers in 31 countries.","descriptionType":"Abstract"},{"description":"Please read the Terms of Use and cite the paper if you use the data.\r\n\r\nThis dataverse contains the micro price data file. See bpp.mit.edu for more details about the Billion Prices 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