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I shed light on these predictions by estimating the impact of public data from Landsat, a U.S. National Aeronautics and Space Administration satellite mapping program, on the discovery rates of new deposits by incumbents (seniors) and entrants (juniors) in the gold exploration industry. I exploit idiosyncratic timing variation and cloud cover in Landsat coverage across regions to identify the causal effect of public data on the patterns of gold discovery. I find that Landsat data nearly doubled the rate of significant gold discoveries after a region was mapped and increased the market share of new entrants from about 10% to 25%. Public data seem to play an important, yet relatively underexplored, role in driving performance differences across firms. <\/jats:p> This paper was accepted by Ashish Arora, entrepreneurship and innovation. <\/jats:p>","DOI":"10.1287\/mnsc.2020.3878","type":"journal-article","created":{"date-parts":[[2021,3,25]],"date-time":"2021-03-25T13:24:21Z","timestamp":1616678661000},"page":"564-582","source":"Crossref","is-referenced-by-count":43,"title":["T<\/scp>he P<\/scp>rivate I<\/scp>mpact of P<\/scp>ublic D<\/scp>ata: L<\/scp>andsat S<\/scp>atellite M<\/scp>aps I<\/scp>ncreased G<\/scp>old D<\/scp>iscoveries and E<\/scp>ncouraged E<\/scp>ntry"],"prefix":"10.1287","volume":"68","author":[{"ORCID":"http:\/\/orcid.org\/0000-0001-9049-0522","authenticated-orcid":false,"given":"Abhishek","family":"Nagaraj","sequence":"first","affiliation":[{"name":"Berkeley-Haas School of Business, University of California, Berkeley, Berkeley, California 94720"}]}],"member":"109","reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1162\/REST_a_00619"},{"key":"B2","volume-title":"Do Tax Credits Affect R&D Expenditures by Small Firms? 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