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                <identifier>oai:data.mendeley.com/jvt7j7y39j.2</identifier>
                <datestamp>2025-06-16T23:37:19Z</datestamp>
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    <dc:creator>Smrkolj, Grega</dc:creator>
    <dc:title>Data and Code for &quot;Quality Differentiation and Spatial Clustering among Restaurants&quot;</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>In the accompanying folders, we provide data and computer code that can be used to replicate the results in our article. The &quot;Data&quot; folder contains various data files that serve as inputs for the analyses done in Matlab, R, and Stata. The sources of these data are explained in the article. In the &quot;Computer Code&quot; folder, there are three groups of programmes: i) Matlab code to execute all theoretical computations and produce various plots in the article, ii) R code to execute all statistical tests appertaining to the spatial analysis, and iii) Stata code to replicate all regression results. The &quot;City Maps.pdf&quot; file supplements Figure 1 in our article by showing the location of top-rated and bottom-rated restaurants across all the 96 cities in our sample.</dc:description>
    <dc:subject>Industrial Organization</dc:subject>
    <dc:subject>Economic Geography</dc:subject>
    <dc:subject>Spatial Analysis</dc:subject>
    <dc:contributor>Shin, Jong Kook</dc:contributor>
    <dc:contributor>Mossay, Pascal</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/jvt7j7y39j.2</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/jvt7j7y39j.2</dc:identifier>
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