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Data and Code for "Quality Differentiation and Spatial Clustering among Restaurants"

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Mendeley Data2026-04-09 收录
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资源简介:
In the accompanying folders, we provide data and computer code that can be used to replicate the results in our article. The "Data" 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 "Computer Code" 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 "City Maps.pdf" 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.

本研究配套文件夹中提供了可复现本文研究结果的数据与计算机程序代码。"数据(Data)"文件夹内含各类数据文件,可作为Matlab、R及Stata分析流程的输入数据源,相关数据来源已在本文中说明。"计算机代码(Computer Code)"文件夹包含三组程序:其一为Matlab代码,用于完成本文全部理论计算并生成所需各类图表;其二为R代码,用于执行所有与空间分析相关的统计检验;其三为Stata代码,用于复现所有回归分析结果。"City Maps.pdf"文件作为本文图1的补充材料,展示了研究样本中全部96座城市内评分最高与最低的餐厅的分布位置。
提供机构:
Kyungpook National University; Newcastle University Business School; Korea University Sejong Campus
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