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This project explores the concept of industry leadership and its identification using a dummy variable approach. By assigning a value of 1 to the industry with the maximum sales and 0 to the rest, researchers can effectively identify leaders within a market. The focus of the blog post is on using Stata code for regression analysis to examine the peer effect within industries. By leveraging regression techniques, the blog post aims to uncover the relationships between industry leaders and their peers, shedding light on market dynamics and performance. Whether you are a researcher, data enthusiast, or simply interested in market leadership, this blog post provides valuable insights into regression peer effect analysis and its implications for industry analysis.