We have the following data (in a pandas data frame) for every observation : [ 'Ticker', 'FirstDayReturn', 'VentureBacked', 'DualClass', 'Underwriter', 'NASDAQ', 'HHIndex', 'Technology', 'BenchmarkedReturn', 'MarketCapitalization', 'Year']

The aim: test the impact of dual-class shares on IPO underpricing (FirstDayReturn) The question: What is appropriate regression I should run for the following hypothesis (all having FirstDayReturn as the dependent variable )? H1 : Dual-class shares should be less underpriced when ownership concentration is considered. (the HHIndex from above is a proxy for concentration) Thank you!