Hello: My dataset set contains several thousand rows of data, with each row containing information for a house. The variables include the sale price of the house, the quarter and year of sale, the attributes of the house, and the attributes of the neighborhood and the city in which the house is located. The data is for a 10-year period. No house is repeated in the dataset. In summary, the dataset can be termed pooled cross-section data.
My question: Can I estimate Newey-West HAC standard errors for a model that estimates the effect of various independent variables on the sale price of the house? My understanding is that Newey-West can be used for time series and panel data. However, I am not sure whether it can be used for pooled cross-section data. If yes, can you refer me to a specific source, such as a paper or a book? -- Best, Shish [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.