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Anglin and Genay (1996) estimate several residential housing price models. You can use their data by importing the house_prices.csv (available on Blackboard) data set into
Anglin and Genay (1996) estimate several residential housing price models. You can use their data by importing the house_prices.csv (available on Blackboard) data set into Eviews, where DRV = l if the house has a driveway, REC = l if the house has a recreational room FFIN = I if the house has a full and finished basement, GHW = 1 if the house uses gas for hot water heating, CA = l if there is a central air conditioning, GAR shows the number of garage places, REG = l if the house in located in a preferred neighbourhood of the city, LOT is a continuous variable showing the lot size of the property in square feet, BDMS is the number of bedrooms, FB is the number of full bathrooms (i.e. including, at least, a toilet, sink, and bathtub), STY represents the number of stories, excluding the basement i. Interpret the coefficients on the following variables: driveway, garage, lotsize, and bedrooms(2 marks)
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