1 / 9

American Housing Survey II

American Housing Survey II. Data. Model drives variable selection Selection Criteria Certain MSAs Owners only Known metro status Known year built 103 variables on 21720 observations. Data Download. Go to http://research.umbc.edu/~coates/ec611/owner_housing.zip

eitan
Download Presentation

American Housing Survey II

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. American Housing Survey II

  2. Data • Model drives variable selection • Selection Criteria • Certain MSAs • Owners only • Known metro status • Known year built • 103 variables on 21720 observations

  3. Data Download • Go to http://research.umbc.edu/~coates/ec611/owner_housing.zip • Unzip the file using Winzip • Read it into Excel • Parse it into columns • Save as tab delimited text

  4. Codebook • Http://research.umbc.edu/~coates/ec611/owner_housing_codebook.html

  5. Stata • Read into Stata • insheet using “your file name” • Be sure you have 103 variables, 21720 observations

  6. Examine the Data • Sort control famtyp famrel • note multiple observations per control • what are famtyp and famrel? • Summarize data • several variables are strings • note minimums and maximums

  7. Housing Characteristics • Goal: estimate a hedonic equation for house characteristics • Consider Bedrms, Baths, halfb, kitch, dens, dining, famrm, laundry, living, rooms, unitsf, lot • What do you observe? • Look at maximums and minimums

  8. Housing characteristics • Functional form? • Does each bedroom contribute equally to value? • Does each bathroom? • What about area? • Price or log price? • Construction cost or purchase price?

  9. Regression • OLS - lprice as function of house characteristics, unitsf and lot • tabulate characteristics • tabu varname, gen(varname) • Sample weights [pw=pwt]

More Related