Abstract:
Artificial data: The Matlab code generating the artificial data is available upon request (it is currently a mess - possibly we will eventually find time and spirit to clean it up and put the code here). The artificial data and the matlab code running the regressions on the artificial data is avialble in artificial.zip (8 Mb). This zip file contains the following files: regress_artificial.m (This is the main matlab file), regress.m (Used by regress_artificial), tsls.m (Used by regress), simsav_web.sav (Simulated data for the benchmark specification with separable utility), simsav_web_cd.sav (Simulated data with Cobb Douglas utility function). PSID data: We use SAS to extract raw data from the PSID, and to build text files that can be read by Matlab. The Matlab code then selects the sample and runs the regressions. The raw PSID data is available at the PSID web page. It is clear from our SAS files which PSID files are used. Contents of psid_data8395.zip (0.6 Mb): build_data84.sas (SAS code to read raw 1983-1985 PSID data), data84.asc (Output from build_data84.sas), build_data89.sas (SAS code to read raw 1988-1990 PSID data), data89.asc (Output from build_data89.sas), build_data94.sas (SAS code to read raw 1993-1995 PSID data), data84.asc (Output from build_data94.sas), regress8395.m (Matlab code to process dataXX.asc and to run regressions), Contents of psid_data70s.zip (0.9 Mb): build_data70s.sas (SAS code to read raw 1970-1981 PSID data), data70s_XXX.asc (Output from build_data70s.sas (~ one file per variable)), regress70s.m (Matlab code to process data70s_XXX.asc and to run regressions),