Hi,
I am working with panel data and I am trying to impose some nonlinear constraints on an equation with a large number of fixed effects. So far I have been unsuccessful and I have a couple of questions in this regard. Any advice you could provide would be greatly appreciated.
1) For one specification I have run the following linear regression -xtreg lnunit dummy1 dummy2 dummy3 week2-week104, fe i(id)-. Basically I have about 8,000 products (id's) that I have data on for 104 weeks. I would also like to estimate this while constraining the coefficients on dummy1 dummy2 and dummy3 in a nonlinear fashion (i.e. _b[dummy1] = (_b[dummy2]^2) / _b[dummy3]. I am able to test the restriction post-estimation using -testnl-, but I would like to incorporate the restrictions into the regression. Any ideas?
2) Similarly I could aggregate the data by country so that the panel data now represents 43 countries over 104 weeks. Now the data is a manageable size to use the -nl- command and set up the regression using -nlfcns-. The only problem is that I am not sure how to set up the fixed effects dummies in the equation. The only thing I can think of is to us the brute force method and just type in something like - '1' = $B1 * week1 + $B2 * week2 + $B3 week3 + ......-. This seems a little cumbersome since I have over 140 fixed effect dummies. I would also have to type a similarly long list to declare and initialize the parameters. I thought of using -for num- to declare and initialize the sequence of variables, but I am still stuck when it comes to the actual equation. Is there something akin to a summation sign that I could use in this situation?
Thanks,
Larry Chavis
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