Good morning,
I'm performing my research in asset trade having a panel data of 50 (i) x 167 (j) x 5 years (t) and I would like to use the PPML estimator.
My model looks as follows:
X_ij,t= exp [ B_1 ln Dist * B_2ln GDP_i * B_3 ln GDP_J * B(other i and j time variant variables in levels) * B(other global time variant variables like global GDP growth in leves).
My questions are:
1) Would econometrically correct to perform the PPML without fixed effects (so I can keep time invariant variables such as distance) at least as a starting point for my stimation
The stata command that I'm using here:
ppml X ln_DIST ln_GDP_i ln_GDP_j (other i and j time variant variables) (other global time variant variables like global GDP growth) if exporter != importer, cluster(pair_id)
2) Would it be correct to do the same thing as point 1) but including pair fixed effects? All the variants would be interpretable?
ppml X ln_DIST ln_GDP_i ln_GDP_j pair_id (other i and j time variant variables) (other global time variant variables like global GDP growth) if exporter != importer, cluster(pair_id)
3) For the PPML taking into account multilateral resistance:
ppml X EXPORTER_TIME_FE* IMPORTER_TIME_FE* ln_DIST ln_GDP_i ln_GDP_j pair_id (other i and j time variant variables) (other global time variant variables like global GDP growth) if exporter != importer, cluster(pair_id)
Only distance would be interpretable, because the country time variant variables are dropped right?
4) Is there any additional thing that I should account for with panel data with T dimensions?
5) Is there any problem if I dont have values for the the independent variables for some of the countries in some years, or should I have a balance panel?
If you would be so kind as to help me with my questions professor Dr. Joao Santos Silva it would be much appreciated.
Thanks and best regards
I'm performing my research in asset trade having a panel data of 50 (i) x 167 (j) x 5 years (t) and I would like to use the PPML estimator.
My model looks as follows:
X_ij,t= exp [ B_1 ln Dist * B_2ln GDP_i * B_3 ln GDP_J * B(other i and j time variant variables in levels) * B(other global time variant variables like global GDP growth in leves).
My questions are:
1) Would econometrically correct to perform the PPML without fixed effects (so I can keep time invariant variables such as distance) at least as a starting point for my stimation
The stata command that I'm using here:
ppml X ln_DIST ln_GDP_i ln_GDP_j (other i and j time variant variables) (other global time variant variables like global GDP growth) if exporter != importer, cluster(pair_id)
2) Would it be correct to do the same thing as point 1) but including pair fixed effects? All the variants would be interpretable?
ppml X ln_DIST ln_GDP_i ln_GDP_j pair_id (other i and j time variant variables) (other global time variant variables like global GDP growth) if exporter != importer, cluster(pair_id)
3) For the PPML taking into account multilateral resistance:
ppml X EXPORTER_TIME_FE* IMPORTER_TIME_FE* ln_DIST ln_GDP_i ln_GDP_j pair_id (other i and j time variant variables) (other global time variant variables like global GDP growth) if exporter != importer, cluster(pair_id)
Only distance would be interpretable, because the country time variant variables are dropped right?
4) Is there any additional thing that I should account for with panel data with T dimensions?
5) Is there any problem if I dont have values for the the independent variables for some of the countries in some years, or should I have a balance panel?
If you would be so kind as to help me with my questions professor Dr. Joao Santos Silva it would be much appreciated.
Thanks and best regards
Comment