APPENDIX B
The log-likelihood for this conditional logit problem is,
KJ
log Lcl = ΣΣnjk log pj/k.
k=1 j=1
From the first order condition for maximization with respect to one of the
fixed effects we obtain,
∂ log Lcl
d.---= > n ∣njk - Pj∕knk∖ = 0
γj k=1
Solving the first order condition with respect to γj we arrive at,
K
j =exp(γj)
k=1
exp(β0zjk)
---J------------n---------nk
jJ=1 exp(β0zjk + γj)
Now, if we let,
Ik = log fp7----Z 4- )
j=1exp(β0zjk+γj)
we can express the γj sas,
exp(γj)=
____n____
PK=1 exp(β0 zjk + Ik )
23
More intriguing information
1. Private tutoring at transition points in the English education system: its nature, extent and purpose2. Regional dynamics in mountain areas and the need for integrated policies
3. Healthy state, worried workers: North Carolina in the world economy
4. The name is absent
5. Heterogeneity of Investors and Asset Pricing in a Risk-Value World
6. El impacto espacial de las economías de aglomeración y su efecto sobre la estructura urbana.El caso de la industria en Barcelona, 1986-1996
7. The name is absent
8. An Investigation of transience upon mothers of primary-aged children and their school
9. The name is absent
10. The name is absent