Modeling industrial location decisions in U.S. counties



If we plug the γjs back into the expression for pj/k, we obtain,

_    exp(Yj) exp(β0zjk)

pj/k " PJ=1 exp(β0Zjk + Yj )

_ __________nj__exp(β0Zjt)

PK=1 exp(βzjk + Ik) PJ=1 exP(αj + βzjk)

_     exp(β0Zjk + Ik )

PtT=1 exp(β0zjk + Ik)

and the concentrated log-likelihood is that of a logit model where the choices
are now the sectors with an alternative specific constant added to the model.
This log-likelihood is equivalent to that of a Poisson regression with fixed-
effects (see, for example, Cameron & Trivedi (1998)].

24



More intriguing information

1. The name is absent
2. The name is absent
3. WP 92 - An overview of women's work and employment in Azerbaijan
4. The name is absent
5. Nonlinear Production, Abatement, Pollution and Materials Balance Reconsidered
6. Incorporating global skills within UK higher education of engineers
7. American trade policy towards Sub Saharan Africa –- a meta analysis of AGOA
8. The name is absent
9. Strategic Planning on the Local Level As a Factor of Rural Development in the Republic of Serbia
10. Rent Dissipation in Chartered Recreational Fishing: Inside the Black Box