following concentrated likelihood function,
I r ∖∖ 1 n ns exp(θ0y sc)
log L = S S nsc k4 " PC= 1 expose).
S Cs n S Cs
log L = Σ Σnsc log( ns)) + Σ ΣnscPc∕s.
s=1 c=1 s=1 c=1
(A1)
where,
_ exp(β0 Zsc)
pC/S~ PC= ι exp(β0zsc).
is the probability of an investor locating in a particular county, conditional
on the chosen state. The first term in expression (A1) is a constant. The
second term is the log-likelihood for a discrete choice problem where the
choice sets are restricted to the states where the investments were observed.
22
More intriguing information
1. The name is absent2. Testing the Information Matrix Equality with Robust Estimators
3. Effects of red light and loud noise on the rate at which monkeys sample the sensory environment
4. The name is absent
5. The mental map of Dutch entrepreneurs. Changes in the subjective rating of locations in the Netherlands, 1983-1993-2003
6. Computing optimal sampling designs for two-stage studies
7. Improvement of Access to Data Sets from the Official Statistics
8. The Social Context as a Determinant of Teacher Motivational Strategies in Physical Education
9. Thresholds for Employment and Unemployment - a Spatial Analysis of German Regional Labour Markets 1992-2000
10. Recognizability of Individual Creative Style Within and Across Domains: Preliminary Studies