SLIDE 24 Estimation Procedure
Given the set of parameters (we assume ¯ cm = 0) θ ≡
ca, ¯ cs, ¯ csh, ωa, ωm, ωs, ψ, γ
and given the set of (pre-determined) variables, xt ≡
t , pm t , psm t , A∗sh t
, Et, EGDPt
the problem (P3) can be solved for the three shares as, pa
t ca t
Et = f1 (xt; θ) + ǫ1, pm
t cm t
Et = f2 (xt; θ) + ǫ2, psm
t csm t
Et = f3 (xt; θ) + ǫ3. We employ iterated feasible generalized nonlinear least square (Deaton (1986) and Rogerson, Herrendorf and Valentinyi (2013))
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