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Thesis Re-print: Does Selling Fruits or Vegetables - Department of ...

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mean <strong>of</strong> each time-varying explanat<strong>or</strong>y variable in<br />

K x 1 and L x 1 vect<strong>or</strong>s <strong>of</strong> parameter coefficients, and<br />

74<br />

2 1 2<br />

x ; and are their associated<br />

1<br />

a i and<br />

2<br />

a i are each equation’s<br />

respective err<strong>or</strong> terms. Adding the c i specification to the right hand side <strong>of</strong> equations<br />

3.1 and 3.2 above yields the following, with transf<strong>or</strong>med err<strong>or</strong> terms<br />

where<br />

1<br />

u it =<br />

1<br />

e it +<br />

Stage 1 it p * =<br />

Stage 2 it v * =<br />

1<br />

<br />

1<br />

a i and<br />

2<br />

u it =<br />

2<br />

e it +<br />

<br />

2<br />

a i :<br />

1 1 1 1<br />

xit xi<br />

<br />

where it p = 1 if p it * > 0; otherwise p it = 0,<br />

2<br />

<br />

<br />

2 2 2 2<br />

xit xi<br />

<br />

u<br />

u<br />

1<br />

it<br />

2<br />

it<br />

1<br />

u it and<br />

2<br />

u it ,<br />

1 1<br />

it | it x u ~ N(0, σ 2 ) (3.8)<br />

2 2<br />

u it | xit<br />

~ N(0, σ 2 ) (3.9)<br />

where v it = v it * if v it * > 0 and p it = 1; otherwise v it = 0.<br />

Since<br />

1<br />

x i and<br />

2<br />

x i have the same value f<strong>or</strong> each household across both years<br />

(the average <strong>of</strong> the values in each year by household), but differ across households, when<br />

all the variables are included and estimated in the same regression, any time-constant<br />

unobserved heterogenaity that follows equations 3.7 and 3.8 is controlled f<strong>or</strong>. This also<br />

achieves the same outcome as a random effects estimation using a panel data linear<br />

model (Ricker-Gilbert, Jayne and Chirwa 2011, Goeb 2011, Mather, Boughton and Jayne<br />

2011).

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