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

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The equation to calculate the conditional PE <strong>of</strong> j x using the maximum<br />

2<br />

likelihood estimated beta coefficients ( ) from the truncated second stage regression<br />

is:<br />

E<br />

2<br />

vv0, x <br />

it<br />

2 2 2 2 2 2<br />

| <br />

<br />

it it 2<br />

x<br />

it<br />

x <br />

it<br />

xit<br />

<br />

<br />

<br />

j 1 <br />

<br />

<br />

<br />

<br />

<br />

<br />

<br />

<br />

<br />

<br />

x<br />

<br />

j <br />

<br />

<br />

71<br />

(3.4)<br />

where λ represents the inverse mills ratio (IMR): the probability density function divided<br />

by the cumulative density function.<br />

2<br />

j is the estimated coefficient <strong>of</strong> x j from the<br />

truncated regression and is the estimated variance from the truncated regression. The<br />

result <strong>of</strong> this equation is the PE <strong>of</strong> a given variable on fresh produce sales among those<br />

who chose to sell. The household-specific PEs from equations (3.3) and (3.4) are then<br />

used to calculate APEs over the entire sample and the sub-sample that sold,<br />

respectively. 18<br />

Finally, the equation to calculate the unconditional partial effect <strong>of</strong> x j can be<br />

understood in two additively separable parts, each <strong>of</strong> which uses estimated beta<br />

1<br />

coefficients from stages 1 and 2 together ( and<br />

2<br />

) to determine the effect <strong>of</strong> x j<br />

on expected sales (in this case) among all households in the sample, not just those who<br />

sold:<br />

18 Note that, because PEs are calculated f<strong>or</strong> each household, APEs can in principle be<br />

calculated f<strong>or</strong> any subset <strong>of</strong> the sample that the analyst wishes. F<strong>or</strong> example, APEs could<br />

be calculated by total sales quintiles, <strong>or</strong> by land holding categ<strong>or</strong>y, <strong>or</strong> by any other<br />

disaggregation that may be <strong>of</strong> interest.

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