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Questionnaire Dwelling Unit-Level and Person Pair-Level Sampling ...

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Then, for Newton-Raphson iteration v , the value of the p-vector λ is adjusted as<br />

where λ<br />

( 0 )<br />

= 1.<br />

( )<br />

( v) ( v−1) −1<br />

( 1)<br />

( )<br />

ˆ v−<br />

γ =γ + X′<br />

Γ X T − T ,<br />

φ, v−1<br />

x x<br />

The convergence criterion is based on the Euclidean distance<br />

T<br />

−<br />

ˆ<br />

x T x<br />

( v)<br />

. At each<br />

iteration, it is checked to determine whether it is decreasing or not. If not, a half step is used in<br />

the iteration increment.<br />

A.4 Scaled Constrained Exponential Model<br />

In previous surveys, constrained exponential models were used for poststratification, <strong>and</strong><br />

scaled constrained exponential models were used for nonresponse adjustments. The term<br />

"constrained exponential model" refers to the logit model of Deville <strong>and</strong> Särndal (1992), in<br />

which lower <strong>and</strong> upper bounds do not vary with k (i.e., lk<br />

= l , uk<br />

= u,<br />

<strong>and</strong> ck<br />

= c = 1, such that<br />

l < 1 < u. Thus, it is a special case of GEM. For the nonresponse adjustment, Folsom <strong>and</strong> Witt<br />

(1994) modified the constrained exponential models' estimating equations by a scaling factor<br />

(D -1 −1<br />

−1<br />

, the inverse of the overall response propensity), such that 1 < ρ a k < ρ u.<br />

This implies<br />

that choosing l in constrained exponential models as D ensures that the scaled adjustment factor<br />

for nonresponse is at least one.<br />

A-5

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