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Econometric Analysis of Cross Section and Panel Data - Free

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Additional Single-Equation Topics 135<br />

independence across clusters. An example is studying teenage peer e¤ects using a<br />

large sample <strong>of</strong> neighborhoods (the clusters) with relatively few teenagers per neighborhood.<br />

Or, using siblings in a large sample <strong>of</strong> families. The asymptotic analysis is<br />

with fixed cluster sizes with the number <strong>of</strong> clusters getting large. As we will see in<br />

<strong>Section</strong> 11.5, h<strong>and</strong>ling within-cluster correlation in this context is relatively straightforward.<br />

In fact, when the explanatory variables are exogenous, OLS is consistent<br />

<strong>and</strong> asymptotically normal, but the asymptotic variance matrix needs to be adjusted.<br />

The same holds for 2SLS.<br />

Problems<br />

6.1. a. In Problem 5.4d, test the null hypothesis that educ is exogenous.<br />

b. Test the the single overidentifying restriction in this example.<br />

6.2. In Problem 5.8b, test the null hypothesis that educ <strong>and</strong> IQ are exogenous in the<br />

equation estimated by 2SLS.<br />

6.3. Consider a model for individual data to test whether nutrition a¤ects productivity<br />

(in a developing country):<br />

logðproducÞ ¼d 0 þ d 1 exper þ d 2 exper 2 þ d 3 educ þ a 1 calories þ a 2 protein þ u 1<br />

ð6:35Þ<br />

where produc is some measure <strong>of</strong> worker productivity, calories is caloric intake per<br />

day, <strong>and</strong> protein is a measure <strong>of</strong> protein intake per day. Assume here that exper,<br />

exper 2 , <strong>and</strong> educ are all exogenous. The variables calories <strong>and</strong> protein are possibly<br />

correlated with u 1 (see Strauss <strong>and</strong> Thomas, 1995, for discussion). Possible instrumental<br />

variables for calories <strong>and</strong> protein are regional prices <strong>of</strong> various goods such as<br />

grains, meats, breads, dairy products, <strong>and</strong> so on.<br />

a. Under what circumstances do prices make good IVs for calories <strong>and</strong> proteins<br />

What if prices reflect quality <strong>of</strong> food<br />

b. How many prices are needed to identify equation (6.35)<br />

c. Suppose we have M prices, p 1 ; ...; p M . Explain how to test the null hypothesis<br />

that calories <strong>and</strong> protein are exogenous in equation (6.35).<br />

6.4. Consider a structural linear model with unobserved variable q:<br />

y ¼ xb þ q þ v;<br />

Eðv j x; qÞ ¼0

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