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We examine a largely unexplored source of downward bias in peer effect estimation, namely, exclusion bias. We derive … formulas for the magnitude of the bias in tests of random peer assignment, and for the combined reflection and exclusion bias … consistent inference on peer effects without instruments. The method corrects for the presence of reflection and exclusion bias …
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effect having an opposite sign from the true effect. We present an expression for the asymptotic bias of both OLS and IV … estimators and discuss the conditions under which sign reversal may occur. We provide a method for eliminating this bias when …
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This study develops a flexible and efficient generalized ratio-product cum regression-type estimator of population variance utilizing auxiliary variable in two-phase sampling that incorporates the properties of ratio-type and product-type estimators. The properties of the estimator were derived...
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