empir_ex06[1] - Chapter 6 Linear Regression with Multiple...

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Chapter 6 Linear Regression with Multiple Regressors ± Solutions to Empirical Exercises 1. Regressions used in (a) and (b) Model Regressor a b Beauty 0.133 0.166 Intro 0.011 OneCredit 0.634 Female 0.173 Minority 0.167 NNEnglish 0.244 Intercept 4.00 4.07 SER 0.545 0.513 R 2 0.036 0.155 (a) The estimated slope is 0.133 (b) The estimated slope is 0.166. The coefficient does not change by an large amount. Thus, there does not appear to be large omitted variable bias. (c) Professor Smith’s predicted course evaluation = (0.166 × 0) +( 0.011 × 0) + (0.634 × 0) (0.173 × 0) (0.167 × 1) (0.244 × 0) + 4.068 = 3.901 2. Estimated regressions used in question Model Regressor a b dist 0.073 0.032 bytest 0.093 female 0.145 black 0.367 hispanic 0.398 incomehi 0.395 ownhome 0.152 dadcoll 0.696 cue80 0.023 stwmfg80 0.051 intercept 13.956 8.827 SER 1.81 1.84 R 2 0.007 0.279 2 R 0.007 0.277
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Solutions to Empirical Exercises in Chapter 6 115 (a) 0.073 (b) 0.032
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This note was uploaded on 11/06/2009 for the course ECON ECON111 taught by Professor Smith during the Spring '09 term at Punjab Engineering College.

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empir_ex06[1] - Chapter 6 Linear Regression with Multiple...

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