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Unformatted text preview: PAM 3300: Midterm Review Where we’ve been Overview of Program Evaluation and Program Theory (ln2) Statistics Review (ln3) Causality  FPCI, counterfactual reasoning, statistical approach to ‘solving’ FPCI, drawbacks of PF causal effect estimator, attributes as causes, SUTVA (ln4) Regression Review, description, uses of R 2 , causal interpretations of coefficients, omitted variable bias, multiple regression (ln57) Research designs and validity, randomized controlled trials (ln8) Rand Health Insurance Experiment (ln89) NYC Voucher Experiment (ln910) Nonexperimental designs (ln1011) Munnel et al. Study of Mortgage Lending in Boston (ln 11) Krueger vs. DiNardo & Pischke Studies of Returns to computer use (ln12) Assessment of nonexperimental designs by LaLonde (ln13) Regression Regression as a linear approximation to graph of averages Summarizing the relationship: Regression of Earnings on Years of Education E[ Y i  X i ]=19,280+4,157 X i Regression line: linear approximation to graph of averages Regression Language  Interpreting coefficients (1) Y and X are continuous (regress wage on years education) Interpretation of constant: The average hourly wage of those with 0 years of school is 15.25. Interpretation of coefficient on school: Each additional year of education is associated with an extra $2.67 in hourly wages on average. Avoid words like “each additional year of school causes/increases/leads to ”… unless you believe the relationship is causal. . reg hrwagely school Source  SS df MS Number of obs = 1000+ F( 1, 998) = 127.30 Model  53501.4245 1 53501.4245 Prob > F = 0.0000 Residual  419437.138 998 420.277693 Rsquared = 0.1131+ Adj Rsquared = 0.1122 Total  472938.562 999 473.411974 Root MSE = 20.501 hrwagely  Coef. Std. Err. t P>t [95% Conf. Interval]+ school  2.670268 .2366684 11.28 0.000 2.205843 3.134693 _cons  15.25841 3.230216 4.72 0.000 21.5972 8.919613 Regression Language  Interpreting coefficients (2) Y and X are continuous, Y in logs (regress log wages on years education) Interpretation of constant: The average log hourly wage of those with 0 years of school is 1.31989. Interpretation of coefficient on school: Each additional year of education is associated with about 10.61% higher hourly wages on average. . reg lnw school Source  SS df MS Number of obs = 1000+ F( 1, 998) = 210.91 Model  84.5172482 1 84.5172482 Prob > F = 0.0000 Residual  399.919216 998 .400720658 Rsquared = 0.1745+ Adj Rsquared = 0.1736 Total  484.436465 484....
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 Spring '08
 MATSUDAIRA
 Regression Analysis, Coef, bOLS, Adj Rsquared Root, Rsquared Root MSE, Rsquared Adj Rsquared

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