Palgrave Handbook of Econometrics: Applied Econometrics

132 Metastatistics for the Non-Bayesian Regression Runner Consider the following two tests: Test 1 RejectH 0 ⇐⇒ h=0, 4 Size = 0. ...

John DiNardo 133 Consider a case where the true state of the world can be characterized simply by the following: y=β 0 +β 1 T+β ...

134 Metastatistics for the Non-Bayesian Regression Runner where y 1 ≡ N^11 ∑ i;T= 1 yi, y 0 ≡ 1 N 0 ∑ i;T= 0 yi, the subscript 1 ...

John DiNardo 135 The possibility of accidentally drawing a Knut Vik square or accidentally putting just the junior rabbits into ...

136 Metastatistics for the Non-Bayesian Regression Runner utilitiesU(d 1 )andU(d 2 )respectively. Then a randomized decision, ta ...

John DiNardo 137 studies typically ignore serious selection bias due to non-random attrition and regression to the mean. In one ...

138 Metastatistics for the Non-Bayesian Regression Runner medication overuse was acauseof migraine pain “became well-established ...

John DiNardo 139 been able to determine, the literature has not concerned itself with the problem of non-random attrition. One m ...

140 Metastatistics for the Non-Bayesian Regression Runner Table 3.3 Initial 2004 International Headache Society classification c ...

John DiNardo 141 researchers in this area routinely make no adjustment of any sort for the high rates of attrition in studies lo ...

142 Metastatistics for the Non-Bayesian Regression Runner 3.7 Case study 2: “union wage premium” I would now like to consider an ...

John DiNardo 143 have employed to analyze the question: Ashenfelter (1978) constructs control groups based on industry, race, a ...

144 Metastatistics for the Non-Bayesian Regression Runner whereUiis the union status indicator for workeri,wiis the wage of work ...

John DiNardo 145 The test is severe against the hypothesis that unobserved differences in thefirms that are unionized versus tho ...

146 Metastatistics for the Non-Bayesian Regression Runner –.5 0 .5 1 Pre-treatment attribute: balance achieved 0 .1.2.3.4.5.6.7. ...

John DiNardo 147 and Tobias (2008), which is interested in estimating the “effect” of the Body Mass Index (BMI) on earnings. The ...

148 Metastatistics for the Non-Bayesian Regression Runner Consequently, Kline and Tobias (2008) provide an “informal test” of th ...

John DiNardo 149 and Luttmer, 1997). If the methodology works as intended, then when perform- ing the same analysis on data from ...

150 Metastatistics for the Non-Bayesian Regression Runner While not rejecting the usefulness of statistics outright, Keane argue ...

John DiNardo 151 Wolpert (1988), deFinetti (1974), Earman (1992), Good (1983), Howson and Urbach (1993), Joyce (1999), Keynes (1 ...