Palgrave Handbook of Econometrics: Applied Econometrics

92 How much Structure in Empirical Models? 0.2 –0.0 –1.00 –0.75 0.75 1.00 Shock 1 Output Unemployment Shock 2 –0.50 0.50 –0.25 0 ...

Fabio Canova 93 0.06 0.04 Real rate Investment Technology shocks Government shocks 0.02 0 0 5 10 15 20 25 2 4 0 0 5 10 15 20 25 ...

94 How much Structure in Empirical Models? structural relationships, identification problems are still present and noninvert- ib ...

Fabio Canova 95 quantities and financial or monetary variables rather than real ones. In addition, to test the quality of these ...

96 How much Structure in Empirical Models? Bernanke, B. (1986) Alternative explanations of the money income correlation.Carnegie ...

Fabio Canova 97 Gali, J. and P. Rabanal (2005) Technology shocks and aggregate fluctuations: how well does the RBC model fit pos ...

3 Introductory Remarks on Metastatistics for the Practically Minded Non-Bayesian Regression Runner John DiNardo Abstract It woul ...

John DiNardo 99 3.5.3 If the DGP is irrelevant is the likelihood really everything? 127 3.5.4 What probabilities aren’t – the no ...

100 Metastatistics for the Non-Bayesian Regression Runner That discussion about metastatistics often dwells in the “airy realms” ...

John DiNardo 101 (1980), for example, for a discussion of the case of “oxygen therapy” for infants which, far from being harmles ...

102 Metastatistics for the Non-Bayesian Regression Runner The debate revolved around whether the evidence from that trial and th ...

John DiNardo 103 standard error of a measurement that occurs in the following way: Flip a fair coin. If heads, use measuring de ...

104 Metastatistics for the Non-Bayesian Regression Runner In what follows, when I describe something as “Bayesian” I do not mean ...

John DiNardo 105 What is a good estimate of next quarter’s GDP? Does this structural model of the US labor market provide repre ...

106 Metastatistics for the Non-Bayesian Regression Runner sort that is sure to be satisfied sooner or later [such as the require ...

John DiNardo 107 descends. What no scientist would do is to divide the earth’s surface into small plots and select some of these ...

108 Metastatistics for the Non-Bayesian Regression Runner the two experiments: Are the two “experiments” different? Does the “e ...

John DiNardo 109 Most of the oranges in the box are good. Conclusion: The orange I randomly select will be good. (**) This argum ...

110 Metastatistics for the Non-Bayesian Regression Runner opening is a consequence of his dialing the right numbers on the combi ...

John DiNardo 111 First gambling situation The second pair of gambles [A.] You win $500,000 if you draw a card numbered 1–11 (11% ...