30th Anniversary Edition

Inbunden, Engelska, 2012

Del 30 i serien Advances in Econometrics

1 817 kr

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Beskrivning

The 30th Volume of Advances in Econometrics is in honor of the two individuals whose hard work has helped ensure thirty successful years of the series, Thomas Fomby and R. Carter Hill. This volume began with a history of the Advances series by Asli Ogunc and Randall Campbell summarizing the prior volumes. Tom Fomby and Carter Hill both provide discussions of the role of Advances over the years. The remaining articles include contributions by a number of authors who have played key roles in the series over the years and in the careers of Fomby and Hill. Overall, this leads to a more diverse mix of papers than a typical volume of Advances in Econometrics.

Produktinformation

Utgivningsdatum:2012-12-17
Mått:156 x 234 x 28 mm
Vikt:666 g
Format:Inbunden
Språk:Engelska
Serie:Advances in Econometrics
Antal sidor:458
Förlag:Emerald Publishing Limited
ISBN:9781781903094

Utforska kategorier

Mikroekonomi inom Ekonomi och Ledarskap

Innehållsförteckning

List of Contributors.Dedication. Preface. Introduction. A History of the Advances in Econometrics Series. Bayesian Unit Root Testing: The Effect of Choice of Prior on Test Outcomes. Inverse Test Confidence Intervals for Turning-Points: A Demonstration with Higher Order Polynomials. Serial Correlation Robust LM. Consistent Testing for Structural Change at the Ends of the Sample. Stein-Rule Estimation and Generalized Shrinkage Methods for Forecasting Using Many Predictors. On the Estimation and Testing of Fixed Effects Panel Data Models with Weak Instruments. A Risk Superior Semiparametric Estimator for Overidentified Linear Models. Spatial Dependence in Regressors and its Effect on Performance of Likelihood-Based and Instrumental Variable Estimators. Sectoral Effects of Aggregate Shocks. Cyclical Co-Movement Between Output, the Price-Level, and the Inflation Rate. Money–Income Granger-Causality in Quantiles. Copula–GARCH Time-Varying Tail Dependence. Monte Carlo Experiments Using Stata: A Primer with Examples.