About our used conditions ratings:
·Like New: An apparently unread copy in excellent condition. The dust cover is intact, and the pages are clean and not marred by notes or folds of any kind.
·Very Good: A copy that has been read, but remains in excellent condition. May have writing on the inside cover but pages are unmarred.
·Good: A copy that has been read, but remains in clean condition. All pages and covers are intact. The spine may show signs of wear. Pages can include limited notes and highlighting, and the copy can include "From the library of" labels or previous owner inscriptions.
This book provides a general framework for specifying, estimating and testing time series econometric models. Special emphasis is given to estimation by maximum likelihood, but other methods are also discussed, including quasi-maximum likelihood estimation, generalised method of moments estimation, nonparametric estimation and estimation by simulation. An important advantage of adopting the principle of maximum likelihood as the unifying framework for the book is that many of the estimators and test statistics proposed in econometrics can be derived within a likelihood framework, thereby providing a coherent vehicle for understanding their properties and interrelationships. In contrast to many existing econometric textbooks, which deal mainly with the theoretical properties of estimators and test statistics through a theorem-proof presentation, this book squarely addresses implementation to provide direct conduits between the theory and applied work.
2.6 pounds