Maximum likelihood estimation is a general method for estimating the parameters of econometric models from observed data. The principle of maximum likelihood plays a central role in the exposition of this book, since a number of estimators used in econometrics can be derived within this...

Intro to operators, probabilities, and linear model -- Lp-approximable sequences of vectors -- Convergence of linear and quadratic forms -- Regressions with slowly varying regressors -- Spatial models -- Convergence almost everywhere -- Nonlinear models -- Tools for vector autoregressions

With a new author team contributing decades of practical experience, this fully updated and thoroughly classroom-tested second edition textbook prepares students and practitioners to create effective forecasting models and master the techniques of time series analysis. Taking a practical and...

Long-run restrictions have been used extensively for identifying structural shocks in vector autoregressive (VAR) analysis. Such restrictions are typically just-identifying but can be checked by utilizing changes in volatility. This paper reviews and contrasts the volatility models that have...