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Reviews some of the key theoretical results and empirical findings in the recent literature on short-term forecasting, and translate these findings into economically meaningful techniques to facilitate their widespread application to compute short-term forecasts in economics, and to monitor the ongoing business cycle developments in real time.

Bifurcation of Macroeconometric Models and Robustness of Dynamical Inferences provides an overview of the classes of macroeconometric models for which bifurcation experiments have so far been run, and emphasizes the implications for lack of robustness of conventional dynamical inferences from macroeconometric policy simulations.

Takes a broad view of spatial econometrics and introduces some of the basic concepts. After an introduction, the book introduces methods for the spatial econometric analysis of regional data, explores the new emerging field of microeconometrics, and applies the general SARAR paradigm to the case of spatial interaction models.

Data Visualization and Health Econometrics focuses on the principles and practice of data visualization and statistical graphics and how these can enhance empirical analysis of health care costs and outcomes, especially for skewed and heavy-tailed distributions.