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Model Reduction Methods for Vector Autoregressive Processes
1. 1 Objective of the Study Vector autoregressive (VAR) models have become one of the dominant research tools in the analysis of macroeconomic time series during the last two decades. The great success of this modeling class started with Sims' (1980) critique of the traditional simultaneous equation models (SEM). Sims criticized the use of 'too many incredible restrictions' based on 'supposed a priori knowledge' in large scale macroeconometric models which were popular at that time. Therefore, he advo cated largely unrestricted reduced form multivariate time series models, unrestricted VAR models in particular. Ever since his influential paper these models have been employed extensively to c...
Economic Forecasts
Forecasts guide decisions in all areas of economics and finance. Economic policy makers base their decisions on business cycle forecasts, investment decisions of firms are based on demand forecasts, and portfolio managers try to outperform the market based on financial market forecasts. Forecasts extract relevant information from the past and help to reduce the inherent uncertainty of the future. The topic of this special issue of the Journal of Economics and Statistics is the theory and practise of forecasting and forecast evaluation and an overview of the state of the art of forecasting.
Econometric Studies
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XploRe® - Application Guide
This book offers a detailed application guide to XploRe - an interactive statistical computing environment. As a guide it contains case studies of real data analysis situations. It helps the beginner in statistical data analysis to learn how XploRe works in real life applications. Many examples from practice are discussed and analysed in full length. Great emphasis is put on a graphic based understanding of the data interrelations. The case studies include: Survival modelling with Cox's proportional hazard regression, Vitamin C data analysis with Quantile Regression, and many others.
Introduction to Modern Time Series Analysis
This book presents modern developments in time series econometrics that are applied to macroeconomic and financial time series. It contains the most important approaches to analyze time series which may be stationary or nonstationary.
Economic Policy in an Orderly Framework
The essays collected in this liber amicorum or Festschrift were written in order to pay respect to Gerrit Meijer, a genuine scholar who will retire as reader from Maastricht University on October 17, 2003. His career has involved extensive teaching at all levels, characterized by great erudition, diligence, empathy, and willingness to speak his mind. This stubbornness not to go with intellectual fashions is an extremely important asset in the social sciences. It was his lonely voice in a hostile environment that held up the recognition of European traditions in economic thought which others were willing to either forget or set aside or else never learn. In this sense, the current intellectual landscape in the Netherlands, but not only there, is different from what it would have been had Gerrit Meijer not exerted his influence. Hence, it is no surprise that such a large group of scholars, all somehow related to Gerrit's efforts, have contributed to this volume.
Finance India
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Mathematical Reviews
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