Midas Versus Mixed Frequency Var
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Midas Versus Mixed Frequency Var
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Author : Vladimir Kuzin
language : en
Publisher:
Release Date : 2016
Midas Versus Mixed Frequency Var written by Vladimir Kuzin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
This paper compares the mixed-data sampling (MIDAS) and mixed-frequency VAR (MF-VAR) approaches to model speci...cation in the presence of mixed-frequency data, e.g., monthly and quarterly series. MIDAS leads to parsimonious models based on exponential lag polynomials for the coe¢ cients, whereas MF-VAR does not restrict the dynamics and therefore can su¤er from the curse of dimensionality. But if the restrictions imposed by MIDAS are too stringent, the MF-VAR can perform better. Hence, it is di¢ cult to rank MIDAS and MF-VAR a priori, and their relative ranking is better evaluated empirically. In this paper, we compare their performance in a relevant case for policy making, i.e., nowcasting and forecasting quarterly GDP growth in the euro area, on a monthly basis and using a set of 20 monthly indicators. It turns out that the two approaches are more complementary than substitutes, since MF-VAR tends to perform better for longer horizons, whereas MIDAS for shorter horizons.
Midas Versus Mixed Frequency Var
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Author : Vladimir Kuzin
language : en
Publisher:
Release Date : 2009
Midas Versus Mixed Frequency Var written by Vladimir Kuzin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
Midas Versus Mixed Frequency Var
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Author : Vladimir Kuzin
language : en
Publisher:
Release Date : 2009
Midas Versus Mixed Frequency Var written by Vladimir Kuzin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
U Midas
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Author : Claudia Foroni
language : en
Publisher:
Release Date : 2011
U Midas written by Claudia Foroni and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
The Oxford Handbook Of Economic Forecasting
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Author : Michael P. Clements
language : en
Publisher: Oxford University Press
Release Date : 2011-06-29
The Oxford Handbook Of Economic Forecasting written by Michael P. Clements and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-29 with Business & Economics categories.
This Handbook provides up-to-date coverage of both new and well-established fields in the sphere of economic forecasting. The chapters are written by world experts in their respective fields, and provide authoritative yet accessible accounts of the key concepts, subject matter, and techniques in a number of diverse but related areas. It covers the ways in which the availability of ever more plentiful data and computational power have been used in forecasting, in terms of the frequency of observations, the number of variables, and the use of multiple data vintages. Greater data availability has been coupled with developments in statistical theory and economic analysis to allow more elaborate and complicated models to be entertained; the volume provides explanations and critiques of these developments. These include factor models, DSGE models, restricted vector autoregressions, and non-linear models, as well as models for handling data observed at mixed frequencies, high-frequency data, multiple data vintages, methods for forecasting when there are structural breaks, and how breaks might be forecast. Also covered are areas which are less commonly associated with economic forecasting, such as climate change, health economics, long-horizon growth forecasting, and political elections. Econometric forecasting has important contributions to make in these areas along with how their developments inform the mainstream.
Applied Economic Forecasting Using Time Series Methods
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Author : Eric Ghysels
language : en
Publisher: Oxford University Press
Release Date : 2018
Applied Economic Forecasting Using Time Series Methods written by Eric Ghysels and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Economic forecasting categories.
Economic forecasting is a key ingredient of decision making in the public and private sectors. This book provides the necessary tools to solve real-world forecasting problems using time-series methods. It targets undergraduate and graduate students as well as researchers in public and private institutions interested in applied economic forecasting.
Handbook Of Economic Forecasting
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Author : Graham Elliott
language : en
Publisher: Newnes
Release Date : 2013-08-23
Handbook Of Economic Forecasting written by Graham Elliott and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-23 with Business & Economics categories.
The highly prized ability to make financial plans with some certainty about the future comes from the core fields of economics. In recent years the availability of more data, analytical tools of greater precision, and ex post studies of business decisions have increased demand for information about economic forecasting. Volumes 2A and 2B, which follows Nobel laureate Clive Granger's Volume 1 (2006), concentrate on two major subjects. Volume 2A covers innovations in methodologies, specifically macroforecasting and forecasting financial variables. Volume 2B investigates commercial applications, with sections on forecasters' objectives and methodologies. Experts provide surveys of a large range of literature scattered across applied and theoretical statistics journals as well as econometrics and empirical economics journals. The Handbook of Economic Forecasting Volumes 2A and 2B provide a unique compilation of chapters giving a coherent overview of forecasting theory and applications in one place and with up-to-date accounts of all major conceptual issues. Focuses on innovation in economic forecasting via industry applications Presents coherent summaries of subjects in economic forecasting that stretch from methodologies to applications Makes details about economic forecasting accessible to scholars in fields outside economics
The Oxford Handbook Of Economic Forecasting
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Author : Michael P. Clements
language : en
Publisher: OUP USA
Release Date : 2011-07-08
The Oxford Handbook Of Economic Forecasting written by Michael P. Clements and has been published by OUP USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-08 with Business & Economics categories.
Greater data availability has been coupled with developments in statistical theory and economic theory to allow more elaborate and complicated models to be entertained. These include factor models, DSGE models, restricted vector autoregressions, and non-linear models.
Monthly Report On General Business And Agricultural Conditions In Federal Reserve District No 8
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Author :
language : en
Publisher:
Release Date : 2010
Monthly Report On General Business And Agricultural Conditions In Federal Reserve District No 8 written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Business categories.
Short Term Forecasting For Empirical Economists
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Author : Maximo Camacho
language : en
Publisher:
Release Date : 2013-11-01
Short Term Forecasting For Empirical Economists written by Maximo Camacho and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-01 with Business & Economics categories.
Short-term Forecasting for Empirical Economists seeks to close the gap between research and applied short-term forecasting. The authors review 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.