Author: Tom Whiston
Publisher: Springer
ISBN: 1349044865
Category : Social Science
Languages : en
Pages : 371
Book Description
Uses and Abuses of Forecasting
The Uses and Abuses of Forecasting
Author:
Publisher:
ISBN:
Category : Forecasting
Languages : en
Pages : 358
Book Description
Publisher:
ISBN:
Category : Forecasting
Languages : en
Pages : 358
Book Description
The Uses and Abuses of Forecasting
Author: Tom Whiston
Publisher:
ISBN:
Category :
Languages : en
Pages : 358
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 358
Book Description
The Uses and Abuses of Forecasting
Author: Tom Whiston
Publisher:
ISBN:
Category :
Languages : en
Pages : 358
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 358
Book Description
Uses and Abuses of Forecasting
Author: Sussex Science Policy Research Unit
Publisher:
ISBN: 9781349044887
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9781349044887
Category :
Languages : en
Pages :
Book Description
The Usese and Abuses of Forecasting
Author: Tom Whiston
Publisher:
ISBN:
Category :
Languages : en
Pages : 358
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 358
Book Description
The Use and Abuse of "real-time" Data in Economic Forecasting
Author: Evan F. Koenig
Publisher:
ISBN:
Category : Economic forecasting
Languages : en
Pages : 29
Book Description
"We distinguish between three different ways of using real-time data to estimate forecasting equations and argue that the most popular approach should generally be avoided. The point is illustrated with a model that uses monthly industrial production, employment, and retail sales data to predict real GDP growth. When the model is estimated using our preferred method, its out-of-sample forecasting performance is superior to that obtained using conventional estimation and compares favorably with that of the Blue-Chip consensus"--Federal Reserve Bank of Dallas web site.
Publisher:
ISBN:
Category : Economic forecasting
Languages : en
Pages : 29
Book Description
"We distinguish between three different ways of using real-time data to estimate forecasting equations and argue that the most popular approach should generally be avoided. The point is illustrated with a model that uses monthly industrial production, employment, and retail sales data to predict real GDP growth. When the model is estimated using our preferred method, its out-of-sample forecasting performance is superior to that obtained using conventional estimation and compares favorably with that of the Blue-Chip consensus"--Federal Reserve Bank of Dallas web site.
Forecasting
Author: Richard E. Marquis
Publisher:
ISBN:
Category : Business forecasting
Languages : en
Pages : 278
Book Description
Publisher:
ISBN:
Category : Business forecasting
Languages : en
Pages : 278
Book Description
Use and Abuse of Real-Time Data in Economic Forecasting
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
The U.S. Federal Reserve Board presents the full text of an article entitled "The Use and Abuse of Real-Time Data in Economic Forecasting," by Evan F. Koenig, Sheila Dolmas, and Jeremy Piger. The article discusses different ways of using real-time data to estimate forecasting equations.
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
The U.S. Federal Reserve Board presents the full text of an article entitled "The Use and Abuse of Real-Time Data in Economic Forecasting," by Evan F. Koenig, Sheila Dolmas, and Jeremy Piger. The article discusses different ways of using real-time data to estimate forecasting equations.
The Use and Abuse of "real-time" Data in Economic Forecasting
Author: Evan F. Koenig
Publisher:
ISBN:
Category : Economic forecasting
Languages : en
Pages : 44
Book Description
We distinguish between three different ways of using real-time data to estimate forecasting equations and argue that the most frequently used approach should generally be avoided. The point is illustrated with a model that uses monthly observations of industrial production, employment, and retail sales to predict real GDP growth. When the model is estimated using our preferred method, its out-of-sample forecasting performance is clearly superior to that obtained using conventional estimation, and compares favorably with that of the Blue-Chip consensus.
Publisher:
ISBN:
Category : Economic forecasting
Languages : en
Pages : 44
Book Description
We distinguish between three different ways of using real-time data to estimate forecasting equations and argue that the most frequently used approach should generally be avoided. The point is illustrated with a model that uses monthly observations of industrial production, employment, and retail sales to predict real GDP growth. When the model is estimated using our preferred method, its out-of-sample forecasting performance is clearly superior to that obtained using conventional estimation, and compares favorably with that of the Blue-Chip consensus.