Author:
Publisher:
ISBN:
Category : Information services
Languages : en
Pages : 1874
Book Description
Fulltext Sources Online
Author:
Publisher:
ISBN:
Category : Information services
Languages : en
Pages : 1874
Book Description
Publisher:
ISBN:
Category : Information services
Languages : en
Pages : 1874
Book Description
Fulltext Sources Online
Author: Mary B.. Glose
Publisher:
ISBN: 9781573871686
Category : Education
Languages : en
Pages : 1858
Book Description
Aggregator products in FSO include: - DataStar- Dialog- EBSCO host- Eureka- Europresse- Factiva- FirstSearch- GBI- Genios- Infomart- InfoTrac- InSite- LexisNexis- NewsBank- Newscan- NewsLibrary- Nikkei Net Interactive- Ovid- Pressed (EDD)- Profound- ProQuest- Questel- Quicklaw- RBB- STN- International- Westlaw- Wilson Web FSO subscribers also receive access to the Private Zone, a hyperlinked list of publications with free archives available on the Internet. The Private Zone provides access to fulltext back issues of individual publications found in the print edition of FSO.
Publisher:
ISBN: 9781573871686
Category : Education
Languages : en
Pages : 1858
Book Description
Aggregator products in FSO include: - DataStar- Dialog- EBSCO host- Eureka- Europresse- Factiva- FirstSearch- GBI- Genios- Infomart- InfoTrac- InSite- LexisNexis- NewsBank- Newscan- NewsLibrary- Nikkei Net Interactive- Ovid- Pressed (EDD)- Profound- ProQuest- Questel- Quicklaw- RBB- STN- International- Westlaw- Wilson Web FSO subscribers also receive access to the Private Zone, a hyperlinked list of publications with free archives available on the Internet. The Private Zone provides access to fulltext back issues of individual publications found in the print edition of FSO.
Situation and Outlook Report
Mexican Forecast
Foreign Market Reports
Index to Foreign Production and Commercial Reports
Author: United States. Bureau of International Commerce
Publisher:
ISBN:
Category : Commerce
Languages : en
Pages : 280
Book Description
Publisher:
ISBN:
Category : Commerce
Languages : en
Pages : 280
Book Description
The Making of National Economic Forecasts
Author: Lawrence Robert Klein
Publisher: Edward Elgar Publishing
ISBN: 1849802165
Category : Business & Economics
Languages : en
Pages : 400
Book Description
In this valuable volume, Nobel Prize-winner Klein gathers together a group of authors who focus on forecasting models for a number of economies. The variety of the models and the structural differences among them are especially interesting. . . Readers interested in forecasting methodologies will find much of value in this volume. Highly recommended. I. Walter, Choice This important book, prepared under the direction of Nobel Laureate Lawrence R. Klein, shows how economic forecasts are made. It explains how modern developments in information technology have made it possible to forecast frequently at least monthly but also weekly or bi-weekly depending upon the perceived needs of potential forecast users and also on the availability of updated material. The book focuses on forecasts in a diverse range of economies including the United States, China, India, Russia, Germany, Japan, South Korea, and Turkey. At a time of great economic uncertainty, this book makes an important contribution by showing how new information technology can be used to prepare national economic forecasts.
Publisher: Edward Elgar Publishing
ISBN: 1849802165
Category : Business & Economics
Languages : en
Pages : 400
Book Description
In this valuable volume, Nobel Prize-winner Klein gathers together a group of authors who focus on forecasting models for a number of economies. The variety of the models and the structural differences among them are especially interesting. . . Readers interested in forecasting methodologies will find much of value in this volume. Highly recommended. I. Walter, Choice This important book, prepared under the direction of Nobel Laureate Lawrence R. Klein, shows how economic forecasts are made. It explains how modern developments in information technology have made it possible to forecast frequently at least monthly but also weekly or bi-weekly depending upon the perceived needs of potential forecast users and also on the availability of updated material. The book focuses on forecasts in a diverse range of economies including the United States, China, India, Russia, Germany, Japan, South Korea, and Turkey. At a time of great economic uncertainty, this book makes an important contribution by showing how new information technology can be used to prepare national economic forecasts.
Findex
Cumulative Index to Foreign Production and Commercial Reports
Author: United States. Bureau of International Commerce
Publisher:
ISBN:
Category : Commerce
Languages : en
Pages : 284
Book Description
Publisher:
ISBN:
Category : Commerce
Languages : en
Pages : 284
Book Description
An Algorithmic Crystal Ball: Forecasts-based on Machine Learning
Author: Jin-Kyu Jung
Publisher: International Monetary Fund
ISBN: 1484380630
Category : Computers
Languages : en
Pages : 34
Book Description
Forecasting macroeconomic variables is key to developing a view on a country's economic outlook. Most traditional forecasting models rely on fitting data to a pre-specified relationship between input and output variables, thereby assuming a specific functional and stochastic process underlying that process. We pursue a new approach to forecasting by employing a number of machine learning algorithms, a method that is data driven, and imposing limited restrictions on the nature of the true relationship between input and output variables. We apply the Elastic Net, SuperLearner, and Recurring Neural Network algorithms on macro data of seven, broadly representative, advanced and emerging economies and find that these algorithms can outperform traditional statistical models, thereby offering a relevant addition to the field of economic forecasting.
Publisher: International Monetary Fund
ISBN: 1484380630
Category : Computers
Languages : en
Pages : 34
Book Description
Forecasting macroeconomic variables is key to developing a view on a country's economic outlook. Most traditional forecasting models rely on fitting data to a pre-specified relationship between input and output variables, thereby assuming a specific functional and stochastic process underlying that process. We pursue a new approach to forecasting by employing a number of machine learning algorithms, a method that is data driven, and imposing limited restrictions on the nature of the true relationship between input and output variables. We apply the Elastic Net, SuperLearner, and Recurring Neural Network algorithms on macro data of seven, broadly representative, advanced and emerging economies and find that these algorithms can outperform traditional statistical models, thereby offering a relevant addition to the field of economic forecasting.