Country Forecast PDF Download
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Author:
Publisher:
ISBN:
Category : Chile
Languages : en
Pages : 136
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Book Description
Author:
Publisher:
ISBN:
Category : Chile
Languages : en
Pages : 136
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Book Description
Author:
Publisher:
ISBN:
Category : Population forecasting
Languages : en
Pages : 4
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Book Description
Author:
Publisher:
ISBN:
Category : Economic forecasting
Languages : en
Pages : 210
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Book Description
Author: International Monetary Fund. Independent Evaluation Office
Publisher: International Monetary Fund
ISBN: 1484363787
Category : Business & Economics
Languages : en
Pages : 68
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Book Description
The Independent Evaluation Office (IEO) was established by the IMF’s Executive Board in 2001. It provides objective and independent evaluation of issues related to the IMF. The IEO operates independently of IMF management and at arm’s length from the IMF Executive Board. For more information on the IEO’s activities, visit the IEO website: www.ieo-imf.org.
Author:
Publisher: World Health Organization
ISBN: 9240042229
Category : Medical
Languages : en
Pages : 28
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Book Description
Author: Mr.Michael J. Artis
Publisher: International Monetary Fund
ISBN: 1451851251
Category : Business & Economics
Languages : en
Pages : 94
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Book Description
This paper analyzes the short-term forecasts for industrial and developing countries produced by the International Monetary Fund, and published twice a year in the World Economic Outlook (WEO). For the industrial country group, the WEO forecasts for output growth and inflation are satisfactory and pass most conventional tests in forecasting economic developments, although forecast accuracy has not improved over time, and predicting the turning points of the business cycle remains a weakness. For the developing countries, the task of forecasting movements in economic activity is even more difficult and the conventional measures of forecast accuracy are less satisfactory than for the industrial countries.
Author: Marleen Meier
Publisher: Packt Publishing Ltd
ISBN: 1789530709
Category : Computers
Languages : en
Pages : 544
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Book Description
Build, design and improve advanced business intelligence solutions using Tableau’s latest features, including Tableau Prep, Tableau Hyper, and Tableau Server Key FeaturesMaster new features in Tableau 2019.1 to solve real-world analytics challengesPerform Geo-Spatial Analytics, Time Series Analysis, and self-service analytics using real-life examplesBuild and publish dashboards and explore storytelling using Python and MATLAB integration supportBook Description Tableau is one of the leading business intelligence (BI) tools used to solve BI and analytics challenges. With this book, you will master Tableau's features and offerings in various paradigms of the BI domain. This book is also the second edition of the popular Mastering Tableau series, with new features, examples, and updated code. The book covers essential Tableau concepts and its advanced functionalities. Using Tableau Hyper and Tableau Prep, you’ll be able to handle and prepare data easily. You’ll gear up to perform complex joins, spatial joins, union, and data blending tasks using practical examples. Following this, you’ll learn how to perform data densification to make displaying granular data easier. Next, you’ll explore expert-level examples to help you with advanced calculations, mapping, and visual design using various Tableau extensions. With the help of examples, you’ll also learn about improving dashboard performance, connecting Tableau Server, and understanding data visualizations. In the final chapters, you’ll cover advanced use cases such as Self-Service Analytics, Time Series Analytics, and Geo-Spatial Analytics, and learn to connect Tableau to R, Python, and MATLAB. By the end of this book, you’ll have mastered the advanced offerings of Tableau and be able to tackle common and not-so-common challenges faced in the BI domain. What you will learnGet up to speed with various Tableau componentsMaster data preparation techniques using Tableau PrepDiscover how to use Tableau to create a PowerPoint-like presentationUnderstand different Tableau visualization techniques and dashboard designsInteract with the Tableau server to understand its architecture and functionalitiesStudy advanced visualizations and dashboard creation techniquesBrush up on powerful Self-Service Analytics, Time Series Analytics, and Geo-Spatial AnalyticsWho this book is for This book is designed for business analysts, BI professionals and data analysts who want to master Tableau to solve a range of data science and business intelligence problems. The book is ideal if you have a good understanding of Tableau and want to take your skills to the next level.
Author: Oya Celasun
Publisher: International Monetary Fund
ISBN: 151358717X
Category : Business & Economics
Languages : en
Pages : 47
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Book Description
This paper examines the performance of World Economic Outlook (WEO) growth forecasts for 2004-17. Short-term real GDP growth forecasts over that period exhibit little bias, and their accuracy is broadly similar to those of Consensus Economics forecasts. By contrast, two- to five-year ahead WEO growth forecasts in 2004-17 tend to be upward biased, and in up to half of countries less accurate than a naïve forecast given by the average growth rate in the recent past. The analysis suggests that a more efficient use of available information on internal and external factors—such as the estimated output gap, projected terms of trade, and the growth forecasts of major trading partners—can improve the accuracy of some economies’ growth forecasts.
Author: Adam Westwood
Publisher: Elsevier
ISBN: 9781856174626
Category : Business & Economics
Languages : en
Pages : 218
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Book Description
Forecasts future activity in the marine renewables sectors of offshore wind, wave and tidal energy. Written by leading energy industry analysts, the models used in forecasting use realistic costing, based on actual project costs.
Author: Mr. Yan Carriere-Swallow
Publisher: International Monetary Fund
ISBN: 1616356391
Category : Business & Economics
Languages : en
Pages : 22
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Book Description
We analyze the causes of the apparent bias towards optimism in growth forecasts underpinning the design of IMF-supported programs, which has been documented in the literature. We find that financial variables observable to forecasters are strong predictors of growth forecast errors. The greater the expansion of the credit-to-GDP gap in the years preceding a program, the greater its over-optimism about growth over the next two years. This result is strongest among forecasts that were most optimistic, where errors are also increasing in the economy’s degree of liability dollarization. We find that the inefficient use of financial information applies to growth forecasts more broadly, including the IMF’s forecasts in the World Economic Outlook and those produced by professional forecasters compiled by Consensus Economics. We conclude that improved macrofinancial analysis represents a promising avenue for reducing over-optimism in growth forecasts.
