Prediction and causality in econometrics and related topics / Nguyen Ngoc Thach, Doan Thanh Ha, Nguyen Duc Trung, Vladik Kreinovich, editors.
Thach, Nguyen Ngoc, editor.; Ha, Doan Thanh, editor.; Trung, Nguyen Duc, editor.; Kreinovich, Vladik, editor.
2022
HB139 .P74 2022
Available Online

Linked e-resources

Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks

Details

Title
Prediction and causality in econometrics and related topics / Nguyen Ngoc Thach, Doan Thanh Ha, Nguyen Duc Trung, Vladik Kreinovich, editors.
ISBN
9783030770945 (electronic book)
303077094X (electronic book)
9783030770938
3030770931
DOI
https://doi.org/10.1007/978-3-030-77094-5
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource : illustrations (some color)
Item Number
10.1007/978-3-030-77094-5 doi
Call Number
HB139 .P74 2022
Dewey Decimal Classification
330.01/5195
Summary
This book provides the ultimate goal of economic studies to predict how the economy developsand what will happen if we implement different policies. To be able to do that, we need to have a good understanding of what causes what in economics. Prediction and causality in economics are the main topics of this book's chapters; they use both more traditional and more innovative techniquesincluding quantum ideas -- to make predictions about the world economy (international trade, exchange rates), about a country's economy (gross domestic product, stock index, inflation rate), and about individual enterprises, banks, and micro-finance institutions: their future performance (including the risk of bankruptcy), their stock prices, and their liquidity. Several papers study how COVID-19 has influenced the world economy. This book helps practitioners and researchers to learn more about prediction and causality in economics -- and to further develop this important research direction.
Note
Includes author index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed August 4, 2021).
Added Author
Thach, Nguyen Ngoc, editor.
Ha, Doan Thanh, editor.
Trung, Nguyen Duc, editor.
Kreinovich, Vladik, editor.
Series
Studies in computational intelligence ; v. 983.
Available in Other Form
Print version: 9783030770938
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
Prediction intervals for the Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) via the LUBE method
Analysis and Modeling of Information Security Information Security Systems in Industry 4.0
Using Non-linear Integral Models in Automatic Control and Measurement Systems for Sensors Input Signals Recovery
Neural Network Method and Algorithm for Document Detection Based on Signaling Analysis
Using fuzzy probabilistic implication in Z-set based inference
Accounting experience between fuzzy integral and Z-numbers
The Impact of In-Store Environment on Purchase Intention in Supermarkets
A recurrent method for structural-parametric identification of fuzzy neural networks
Voltage Control System for Electrical Networks Based on Fuzzy Sets
Algorithms for the Synthesis of Optimal Linear-Quadratic Stationary Controllers.

Browse Subjects

Show more subjects...

Statistics

from
to
Export