Advances in time series data methods in applied economic research. International conference on applied economics (ICOAE), Warsaw, Poland, 2018
type: Item
instance of: scholarly article
title: Advances in time series data methods in applied economic research. International conference on applied economics (ICOAE), Warsaw, Poland, 2018
zbMATH Open document ID: 1417.91010
DOI: 10.1007/978-3-030-02194-8
published in: Springer Proceedings in Business and Economics
publication date: 2018-10-26T00:00:00Z
review text: This text is an edited volume consisting of papers presented at the 2018 International Conference on Applied Economics, focusing on applications of time series analysis. Accordingly, the text focuses on many different subjects and presents many different perspectives, with the single theme of time series analysis tying the collection together. Together, there are 39 different articles included in the text. As a text on advance in applications of the field, this is not an appropriate text for an undergraduate or new practitioner of the field. Instead, this text will present new methods and application areas for the experienced analyst and scholar. In that vein, the text can be used as a handbook of new methods and can show a path for performing an analysis, even for experienced scholars, leading to new potential applications of the methods presented.
reviewed by: James P. Howard II
Mathematics Subject Classification ID: 91-06
Mathematics Subject Classification ID: 91G99
Mathematics Subject Classification ID: 91B64
Mathematics Subject Classification ID: 91B84
Mathematics Subject Classification ID: 00B25
zbMATH DE Number: 6966885
zbMATH Keywords: time series analysis
zbMATH Keywords: economics
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1007/978-3-030-02194-8
OpenAlex ID: W3157360532
description: scientific article; zbMATH DE number 6966885