Original articles on the application of economic analysis to specific problems in both public and private sectors, quantitative studies and contributions which make use of the methods of mathematics, statistics and operations research.
The International Journal of Forecasting is the leading journal in its field. It is the official publication of the International Institute of Forecasters (IIF) and shares its aims and scope. More information about the IIF may be found at https://www-forecasters-org.ezproxy.csusm.edu.
Research Methods Resources
Listed below is a link to SAGE's Research Methods Database along with selected titles on Times Series.
Links to over 100,000 pages of SAGEs renowned book, journal and reference content with truly advanced search and discovery tools. Researchers can explore methods concepts to help them design research projects, understand particular methods or identify a new method, conduct their research, and write up their findings. Since SAGE Research Methods focuses on methodology rather than disciplines, it can be used across the social sciences, health sciences, and more.
Volume I: Using Secondary Sources and Secondary Analysis
Volume II: Volume II: Quantitative Approaches to Secondary Analysis
Volume III: Volume III: The Secondary Analysis of Qualitative Data
Volume IV: Ethical, Methodological and Practical Issues in Secondary Analysis
Chapter 13 : Detecting and Removing Seasonal/Cyclical Effects, Moving Averages/Smoothing, Regression Controls for the Short-Term Cyclical Effects, Detecting and Correcting for Autocorrelation, Evaluating Program Interventions
Chapter 1, Thinking Time-Serially
Chapter 2, Fundamental Concepts in Time Series Analysis
Chapter 3, Static Time Series Models and Ordinary Least Squares Estimation
Chapter 4, Introducing Dynamic Time Series Models
Chapter 5, Autoregressive Moving Average Models
Chapter 6 | Models for Integrated and Cointegrated Data
This book is about Business Analytics (BA)--an emerging area in modern business decision making. The first part provides an overview of the field of Business Intelligence (BI) that looks into historical data to better understand business performance thereby improving performance, and creating new strategic opportunities for growth. (Source: Business Expert Press)
Written for those who need an introduction, Applied Time Series Analysis reviews applications of the popular econometric analysis technique across disciplines. Carefully balancing accessibility with rigor, it spans economics, finance, economic history, climatology, meteorology, and public health. Terence Mills provides a practical, step-by-step approach that emphasizes core theories and results without becoming bogged down by excessive technical details. Including univariate and multivariate techniques, Applied Time Series Analysis provides data sets and program files that support a broad range of multidisciplinary applications, distinguishing this book from others. (Source: Elsevier)
Most decisions and plans in a firm require a forecast. Not matching supply with demand can make or break any business, and that is why forecasting is so invaluable. Forecasting can appear as a frightening topic with many arcane equations to master. We therefore start out from the very basics and provide a nontechnical overview of common forecasting techniques as well as organizational aspects of creating a robust forecasting process. We also discuss how to measure forecast accuracy to hold people accountable and guide continuous improvement. This book does not require prior knowledge of higher mathematics, statistics, or operations research. It is designed to serve as a first introduction to the nonexpert, such as a manager overseeing a forecasting group, or an MBA student who needs to be familiar with the broad outlines of forecasting without specializing in it. (Source: Business Expert Press)
Forecasting for management decisions : an introduction -- Data patterns and choice of forecasting techniques -- The macroeconomy and business forecasts -- Data collection and analysis for use in forecasting -- Forecasting with smoothing techniques -- Adaptive filtering as a forecasting technique -- Forecasting with simple regression -- Forecasting with multiple regression -- Advanced regression methodologies in forecasting -- The Box-Jenkins method of forecasting -- Communicating forecasts to management (Source: Taylor and Francis)
In the beginning of the book, you will take the first step by learning the most basic models for one-period forecasts based on past performance of a market. You will also learn how to evaluate your newly built models. Next, you will progress further into intermediate-level models, including multi-period forecasts based on past performance of a market or based on an external factor. (Source Business Expert Press)