Business & Economics Librarian
Judy Opdahl
she/her/hers
Journals for Forecasting
- Applied EconomicsOriginal 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 Journal of business forecasting methods & systemsArticles, review articles and commentary on obtaining, recognizing and using good forecasts, and new practical forecasting ideas.
- International Journal of ForecastingThe 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.
- Sage Research MethodsLinks 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.
- SAGE Secondary Data Analysis, Volume I, II, III, IV
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 of Statistical Persuasion
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 - Introduction to Time Series Analysis
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