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Econometrics uses statistical methods and real-world data to predict and establish specific trends. This analytical method sustains limitless potential, but the necessary research for professionals to understand and implement this is often lacking. Econometrics - Recent Advances and Applications explores the theoretical and practical aspects of detailed econometric theories and applications within economics, policymaking, and finance. This book covers various topics such as dynamic stochastic general equilibrium (DSGE) models, machine learning, spatial econometrics, and time series analysis. This book is a useful resource for economists, policymakers, financial analysts, researchers, academicians, and graduate students seeking research on the various applications of econometrics.
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Keywords
- calibration
- Econometrics
- Economics
- Economics, finance, business & management
- estimation
- Forecasting
- Machine learning
- random forest
Links
DOI: 10.5772/intechopen.100862Editions