Explore
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.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 27 times via unglue.it ebook links.
- 12 - pdf (CC BY) at Unglue.it.
- 15 - pdf (CC BY) at mts.intechopen.com.
Keywords
- calibration
- Econometrics
- Economics
- Economics, finance, business & management
- estimation
- Forecasting
- Machine learning
- random forest
Links
DOI: 10.5772/intechopen.100862Editions