This chapter explains data science techniques applied to the field of econometrics. To begin, it covers the relationship between economics and quantitative methods, which paves the way for the econometrics field. It also covers the relevance of econometrics in devising and revising the economic policies of a nation. It then summarizes machine learning, deep learning, and structural equation modeling. To conclude, it reveals ways to extract macroeconomic data using a standard Python library.
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
T. C. NokeriEconometrics and Data Sciencehttps://doi.org/10.1007/978-1-4842-7434-7_11. Introduction to Econometrics
Tshepo Chris Nokeri1
(1)
Pretoria, South Africa
Get Econometrics and Data Science: Apply Data Science Techniques to Model Complex Problems and Implement Solutions for Economic Problems now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
