Economic Growth Theories

Classical growth theory

Classical growth theory connects population growth to the growth of labor productivity.  This is a very basic view of economies, believing that productivity growth can expand a population to a finite point and beyond that point productivity will revert to a subsistence level.  The implication is that physical resources are limited.

Neoclassical growth theory

Neoclassical growth theory believes that in the long run, physical capital per laborer and laborer productivity will not grow without increases in technology.  In other words, physical capital can only drive so much growth and beyond a certain point, an economy will need new technology to continue to grow.  The neoclassical theory also believes in convergence of economies: output per worker (or per-capita GDP) will become equal across countries, if all countries have access to the same technology and their financial markets are integrated

New growth theory

New growth theory is rooted in the notions that educating laborers (also referred to as investing in human capital) and providing incentives for laborers to discover new technologies are needed to drive continuous economic growth.

Data Science in Finance: 9-Book Bundle

Data Science in Finance Book Bundle

Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.

What's Included:

  • Getting Started with R
  • R Programming for Data Science
  • Data Visualization with R
  • Financial Time Series Analysis with R
  • Quantitative Trading Strategies with R
  • Derivatives with R
  • Credit Risk Modelling With R
  • Python for Data Science
  • Machine Learning in Finance using Python

Each book includes PDFs, explanations, instructions, data files, and R code for all examples.

Get the Bundle for $29 (Regular $57)
JOIN 30,000 DATA PROFESSIONALS

Free Guides - Getting Started with R and Python

Enter your name and email address below and we will email you the guides for R programming and Python.

Data Science in Finance: 9-Book Bundle

Data Science in Finance Book Bundle

Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.

What's Included:

  • Getting Started with R
  • R Programming for Data Science
  • Data Visualization with R
  • Financial Time Series Analysis with R
  • Quantitative Trading Strategies with R
  • Derivatives with R
  • Credit Risk Modelling With R
  • Python for Data Science
  • Machine Learning in Finance using Python

Each book comes with PDFs, detailed explanations, step-by-step instructions, data files, and complete downloadable R code for all examples.