Skip to main content

Growth Data and Models

  • Chapter
  • First Online:
Quantitative Economics with R

Abstract

We consider long run historical data. We then see the prediction of a simple output production model versus actual output. We use difference equation simulation to explore the Solow growth model. We see how growth has varied in recent decades.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 119.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vikram Dayal .

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Dayal, V. (2020). Growth Data and Models. In: Quantitative Economics with R. Springer, Singapore. https://doi.org/10.1007/978-981-15-2035-8_11

Download citation

Publish with us

Policies and ethics