Skip to main content

Disaggregation of Stocks

  • Chapter
Modeling Dynamic Economic Systems

Part of the book series: Modeling Dynamic Systems ((MDS))

  • 212 Accesses

Abstract

In the previous chapter we modeled the dynamics of a fish population living in a pond. We implicitly assumed that all fish are born at a reproductive age and leave the pond irrespective of their age. If you were operating a fishery at your pond you might want to selectively remove fish of different age classes to maximize your revenues. This might help you capitalize on differentials in the reproductive rates of younger and older fish and the fact that rates of reproduction are higher at lower densities. A model of the different age cohorts in your pond would require that you disaggregate the stock FISH into the different age classes and introduce age-specific reproduction and extraction rates.

Logic is the muse of thought. When I violate it I am erratic; if I hate it, I am licentious or dissolute; if I love it, I am free—the highest blessing the austere muse can give.

C.J. Keyser, Mathematical Philosophy, 1922

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 74.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer-Verlag New York, Inc.

About this chapter

Cite this chapter

Ruth, M., Hannon, B. (1997). Disaggregation of Stocks. In: Modeling Dynamic Economic Systems. Modeling Dynamic Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2268-2_2

Download citation

  • DOI: https://doi.org/10.1007/978-1-4612-2268-2_2

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-7480-3

  • Online ISBN: 978-1-4612-2268-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics