EconPapers    
Economics at your fingertips  
 

Active Learning, Control Theory, and Agricultural Policy

Gordon Rausser

American Journal of Agricultural Economics, 1978, vol. 60, issue 3, 476-490

Abstract: In the evaluation of key agricultural policies, a number of critical uncertainties arise for which little in the way of empirical evidence has been accumulated. The typical departmentalization within the agricultural economics profession fails to offer any hope of properly assessing these uncertainties. One approach that integrates the separate tasks of system analysis, econometric estimation, optimization and more pragmatic data collection and summarization efforts is adaptive control. This framework effectively combines the characteristics of dynamic systems, uncertainties, and the active accumulation of information. Implications are drawn for potentially rewarding applications in agricultural and natural resource economics.

Date: 1978
References: Add references at CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://hdl.handle.net/10.2307/1239945 (application/pdf)
Access to full text is restricted to subscribers.

Related works:
Working Paper: ACTIVE LEARNING, CONTROL THEORY AND AGRICULTURAL POLICY (1977) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oup:ajagec:v:60:y:1978:i:3:p:476-490.

Access Statistics for this article

American Journal of Agricultural Economics is currently edited by Madhu Khanna, Brian E. Roe, James Vercammen and JunJie Wu

More articles in American Journal of Agricultural Economics from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ().

 
Page updated 2025-03-19
Handle: RePEc:oup:ajagec:v:60:y:1978:i:3:p:476-490.