EurekaMag.com logo
+ Site Statistics
References:
52,725,316
Abstracts:
28,411,598
+ Search Articles
+ Subscribe to Site Feeds
EurekaMag Most Shared ContentMost Shared
EurekaMag PDF Full Text ContentPDF Full Text
+ PDF Full Text
Request PDF Full TextRequest PDF Full Text
+ Follow Us
Follow on FacebookFollow on Facebook
Follow on TwitterFollow on Twitter
Follow on Google+Follow on Google+
Follow on LinkedInFollow on LinkedIn

+ Translate

Aggregation of heterogeneous firms in mathematical programming models


European Review of Agricultural Economics 16(4): 499-513
Aggregation of heterogeneous firms in mathematical programming models
Serious aggregation errors may arise in mathematical programming sector models when aggregation is not properly done. Existing aggregation literature mostly focuses on exact aggregation of homogenous groups of firms. However, homogeneity rarely holds in real problem situations. Moreover, theoretical aggregation developments are generally based on the assumption of availability of full information about the firms to be aggregated.


Accession: 001748382

DOI: 10.1093/erae/16.4.499



Related references

Exact aggregation in mathematical programming sector models. Canadian Journal of Agricultural Economics 39(2): 319-334, 1991

Optimal timing of joint replacement using mathematical programming and stochastic programming models. Health Care Management Science 14(4): 361-369, 2012

Risk and mathematical programming models. 2004

Mathematical programming models as tools for centralized planning in decentralized decision situations: A critical examination of the reliability of agricultural sector models as a basis for policy decisions. European Review of Agricultural Economics 6(3): 319-336, 1979

Two mathematical programming models of cheese manufacture. Journal of Dairy Science 89(2): 799-809, 2006

An evaluation of econometric and mathematical programming models. 1970

Mathematical programming models for farm planning. Oxford Agrarian Studies 27: 163-172, 1988

Mathematical programming and marketing decision models. Matematisk programmering og markeds<o>konomiske beslut-ningsmodeller, K<o>benhavn: K. Vet.- Landboh<o>jskole., 161, 1969

Mathematical programming and behaviour of growers: previsionary models. Inst Nat Rech Agron Dep Econ Sociol Rur Resume Princ Rech: 7, 1970

Comparative performance of selected mathematical programming models. Agricultural Systems 77(2): 155-171, 2003