Jump to ContentJump to Main Navigation
Show Summary Details

Studies in Business and Economics

3 Issues per year

Open Access
Online
ISSN
2344-5416
See all formats and pricing

Development Of An Econometric Model Case Study: Romanian Classification System

Roxana Savescu
  • Lucian Blaga University of Sibiu, Romania
Published Online: 2015-09-25 | DOI: https://doi.org/10.1515/sbe-2015-0027

Abstract

The purpose of the paper is to illustrate an econometric model used to predict the lean meat content in pig carcasses, based on the muscle thickness and back fat thickness measured by the means of an optical probe (OptiGrade PRO).The analysis goes through all steps involved in the development of the model: statement of theory, specification of the mathematical model, sampling and collection of data, estimation of the parameters of the chosen econometric model, tests of the hypothesis derived from the model and prediction equations. The data have been in a controlled experiment conducted by the Romanian Carcass Classification Commission in 2007. The purpose of the experiment was to develop the prediction formulae to be used in the implementation of SEUROP classification system, imposed by European Union legislation. The research methodology used by the author in this study consisted in reviewing the existing literature and normative acts, analyzing the primary data provided by and organization conducting the experiment and interviewing the representatives of the working team that participated in the trial.

Keywords: econometrics; predictive model; regression analysis; SEUROP system

References

  • Carcass Classification Commission (2007), Pig Carcass Classification in Romania, Part II of the Protocol as foreseen in annex II of Commission Regulation (EEC) 2967/85 (modified by EC 3127/94 and EC 1197/2006), Working Document.

  • Commission of the European Communities (2006), Commission Regulation (EC) No. 1197/2006 of 7 August 2006 laying down detailed rules for the application of the Community scale for grading pig carcasses, Official Journal L 217, 08/08/2006, p. 6-7.

  • Commission of the European Communities (2008), Commission Decision No. 169/2008 of 22 February 2008 authorizing methods for grading pig carcasses in Romania, JO L 56, 29.2.2008, p. 34-35.

  • Council of the European Communities (1984), Council Regulation (EEC) No. 3220 determining the Community scale for grading pig carcasses, Official Journal L 301, 20/11/1984, p. 0001 - 0003.

  • Daumas, G. et.al (2005), Statistical Handbook for Assessing Pig Classification Methods: Recommandations from Europigclass project group, available online at http://ec.europa.eu/agriculture/pigmeat/policy-instruments/index_en.htm, [accessed 10 April 2015]

  • European Parliament and The Council of European Union (2013), Regulation (EU) No 1308, establishing a common organization of the markets in agricultural products, Annex IV, B, Official Journal L 347, 20.12.2013, p. 671-854.

  • Goldberger, S. Arthur (1964), Econometric Theory, Wiley, New York, p.1.

  • Green, H. William (2003), Econometric Analysis, Fifth Edition, Prentice Hall, New Jersey, USA, p.1, 7.

  • Gujarati, Damodar (1992), Essential of Econometrics, McGraw Hill, Inc., New York, USA, p.3.

  • Guvernul Romaniei (2004), Hotararea de Guvern nr. 267 privind instituirea sistemului de clasificare a carcaselor de porcine, bovine si ovine, Monitorul Oficial nr. 228 din 16.03.2004

  • Ministerul Agriculturii si Dezvoltarii Rurale (2008), Ordinul 460 pentru aprobarea Normelor tehnice de clasificare a carcaselor de porci, Monitorul Oficial nr. 554 din 22 iulie 2008

  • Ministerul Agriculturii si Dezvoltarii Rurale (2014), Ordinul nr. 839 pentru aprobarea Normelor tehnice de clasificare a carcaselor de porc, Monitorul Oficial nr. 394 din 28.05.2014.

  • Ministerul Agriculturii si Dezvoltarii Rurale (2014), Ordinul nr. 1972 privind modificarea anexei la Ordinul nr. 839/2014 pentru aprobarea Normelor tehnice de clasificare a carcaselor de porci, Monitorul Oficial nr. 15 din 8.01.2015.

  • Savescu, R., Rotaru, M. (2014), Testing the Assumption of a Linear Regression Model. Case Study: SEUROP Pig Carcass Classification System in Romania, Conference Proceeding, SGEM Conference on Political Sciences, Law, Finance, Economics and Tourism, Volume: 4, Albena, Bulgaria, September 2014, pp. 671-678

  • Savescu R. (2015), Elements of Applied Statistics. Case Study: SEUROP Pig Classification System in Romania, 15th EBES Conference, January 8-10, 2015, Lisbon, Portugal.

About the article

Published Online: 2015-09-25

Published in Print: 2015-08-01


Citation Information: Studies in Business and Economics, ISSN (Online) 2344-5416, DOI: https://doi.org/10.1515/sbe-2015-0027. Export Citation

© 2015. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. (CC BY-NC-ND 3.0)

Comments (0)

Please log in or register to comment.
Log in