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Movers and stayers in the farming sector: accounting for unobserved heterogeneity in structural change

Listed author(s):
  • Legrand D.F. Saint-Cyr
  • Laurent Piet

This article compares the respective performance of the mover-stayer model (MSM) and the Markov chain model (MCM) to investigate whether accounting for unobserved heterogeneity in the rate of movements of farms across size categories improves the representation of the transition process. The MCM has become a popular tool in agricultural economics research to describe how farms experience structural change and to study the impact of the various drivers of this process, including public support. Even though some studies have accounted for heterogeneity across farms by letting transition probabilities depend on covariates depicting characteristics of farms and/or farmers, only observed heterogeneity has been considered so far. Assuming that structural change may also relate to unobserved characteristics of farms and/or farmers, we present an implementation of the MSM which considers a mixture of two types of farms: the `stayers' who always remain in their initial size category and the `movers' who follow a first-order Markovian process. This modeling framework relaxes the assumption of homogeneity in the transition process which the basis of the usual MCM. Then, we explain how to estimate the model using likelihood maximization and the expectation-maximization (EM) algorithm. An empirical application to a panel of French farms over 2000-2013 shows that the MSM outperforms the MCM in recovering the underlying year-on-year transition process as well as in deriving the longrun transition matrix and predicting the future distribution of farm sizes

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File URL: http://ageconsearch.umn.edu/bitstream/208912/2/WP15-06.pdf
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Paper provided by INRA UMR SMART-LERECO in its series Working Papers SMART - LERECO with number 15-06.

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Length: 31 pages
Date of creation: 2015
Handle: RePEc:rae:wpaper:201506
Contact details of provider: Web page: http://www6.rennes.inra.fr/smart/Working-Papers-SMART-LERECO
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  1. Frydman, Halina & Schuermann, Til, 2008. "Credit rating dynamics and Markov mixture models," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1062-1075, June.
  2. M. C. Hallberg, 1969. "Projecting the Size Distribution of Agricultural Firms—An Application of a Markov Process with Non-Stationary Transition Probabilities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 51(2), pages 289-302.
  3. Christoph R. Weiss, 1999. "Farm Growth and Survival: Econometric Evidence for Individual Farms in Upper Austria," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 103-116.
  4. Piet, Laurent, 2011. "Assessing structural change in agriculture with a parametric Markov chain model. Illustrative applications to EU-15 and the USA," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114668, European Association of Agricultural Economists.
  5. Denis Fougère & Thierry Kamionka, 2003. "Bayesian inference for the mover-stayer model in continuous time with an application to labour market transition data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(6), pages 697-723.
  6. Hugo Storm & Thomas Heckelei & Ron C. Mittelhammer, 2016. "Bayesian estimation of non-stationary Markov models combining micro and macro data," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 43(2), pages 303-329.
  7. Stavins, R. N. & Stanton, B. F., 1980. "Alternative Procedures For Estimating The Size Distribution Of Farms," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 9(2:), October.
  8. Andrea Zimmermann & Thomas Heckelei, 2012. "Structural Change of European Dairy Farms – A Cross-Regional Analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 63(3), pages 576-603, 09.
  9. Karantininis, Kostas, 2002. "Information-based estimators for the non-stationary transition probability matrix: an application to the Danish pork industry," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 275-290, March.
  10. T. C. Lee & G. G. Judge & T. Takayama, 1965. "On Estimating the Transition Probabilities of a Markov Process," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 47(3), pages 742-762.
  11. MacRae, Elizabeth Chase, 1977. "Estimation of Time-Varying Markov Processes with Aggregate Data," Econometrica, Econometric Society, vol. 45(1), pages 183-198, January.
  12. Frydman, Halina, 2005. "Estimation in the Mixture of Markov Chains Moving With Different Speeds," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 1046-1053, September.
  13. Silke Huettel & Roel Jongeneel, 2011. "How has the EU milk quota affected patterns of herd-size change?," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 38(4), pages 497-527, October.
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