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Estimating wealth of self-employed farm households

Author

Listed:
  • Ashok Mishra
  • Hisham S. El-Osta

Abstract

Purpose - The purpose of this paper is to examine the factors that are likely to influence their wealth accumulation. Characteristics of the farm, operator, family and potential successors that contribute to wealth accumulation will be identified. An additional objective of the paper is to determine if there was a discernable difference in the level of wealth accumulation between the two groups of farm households. Design/methodology/approach - The paper uses 2001 Agricultural Resource Management Survey data and a multivariate regression procedure. In particular, the study estimates two models one for those farm households whose wealth resides primarily in the farm and another for households with both farm business and nonfarm wealth. Findings - Results from this study show that differences exist in wealth accumulation among the two groups of farm households based on factors such as farm organization, farm size and farms specializing in Livestock and other crops. Results also show a classic inverted U-shaped wealth/age profile for the two groups of farm households considered in this analysis. However, the disinvestment tends to start at an earlier age for the group of households whose wealth resides primarily in the farm sector, 65 years compared to 82 years for farm households with wealth in both (farm and nonfarm) sectors. Findings from this study show a positive correlation between education and wealth accumulation for both groups of households. Practical implications - Results point to the importance of land in the wealth portfolio of farm households and the influence of farms locations on wealth accumulation. The findings highlight the importance of maintaining a stable agricultural economy, particularly for farm households who derive their wealth from farming, with accompanying effect on land markets and the subsequent effect on the equity position, and debt servicing capacity of farm households. Originality/value - This study differs from the more general agricultural finance and farm income literature in several ways. First, none of the studies in the literature has estimated the wealth of self-employed households in general and farm households in particular. Second, since farm households collect wealth via farm and nonfarm sources their wealth accumulation method and motives are different than all other households. Third, unlike previous studies, the analysis here is conducted on a national farm-level data with the unique feature of a larger sample than previously reported, comprising farms of different economic sizes and in different regions of the USA.

Suggested Citation

  • Ashok Mishra & Hisham S. El-Osta, 2009. "Estimating wealth of self-employed farm households," Agricultural Finance Review, Emerald Group Publishing, vol. 69(2), pages 248-262, July.
  • Handle: RePEc:eme:afrpps:v:69:y:2009:i:2:p:248-262
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    References listed on IDEAS

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    1. Lawrence Rubey & Frank Lupi, 1997. "Predicting the Effects of Market Reform in Zimbabwe: A Stated Preference Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 89-99.
    2. Gloy, Brent A. & Hyde, Jeffrey & LaDue, Eddy L., 2002. "Dairy Farm Management and Long-Term Farm Financial Performance," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 31(2), October.
    3. Arne Risa Hole, 2007. "A comparison of approaches to estimating confidence intervals for willingness to pay measures," Health Economics, John Wiley & Sons, Ltd., vol. 16(8), pages 827-840.
    4. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D., 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, December.
    5. Jayson L. Lusk & Darren Hudson, 2004. "Willingness-to-Pay Estimates and Their Relevance to Agribusiness Decision Making," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 26(2), pages 152-169.
    6. Jayson L. Lusk & Jutta Roosen & John A. Fox, 2003. "Demand for Beef from Cattle Administered Growth Hormones or Fed Genetically Modified Corn: A Comparison of Consumers in France, Germany, the United Kingdom, and the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 16-29.
    7. Cummings, Ronald G & Harrison, Glenn W & Rutstrom, E Elisabet, 1995. "Homegrown Values and Hypothetical Surveys: Is the Dichotomous Choice Approach Incentive-Compatible?," American Economic Review, American Economic Association, pages 260-266.
    8. Wayne H. Howard & Glen C. Filson, 1994. "An Evaluation of the Ontario Farm Business Management Association Program," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 42(3), pages 327-341, November.
    9. T.S. Jayne & Lawrence Rubey & Frank Lupi & David Tschirley & Michael T. Weber, 1996. "Estimating Consumer Response to Food Market Reform Using Stated Preference Data: Evidence from Eastern and Southern Africa," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(3), pages 820-824.
    10. Tonsor, Glynn T. & Schroeder, Ted C. & Fox, John A. & Biere, Arlo W., 2005. "European Preferences for Beef Steak Attributes," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 30(02), August.
    11. Wiktor Adamowicz & Peter Boxall & Michael Williams & Jordan Louviere, 1998. "Stated Preference Approaches for Measuring Passive Use Values: Choice Experiments and Contingent Valuation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 64-75.
    12. Karen Blumenschein & Magnus Johannesson & Glenn C. Blomquist & Bengt Liljas & Richard M. O’Conor, 1998. "Experimental Results on Expressed Certainty and Hypothetical Bias in Contingent Valuation," Southern Economic Journal, Southern Economic Association, vol. 65(1), pages 169-177, July.
    13. Brian Roe & Thomas L. Sporleder & Betsy Belleville, 2004. "Hog Producer Preferences for Marketing Contract Attributes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 115-123.
    14. Maria L. Loureiro & Jill J. McCluskey & Ron C. Mittelhammer, 2003. "Are Stated Preferences Good Predictors of Market Behavior?," Land Economics, University of Wisconsin Press, vol. 79(1), pages 44-45.
    15. Marcellino, Dana M. & Wilson, Christine A., 2006. "Valuing Farm Financial Information," 2006 Annual meeting, July 23-26, Long Beach, CA 21243, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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    Cited by:

    1. Céline Bessière & Caroline De Paoli & Muriel Roger & Bénédicte Gouraud, 2011. "Les agriculteurs et leur patrimoine : des indépendants comme les autres ?," Économie et Statistique, Programme National Persée, vol. 444(1), pages 55-74.
    2. Todd Kuethe, 2012. "The Agricultural Resource Management Survey: An information system for production agriculture," Agricultural Finance Review, Emerald Group Publishing, vol. 72(2), pages 191-200, July.
    3. repec:dau:papers:123456789/11698 is not listed on IDEAS

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