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On Interpreting Inverse Demand Systems: A Primal Comparison of Scale Flexibilities and Income Elasticities

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  • Hoanjae Park
  • Walter N. Thurman

Abstract

Scale flexibilities in inverse demand systems describe how marginal valuations change with expansions in the consumption bundle. Such effects clearly are related to income elasticities in direct demand systems. However, the connection is not so close as it first appears. We argue that the link between scale flexibilities and income elasticities is tight only if preferences are homothetic, a situation where neither measure is interesting, or if all elasticities of substitution are unitary. We make clear the relationship between the two measures in a coordinate system focusing on how marginal rates of substitution change with consumption scale and proportion. Copyright 1999, Oxford University Press.

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  • Hoanjae Park & Walter N. Thurman, 1999. "On Interpreting Inverse Demand Systems: A Primal Comparison of Scale Flexibilities and Income Elasticities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 950-958.
  • Handle: RePEc:oup:ajagec:v:81:y:1999:i:4:p:950-958
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    2. Goodwin, Barry K. & Harper, Daniel C. & Schnepf, Randall D., 2003. "Short-Run Demand Relationships in the U.S. Fats and Oils Complex," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 35(01), April.
    3. Robert H. Beach & Matthew T. Holt, 2001. "Incorporating Quadratic Scale Curves in Inverse Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 230-245.
    4. Huang, Pei, 2014. "An Inverse Demand System for Blue Crab in the Chesapeake Bay: Endogeneity and Seasonality," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169827, Agricultural and Applied Economics Association.
    5. Gary Wong & Qiao Yu, 2001. "Inverse Demand Systems for Composite Liquid Assets: Evidence from China," School of Economics and Finance Discussion Papers and Working Papers Series 097, School of Economics and Finance, Queensland University of Technology.
    6. Crawford, Gregory S. & Deer, Lachlan & Smith, Jeremy & Sturgeon, Paul, 2017. "The Regulation of Public Service Broadcasters: Should there be more advertising on television?," CEPR Discussion Papers 12428, C.E.P.R. Discussion Papers.
    7. Eric Sjöberg, 2014. "Pricing the Fish Market- Does size matter?," Working Paper Series, Department of Economics, University of Utah 2014_01, University of Utah, Department of Economics.
    8. C. Carter & S. Mohapatra, 2013. "Inventories and antidumping: the case of orange juice trade," Empirical Economics, Springer, vol. 45(1), pages 247-266, August.
    9. Nti, Frank Kyekyeku, 4. "Nafta At 21: Structural Change In Mexican’S Demand For U.S. Meat And Meat Products," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 4(4).
    10. Keith R. McLaren & K. K. Gary Wong, 2009. "The Benefit Function Approach to Modeling Price-Dependent Demand Systems: An Application of Duality Theory," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(4), pages 1110-1123.
    11. Asche, Frank & Zhang, Dengjun, 2013. "Testing Structural Changes in the U.S. Whitefish Import Market: An Inverse Demand System Approach," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 42(3), December.
    12. Chin-Hwa Jenny Sun & Fu-Sung Chiang & Patrice Guillotreau & Dale Squires, 2015. "Fewer Fish for Higher Profits? Price Response and Economic Incentives in Global Tuna Fisheries Management," Working Papers hal-01110771, HAL.
    13. Hoanjae Park, 2004. "On inferring individual behaviour from market behaviour in a predetermined quantities model," Applied Economics, Taylor & Francis Journals, vol. 36(7), pages 715-721.

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