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Does Consistent Aggregation Really Matter?

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  • Shumway, C. Richard
  • Davis, George C.

Abstract

Consistent aggregation assures that behavioral properties, which apply to disaggregate relationships also, apply to aggregate relationships. The agricultural economics literature is reviewed which has tested for consistent aggregation or measured statistical bias and/or inferential errors due to aggregation. Tests for aggregation bias and errors of inference are conducted using indices previously tested for consistent aggregation. Failure to reject consistent aggregation in a partition did not entirely mitigate erroneous inference due to aggregation. However, inferential errors due to aggregation were small relative to errors due to incorrect functional form or failure to account for time series properties of data.

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  • Shumway, C. Richard & Davis, George C., 2000. "Does Consistent Aggregation Really Matter?," Ag Econ Series 12966, Washington State University, School of Economic Sciences.
    • Handle: RePEc:ags:wsuaes:12966
    DOI: 10.22004/ag.econ.12966
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    2. Denny Meyer & Rob J. Hyndman, 2005. "Rating Forecasts for Television Programs," Monash Econometrics and Business Statistics Working Papers 1/05, Monash University, Department of Econometrics and Business Statistics.
    3. Nicoletta Batini, 2006. "Euro area inflation persistence," Empirical Economics, Springer, vol. 31(4), pages 977-1002, November.
    4. Li, Wenying & Zhen, Chen, 2017. "A Reassessment of Product Aggregation Bias in Demand Analysis: An Application to the U.S. Meat Market," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258197, Agricultural and Applied Economics Association.
    5. Gibson, John & Kim, Bonggeun, 2015. "Hicksian separability does not hold over space: Implications for the design of household surveys and price questionnaires," Journal of Development Economics, Elsevier, vol. 114(C), pages 34-40.
    6. von Cramon-Taubadel, Stephan & Loy, Jens-Peter & Meyer, Jochen, 2006. "Data Aggregation and Vertical Price Transmission: An Experiment with German Food Prices," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25291, International Association of Agricultural Economists.
    7. Andalón, Mabel & Gibson, John, 2017. "The 'Soda Tax' is Unlikely to Make Mexicans Lighter: New Evidence on Biases in Elasticities of Demand for Soda," IZA Discussion Papers 10765, Institute of Labor Economics (IZA).
    8. Stephan von Cramon-Taubadel & Jens-Peter Loy & Jochen Meyer, 2006. "The impact of cross-sectional data aggregation on the measurement of vertical price transmission: An experiment with German food prices," Agribusiness, John Wiley & Sons, Ltd., vol. 22(4), pages 505-522.
    9. Sato, Hideyasu, 2021. "Generalized Axiom of Revealed Preference Tests for Foods and Drinks: The Case of Using POS Data in Japan," 2021 ASAE 10th International Conference (Virtual), January 11-13, Beijing, China 329424, Asian Society of Agricultural Economists (ASAE).
    10. Sato, Hideyasu & 佐藤, 秀保, 2020. "Do Large-scale Point-of-sale Data Satisfy the Generalized Axiom of Revealed Preference in Aggregation Using Representative Price Indexes?: A Case Involving Processed Food and Beverages," RCESR Discussion Paper Series DP19-2, Research Center for Economic and Social Risks, Institute of Economic Research, Hitotsubashi University.
    11. Hallberg, Daniel & Johansson, Per, 2002. "Turnover and Price in the Housing Market: Causation, Association or Independence?," Working Paper Series 2002:12, Uppsala University, Department of Economics.
    12. Andalón, Mabel & Gibson, John, 2018. "The ‘soda tax’ is unlikely to make Mexicans lighter or healthier: New evidence on biases in elasticities of demand for soda," MPRA Paper 86370, University Library of Munich, Germany.
    13. Nguyen, Duong T.M. & McLaren, Keith Robert & Zhao, Xueyan, 2008. "Multi-Output Broadacre Agricultural Production: Estimating A Cost Function Using Quasi-Micro Farm Level Data From Australia," 2008 Conference (52nd), February 5-8, 2008, Canberra, Australia 6009, Australian Agricultural and Resource Economics Society.
    14. Nicoletta Batini, 2006. "Euro area inflation persistence," Empirical Economics, Springer, vol. 31(4), pages 977-1002, November.
    15. Qinghua Liu & C. Richard Shumway, 2004. "Testing aggregation consistency across geography and commodities," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(3), pages 463-486, September.
    16. John Gibson & Bonggeun Kim, 2013. "Testing Hicksian Separability Over Space," Working Papers in Economics 13/07, University of Waikato.
    17. Lee L. Schulz & Ted C. Schroeder & Tian Xia, 2012. "Studying composite demand using scanner data: the case of ground beef in the US," Agricultural Economics, International Association of Agricultural Economists, vol. 43, pages 49-57, November.
    18. Ball, V. Eldon & Moss, Charles B. & Erickson, Kenneth W. & Nehring, Richard F., 2003. "Modeling Supply Response In A Multiproduct Framework Revisited: The Nexus Of Empirics And Economics," 2003 Annual meeting, July 27-30, Montreal, Canada 21981, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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    Keywords

    Research Methods/ Statistical Methods;

    JEL classification:

    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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