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Estimation of Non-Stationary Social Accounting Matrix Coefficients with Supply-Side Information

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  • Amos Golan
  • Stephen Vogel

Abstract

Given aggregated data, a framework for estimating the entries of a social accounting matrix (SAM), or any large matrix of expenditures, trade or income flows, is developed. Under this framework it is possible to evaluate the contribution of structural and supply-side information, as well as policy variables, within the generalized context of a non-stationary SAM. Inference and diagnostic properties are developed as well. This new estimator can be viewed as a generalized maximum likelihood estimator. Stationary and non-stationary estimates of the US SAM for the years 1987-1994 together with the effects of supply-side variables are analyzed.

Suggested Citation

  • Amos Golan & Stephen Vogel, 2000. "Estimation of Non-Stationary Social Accounting Matrix Coefficients with Supply-Side Information," Economic Systems Research, Taylor & Francis Journals, vol. 12(4), pages 447-471.
    • Handle: RePEc:taf:ecsysr:v:12:y:2000:i:4:p:447-471
    DOI: 10.1080/09535310020003775
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    3. Светлов Н.М., 2016. "Эконометрический Анализ Развития Сухопутных Транспортных Сетей," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 52(2), pages 60-74, апрель.
    4. Jongeneel, Roelof A. & Longworth, Natasha & Huettel, Silke, 2005. "Dairy Farm Size Distribution in East and West: Evolution and Sensitivity to Structural and Policy Variables: Case-Studies of the Netherlands, Germany, Poland and Hungary," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24772, European Association of Agricultural Economists.
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    8. Jan A van der Linden & Erik Dietzenbacher, 2000. "The Determinants of Structural Change in the European Union: A New Application of RAS," Environment and Planning A, , vol. 32(12), pages 2205-2229, December.
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    11. Arndt, Channing & Benfica, Rui & Tarp, Finn & Thurlow, James & Uaiene, Rafael, 2010. "Biofuels, poverty, and growth: a computable general equilibrium analysis of Mozambique," Environment and Development Economics, Cambridge University Press, vol. 15(1), pages 81-105, February.
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    13. Rodríguez del Valle, Adrián & Fernández-Vázquez, Esteban, 2024. "Analyzing market power of the agricultural industry in Asia," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 652-669.
    14. Alexander Gocht & Norbert Röder & Sebastian Neuenfeldt & Hugo Storm & Thomas Heckelei, 2012. "Modelling farm structural change: A feasibility study for ex-post modelling utilizing FADN and FSS data in Germany and developing an ex-ante forecast module for the CAPRI farm type layer baseline," JRC Research Reports JRC75524, Joint Research Centre.
    15. Arndt, Channing & Wobst, Peter, 2002. "HIV/AIDS and labor markets in Tanzania," TMD discussion papers 102, International Food Policy Research Institute (IFPRI).
    16. G. Ferrari & G. Garau & P. Lecca, 2009. "Constructing a Social Accounting Matrix for Sardinia," Working Paper CRENoS 200902, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    17. Heath Henderson, 2014. "Structural transformation and smallholder agriculture: an information-theoretic analysis of the Nicaraguan case," Agricultural Economics, International Association of Agricultural Economists, vol. 45(4), pages 443-458, July.
    18. Jongeneel, Roelof A., 2002. "An Analysis of the Impact of Alternative EU Dairy Policies on the Size Distribution of Dutch Dairy Farms: an Information Based Approach to the Non-Stationary Markov Chain Model," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24892, European Association of Agricultural Economists.
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    20. Umed Temursho & Manuel Alejandro Cardenete & Krzysztof Wojtowicz & Luis Rey & Matthias Weitzel & Toon Vandyck & Bert Saveyn, 2020. "Projecting input-output tables for model baselines," JRC Research Reports JRC120513, Joint Research Centre.
    21. Maples, Chellie H. & Hagerman, Amy D. & Lambert, Dayton M., 2022. "Ex-ante effects of the 2018 Agricultural Improvement Act’s grassland initiative," Land Use Policy, Elsevier, vol. 116(C).
    22. Wobst, Peter & Arndt, Channing, 2003. "HIV/AIDS and Primary School Performance in Tanzania," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25870, International Association of Agricultural Economists.
    23. Sherman Robinson & Andrea Cattaneo & Moataz El-Said, 2001. "Updating and Estimating a Social Accounting Matrix Using Cross Entropy Methods," Economic Systems Research, Taylor & Francis Journals, vol. 13(1), pages 47-64.
    24. Wojtowicz, Krzysztof & Rey, Luis & Temursho, Umed & Saveyn, Bert & Vandyck, Toon & Tamba, Marie & Weitzel, Matthias, 2019. "PIRAMID: a new methodology to build baselines for CGE models," Conference papers 333023, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    25. Zimmermann, Andrea & Heckelei, Thomas & Adenauer, Marcel, 2007. "Report and Code to Simulate Structural Change," Reports 57468, Wageningen University, SEAMLESS: System for Environmental and Agricultural Modelling; Linking European Science and Society.

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