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Citations for "Completeness, Distribution Restrictions, and the Form of Aggregate Functions"

by Stoker, Thomas M

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  1. Laura Mayoral & Maria Dolores Gadea, 2009. "Analyzing aggregate real exchange rate persistence through the lens of sectoral data," UFAE and IAE Working Papers 787.09, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
  2. M. Hashem Pesaran & Alexander Chudik, 2011. "Aggregation in large dynamic panels," Globalization and Monetary Policy Institute Working Paper 101, Federal Reserve Bank of Dallas.
  3. Orazio P. Attanasio & Martin Browning, 1993. "Consumption over the Life Cycle and over the Business Cycle," NBER Working Papers 4453, National Bureau of Economic Research, Inc.
  4. Stoker, Thomas M., 1983. "Aggregation, structural change and cross section estimation," Working papers 1485-83., Massachusetts Institute of Technology (MIT), Sloan School of Management.
  5. Frank T. Denton & Dean C. Mountain, 2007. "Exploring the Effects of Aggregation Error in the Estimation of Consumer Demand Elasticities," Social and Economic Dimensions of an Aging Population Research Papers 226, McMaster University.
  6. Carlo Fezzi & Ian Bateman, 2015. "The Impact of Climate Change on Agriculture: Nonlinear Effects and Aggregation Bias in Ricardian Models of Farmland Values," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 2(1), pages 57 - 92.
  7. Forni, Mario & Lippi, Marco, 1999. "Aggregation of linear dynamic microeconomic models," Journal of Mathematical Economics, Elsevier, vol. 31(1), pages 131-158, February.
  8. Denton, Frank T. & Mountain, Dean C., 2001. "Income distribution and aggregation/disaggregation biases in the measurement of consumer demand elasticities," Economics Letters, Elsevier, vol. 73(1), pages 21-28, October.
  9. Laura Mayoral, 2013. "Heterogeneous Dynamics, Aggregation, And The Persistence Of Economic Shocks," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54, pages 1295-1307, November.
  10. Stoker, Thomas M., 1983. "Aggregation, efficiency and cross section regression," Working papers 1453-83., Massachusetts Institute of Technology (MIT), Sloan School of Management.
  11. Laisney, François, 1991. "Mikroökonometrische Untersuchung von Aggregationsproblemen: Eine partielle Übersicht," ZEW Discussion Papers 91-03, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  12. van Garderen, Kees Jan & Lee, Kevin & Pesaran, M. Hashem, 2000. "Cross-sectional aggregation of non-linear models," Journal of Econometrics, Elsevier, vol. 95(2), pages 285-331, April.
  13. Denton, Frank T. & Mountain, Dean C., 2011. "Exploring the effects of aggregation error in the estimation of consumer demand elasticities," Economic Modelling, Elsevier, vol. 28(4), pages 1747-1755, July.
  14. Moeltner, Klaus, 2003. "Addressing aggregation bias in zonal recreation models," Journal of Environmental Economics and Management, Elsevier, vol. 45(1), pages 128-144, January.
  15. Frank T. Denton & Dean C. Mountain, 2002. "Aggregation Effects on Price and Expenditure Elasticities in a Quadratic Almost Ideal Demand System," Quantitative Studies in Economics and Population Research Reports 374, McMaster University.
  16. Pesaran, M. H., 1999. "On Aggregation of Linear Dynamic Models," Cambridge Working Papers in Economics 9919, Faculty of Economics, University of Cambridge.
  17. Kleinberg, Norman L. & Ma, Barry K. & Weiss, Jeffrey H., 2012. "On strong independence of allocative efficiency from distribution in the theory of public goods," Economics Letters, Elsevier, vol. 116(3), pages 343-345.
  18. Hashem Pesaran, M., 2003. "Aggregation of linear dynamic models: an application to life-cycle consumption models under habit formation," Economic Modelling, Elsevier, vol. 20(2), pages 383-415, March.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.