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Citations for "Simple Tests of Distributional Effects on Macroeconomic Equations"

by Stoker, Thomas M

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  1. Karen E. Dynan & Jonathan Skinner & Stephen Zeldes, 2000. "Do the rich save more?," Finance and Economics Discussion Series 2000-52, Board of Governors of the Federal Reserve System (U.S.).
  2. Pesaran, M. H., 1999. "On Aggregation of Linear Dynamic Models," Cambridge Working Papers in Economics 9919, Faculty of Economics, University of Cambridge.
  3. Sandro Sapio, 2004. "Markets Design, Bidding Rules, and Long Memory in Electricity Prices," Revue d'Économie Industrielle, Programme National Persée, vol. 107(1), pages 151-170.
  4. Hibbs Jr., Douglas A., 2000. "Bread and Peace Voting in U.S. Presidential Elections," Working Papers in Economics 20, University of Gothenburg, Department of Economics.
  5. Jin, Ye & Li, Hongbin & Wu, Binzhen, 2011. "Income inequality, consumption, and social-status seeking," Journal of Comparative Economics, Elsevier, vol. 39(2), pages 191-204, June.
  6. Bente Halvorsen, 2006. "When can micro properties be used to predict aggregate demand?," Discussion Papers 452, Statistics Norway, Research Department.
  7. Daniel S. Hamermesh, 1992. "Spatial and Temporal Aggregation in the Dynamics of Labor Demand," NBER Working Papers 4055, National Bureau of Economic Research, Inc.
  8. Frank T. Denton & Dean C. Mountain, 2016. "Biases in consumer elasticities based on micro and aggregate data: an integrated framework and empirical evaluation," Empirical Economics, Springer, vol. 50(2), pages 531-560, March.
  9. Mark E Doms, 1993. "Inter Fuel Substitution And Energy Technology Heterogeneity In U.S. Manufacturing," Working Papers 93-5, Center for Economic Studies, U.S. Census Bureau.
  10. 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.
  11. Pedro H. Albuquerque, 2005. "Inequality-Driven Growth: Unveiling Aggregation Effects in Growth Equations," Development and Comp Systems 0511028, EconWPA.
  12. Van Garderen, K. J. & Lee, K. & Pesaran M., 1998. "Cross-sectional Aggregation of Non-linear Models," Cambridge Working Papers in Economics 9803, Faculty of Economics, University of Cambridge.
  13. Forni, Mario & Lippi, Marco, 1999. "Aggregation of linear dynamic microeconomic models," Journal of Mathematical Economics, Elsevier, vol. 31(1), pages 131-158, February.
  14. Carlo Fezzi & Ian Bateman, 2013. "The Impact of Climate Change on Agriculture: Nonlinear Effects and Aggregation Bias in Ricardian Models of Farm Land Values," Working Papers 2013.94, Fondazione Eni Enrico Mattei.
  15. Frank Denton & Dean Mountain, 2004. "Aggregation effects on price and expenditure elasticities in a quadratic almost ideal demand system," Canadian Journal of Economics, Canadian Economics Association, vol. 37(3), pages 613-628, August.
  16. Pesaran, M. Hashem & Chudik, Alexander, 2011. "Aggregation in Large Dynamic Panels," IZA Discussion Papers 5478, Institute for the Study of Labor (IZA).
  17. Ray C. Fair & Kathryn M. Dominguez, 1987. "Effects of the Changing U.S. Age Distribution on Macroeconomic Equations," NBER Working Papers 2280, National Bureau of Economic Research, Inc.
  18. Pedro Albuquerque, 2003. "A Practical Log-Linear Aggregation Method with Examples: Heterogeneous Income Growth in the USA," Post-Print halshs-00743830, HAL.
  19. David Blake, 2002. "The impact of wealth on consumption and retirement behaviour in the UK," LSE Research Online Documents on Economics 24949, London School of Economics and Political Science, LSE Library.
  20. 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.
  21. LaFrance, Jeffrey T., 1999. "An Econometric Model of the Demand for Food and Nutrition," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2z5516c2, Department of Agricultural & Resource Economics, UC Berkeley.
  22. Parigi, Giuseppe & Schlitzer, Giuseppe, 1997. "Predicting consumption of Italian households by means of survey indicators," International Journal of Forecasting, Elsevier, vol. 13(2), pages 197-209, June.
  23. Zsolt Becsi, 1999. "Heterogeneity and the welfare cost of dynamic factor taxes," FRB Atlanta Working Paper 99-2, Federal Reserve Bank of Atlanta.
  24. Douglas Fisher & Adrian R. Fleissig & Apostolos Serletis, 2006. "An Empirical Comparison of Flexible Demand System Functional Forms," World Scientific Book Chapters, in: Money And The Economy, chapter 13, pages 247-277 World Scientific Publishing Co. Pte. Ltd..
  25. Perraudin, William R. M. & Sorensen, Bent E., 2000. "The demand for risky assets: Sample selection and household portfolios," Journal of Econometrics, Elsevier, vol. 97(1), pages 117-144, July.
  26. Kenneth F. Wallis, 2004. "Comparing Empirical Models of the Euro Economy," Econometric Society 2004 Australasian Meetings 14, Econometric Society.
  27. Bente Halvorsen & Bodil M. Larsen, 2008. "The Role of Heterogeneous Demand for Temporal and Structural Aggregation Bias," Discussion Papers 537, Statistics Norway, Research Department.
  28. 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.
  29. Diane Macunovich, 1999. "The Baby Boom As It Ages: How Has It Affected Patterns of Consumptions and Savings in the United States?," Center for Policy Research Working Papers 7, Center for Policy Research, Maxwell School, Syracuse University.
  30. Giorgio Fagiolo, 2001. "Engel Curves Specification in an Artificial Model of Consumption Dynamics with Socially Evolving Preferences," LEM Papers Series 2001/16, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.