IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login

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

by Stoker, Thomas M

For a complete description of this item, click here. For a RSS feed for citations of this item, click here.
as in new window

  1. 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.
  2. Pedro H. Albuquerque, 2003. "A practical log-linear aggregation method with examples: heterogeneous income growth in the USA," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(6), pages 665-678.
  3. Hibbs, Douglas A, Jr, 2000. " Bread and Peace Voting in U.S. Presidential Elections," Public Choice, Springer, vol. 104(1-2), pages 149-80, July.
  4. Bente Halvorsen, 2006. "When can micro properties be used to predict aggregate demand?," Discussion Papers 452, Statistics Norway, Research Department.
  5. Karen E. Dynan & Jonathan Skinner & Stephen P. Zeldes, 2000. "Do the rich save more?," Finance and Economics Discussion Series 2000-52, Board of Governors of the Federal Reserve System (U.S.).
  6. 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.
  7. 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.
  8. 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.
  9. Pedro H. Albuquerque, 2004. "Inequality-Driven Growth: Unveiling Aggregation Effects in Growth Equations," Econometric Society 2004 Latin American Meetings 7, Econometric Society.
  10. 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.
  11. 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.
  12. Wallis, Kenneth F., 2004. "Comparing empirical models of the euro economy," Economic Modelling, Elsevier, vol. 21(5), pages 735-758, September.
  13. 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.
  14. Fair, Ray C & Dominguez, Kathryn M, 1991. "Effects of the Changing U.S. Age Distribution on Macroeconomic Equations," American Economic Review, American Economic Association, vol. 81(5), pages 1276-94, December.
  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. Hashem & Chudik, Alexander, 2011. "Aggregation in Large Dynamic Panels," IZA Discussion Papers 5478, Institute for the Study of Labor (IZA).
  17. David Blake, 2004. "The impact of wealth on consumption and retirement behaviour in the UK," Applied Financial Economics, Taylor & Francis Journals, vol. 14(8), pages 555-576.
  18. 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.
  19. Daniel S. Hamermesh, 1992. "Spatial and Temporal Aggregation in the Dynamics of Labor Demand," NBER Working Papers 4055, National Bureau of Economic Research, Inc.
  20. 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.
  21. Zsolt Becsi, 1999. "Heterogeneity and the welfare cost of dynamic factor taxes," Working Paper 99-2, Federal Reserve Bank of Atlanta.
  22. 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.
  23. Pesaran, M. H., 1999. "On Aggregation of Linear Dynamic Models," Cambridge Working Papers in Economics 9919, Faculty of Economics, University of Cambridge.
  24. 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.
  25. Forni, Mario & Lippi, Marco, 1999. "Aggregation of linear dynamic microeconomic models," Journal of Mathematical Economics, Elsevier, vol. 31(1), pages 131-158, February.
  26. Bente Halvorsen & Bodil M. Larsen, 2008. "The Role of Heterogeneous Demand for Temporal and Structural Aggregation Bias," Discussion Papers 537, Statistics Norway, Research Department.
  27. 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.
  28. Douglas Fisher & Adrian R. Fleissig & Apostolos Serletis, 2001. "An empirical comparison of flexible demand system functional forms," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(1), pages 59-80.
  29. 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.