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

Citations for "Excess Sensitivity and Asymmetries in Consumption: An Empirical Investigation"

by René Garcia & Serena Ng & Annamaria Lusardi

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. Limosani, Michele & Millemaci, Emanuele, 2011. "Evidence on excess sensitivity of consumption to predictable income growth," Research in Economics, Elsevier, vol. 65(2), pages 71-77, June.
  2. Jappelli, Tullio & Pistaferri, Luigi, 2000. "Using subjective income expectations to test for excess sensitivity of consumption to predicted income growth," European Economic Review, Elsevier, vol. 44(2), pages 337-358, February.
  3. Andrei SEMENOV, . "Asset Pricing with Idiosyncratic Consumption Risk and Limited Participation," EcoMod2004 330600126, EcoMod.
  4. Amigues, J-P & Favard, P.author-name: Gaudet, G. & Moreaux, M, 1996. "On the Optimal Order of Natural Resource Use When the Capacity of the Inexhaustible Substitute is Limited," Cahiers de recherche 9628, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
  5. Umar Faruqui & Samah Torchani, 2012. "How Important Are Liquidity Constraints for Canadian Households? Evidence from Micro-Data," Discussion Papers 12-9, Bank of Canada.
  6. Andrew Benito & Haroon Mumtaz, 2006. "Consumption excess sensitivity, liquidity constraints and the collateral role of housing," Bank of England working papers 306, Bank of England.
  7. Jeong-Joon Lee & Yasuyuki Sawada, 2005. "Precautionary Saving under Liquidity Constraints: Evidence from Rural Pakistan (Published in "Journal of Development Economics". )," CARF F-Series CARF-F-051, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
  8. Geng Li, 2007. "Transaction costs and consumption," Finance and Economics Discussion Series 2007-38, Board of Governors of the Federal Reserve System (U.S.).
  9. GOBERT, Karine & POITEVIN, Michel, 1998. "Non-Commitment and Savings in Dynamic Risk-Sharing Contracts," Cahiers de recherche 9806, Universite de Montreal, Departement de sciences economiques.
  10. Del Boca, Daniela & Lusardi, Annamaria, 2002. "Credit Market Constraints and Labor Market Decisions," IZA Discussion Papers 598, Institute for the Study of Labor (IZA).
  11. Davoine, Thomas, 2012. "Time constraints, saving and old age," Economics Working Paper Series 1221, University of St. Gallen, School of Economics and Political Science.
  12. Andrei Semenov, 2004. "Asset Pricing with Idiosyncratic Consumption Risk and Limited Participation," Working Papers 2004_1, York University, Department of Economics.
  13. Jeong-Joon Lee & Yasuyuki Sawada, 2005. "Precautionary Saving under LiquidityConstraints: Evidence from Rural Pakistan," CIRJE F-Series CIRJE-F-377, CIRJE, Faculty of Economics, University of Tokyo.
  14. Jerome Adda & Jonathan Eaton, 1998. "Borrowing iwth Unobserved Liquidity Constraints: Structural Estimation with an Application to Sovereign Debt," Boston University - Institute for Economic Development 84, Boston University, Institute for Economic Development.
  15. Sònia Muñoz, 2006. "Wealth Effects in Europe; A Tale of Two Countries (Italy and the United Kingdom)," IMF Working Papers 06/30, International Monetary Fund.
  16. Filer, Larry & Fisher, Jonathan D., 2007. "Do liquidity constraints generate excess sensitivity in consumption? New evidence from a sample of post-bankruptcy households," Journal of Macroeconomics, Elsevier, vol. 29(4), pages 790-805, December.
  17. repec:dgr:uvatin:2010021 is not listed on IDEAS
  18. Manuela Deidda, 2014. "Precautionary saving under liquidity constraints: evidence from Italy," Empirical Economics, Springer, vol. 46(1), pages 329-360, February.
  19. Yasuyuki Sawada & Kazumitsu Nawata & Masako Ii & Jeong-Joon Lee, 2007. "Did the Credit Crunch in Japan Affect Household Welfare? An Augmented Euler Equation Approach Using Type 5 Tobit Model," CIRJE F-Series CIRJE-F-498, CIRJE, Faculty of Economics, University of Tokyo.
  20. Sun Jin Kang & Yasuyuki Sawada, 2003. "Credit Crunches and Household Welfare: The Case of the Korean Financial Crisis," CIRJE F-Series CIRJE-F-234, CIRJE, Faculty of Economics, University of Tokyo.
  21. Tagkalakis, Athanasios, 2008. "The effects of fiscal policy on consumption in recessions and expansions," Journal of Public Economics, Elsevier, vol. 92(5-6), pages 1486-1508, June.
  22. Yasuyuki Sawada & Sung Jin Kang, 2004. "Credit Crunches and Household Welfare: The Case of Korean Financial Crisis," Econometric Society 2004 Far Eastern Meetings 751, Econometric Society.
  23. Seckin, Aylin, 2001. "Consumption-leisure choice with habit formation," Economics Letters, Elsevier, vol. 70(1), pages 115-120, January.
  24. Bascuñán, Mauricio & Garcia, René & Poitevin, Michel, 1995. "Information asymétrique, contraintes de liquidité et investissement," L'Actualité Economique, Société Canadienne de Science Economique, vol. 71(4), pages 398-420, décembre.
  25. Jonathan Fisher & Larry Filer & Angela Lyons, . "Is the Bankruptcy Flag Binding? Access to Credit Markets for Post-Bankruptcy Households," American Law & Economics Association Annual Meetings 1041, American Law & Economics Association.
  26. Tutino, Antonella, 2008. "The rigidity of choice: lifetime savings under information-processing constraints," MPRA Paper 16744, University Library of Munich, Germany, revised 24 Jul 2009.
  27. Gary V. Engelhardt, 1995. "House Prices and Home Owner Saving Behavior," NBER Working Papers 5183, National Bureau of Economic Research, Inc.
  28. Andrew Benito, 2007. "Housing equity as a buffer: evidence from UK households," Bank of England working papers 324, Bank of England.
  29. Shoji, Masahiro & Aoyagi, Keitaro & Kasahara, Ryuji & Sawada, Yasuyuki & Ueyama, Mika, 2012. "Social Capital Formation and Credit Access: Evidence from Sri Lanka," World Development, Elsevier, vol. 40(12), pages 2522-2536.
  30. repec:nsr:niesrd:287 is not listed on IDEAS
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.