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Subjective Financial Distress in the Formation of Consumer Confidence: Evidence from Novel Household Data

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  • Tufan Ekici

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  • Tufan Ekici, 2016. "Subjective Financial Distress in the Formation of Consumer Confidence: Evidence from Novel Household Data," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 30(2), pages 11-36.
  • Handle: RePEc:boz:journl:v:30:y:2016:i:2:p:11-36
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    References listed on IDEAS

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    2. Brown, Sarah & Taylor, Karl & Wheatley Price, Stephen, 2005. "Debt and distress: Evaluating the psychological cost of credit," Journal of Economic Psychology, Elsevier, vol. 26(5), pages 642-663, October.
    3. Carroll, Christopher D & Fuhrer, Jeffrey C & Wilcox, David W, 1994. "Does Consumer Sentiment Forecast Household Spending? If So, Why?," American Economic Review, American Economic Association, vol. 84(5), pages 1397-1408, December.
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    12. Lucia F. Dunn & Ida A. Mirzaie, 2006. "Turns in Consumer Confidence: An Information Advantage Linked to Manufacturing," Economic Inquiry, Western Economic Association International, vol. 44(2), pages 343-351, April.
    13. Lucia Dunn & Tufan Ekici & Paul J. Lavrakas & Jeffery A. Stec, 2004. "An Index to Track Credit Card Debt and Predict Consumption," Working Papers 04-04, Ohio State University, Department of Economics.
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    23. Drentea, Patricia & Lavrakas, Paul J., 2000. "Over the limit: the association among health, race and debt," Social Science & Medicine, Elsevier, vol. 50(4), pages 517-529, February.
    24. Khoon Lek Goh, 2003. "Does Consumer Confidence Forecast Consumption Expenditure in New Zealand?," Treasury Working Paper Series 03/22, New Zealand Treasury.
    25. BELTRAN, Helena & DURRE, Alain, 2003. "The determinants of consumer confidence: the case of United States and Belgium," LIDAM Discussion Papers CORE 2003053, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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    Cited by:

    1. Huijian Han & Zhiming Li & Zongwei Li, 2023. "Using Machine Learning Methods to Predict Consumer Confidence from Search Engine Data," Sustainability, MDPI, vol. 15(4), pages 1-12, February.

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