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A summary of the conference on real-time data analysis

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  • Tom Stark

Abstract

The conference focused on five topics: data revisions, forecasting, policy analysis, financial research, and macroeconomic research. In \\"A Summary of the Conference on Real-Time Data Analysis,\\" Tom Stark reviews the papers presented at the conference

Suggested Citation

  • Tom Stark, 2002. "A summary of the conference on real-time data analysis," Business Review, Federal Reserve Bank of Philadelphia, issue Q 1, pages 5-11.
    • Handle: RePEc:fip:fedpbr:y:2002:i:q1:p:5-11
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    File URL: https://www.philadelphiafed.org/-/media/frbp/assets/economy/articles/business-review/2002/q1/brq102ts.pdf
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    Cited by:

    1. Troy Matheson & James Mitchell & Brian Silverstone, 2007. "Nowcasting and predicting data revisions in real time using qualitative panel survey data," Reserve Bank of New Zealand Discussion Paper Series DP2007/02, Reserve Bank of New Zealand.
    2. Sarah Lima & Marco Malgarini, 2016. "Does a Survey Based Capacity Utilization Measure Help Predicting Brazilian Output Gap in Real-Time?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 12(1), pages 119-139, September.
    3. Döpke, Jörg, 2004. "Real-time data and business cycle analysis in Germany," Discussion Paper Series 1: Economic Studies 2004,11, Deutsche Bundesbank.
    4. Andreas Fischer & Marlene Amstad, 2004. "Sequential Information Flow and Real-Time Diagnosis of Swiss Inflation: Intra-Monthly DCF Estimates for a Low-Inflation Environment," Working Papers 04.06, Swiss National Bank, Study Center Gerzensee.

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    Keywords

    Macroeconomics;

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