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Analyzing Economic Effects of September 11 and Other Extreme Events Using Debit and Payments System Data
14 references·6 citing·50 second hop
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References

  • 2012International Journal of Central Banking1,258 cited
  • 2009Real-Time Measurement of Business Conditions916 cited
  • 2005Large Devaluations and the Real Exchange Rate497 cited
  • 2003Why Don't Prices Rise During Periods of Peak Demand? Evidence from Scanner Data468 cited
  • 2004An Empirical Analysis of Determinants of Retailer Pricing Strategy238 cited
  • 2008Consumers' Use of Debit Cards: Patterns, Preferences, and Price Response224 cited
  • 2009Forecasting Professional Forecasters141 cited
  • 2005Where are We Now? Real-Time Estimates of the Macro Economy135 cited
  • 2000The Check's in the Mail: Why the United States Lags in the Adoption of Cost-Saving Electronic Payments88 cited
  • 2002The Economic Effects of 9/11: A Retrospective Assessment84 cited
  • 2001Scanner Data and the Measurement of Inflation74 cited
  • 2005A Failure in the Measurement of Inflation62 cited
  • 2004CPI Bias from Supercenters: Does the BLS Know that Wal-Mart Exists?60 cited
  • 2005Trends in the Use of Payment Instruments in the United States51 cited

Cited by

  • 2016The Impact of an Epidemic Outbreak on Consumer Expenditures:An Empirical Assessment for MERS Korea

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102 cited
  • 2020Consumers' Mobility, Expenditure and Online-Offline Substitution Response to COVID-19: Evidence from French Transaction Data97 cited
  • 2017Nowcasting with payments system data54 cited
  • 2016A mixed frequency approach to the forecasting of private consumption with ATM/POS data50 cited
  • 2020THE IMPACT OF TRADE CONFLICT ON MONETARY POLICY IN TARGET ECONOMIES11 cited
  • 2013Big data Analysis: The n ext f rontier8 cited