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The perils of working with Big Data and a SMALL framework you can use to avoid them (REVISED March 2, 2021)
Scott A. Brave, R. Andrew Butters, Michael Fogarty | 2020 | Working Papers | No.  2020-35 | December
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Predicting Benchmarked US State Employment Data in Realtime (REVISED March 2021)
Scott A. Brave, Charles Gascon, William Kluender, Thomas Walstrum | 2019 | Working Papers | No.  2019-11
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Very Simple Markov-Perfect Industry Dynamics: Empirics
Jaap H.  Abbring , Jeffrey R. Campbell, Jan Tilly, Nan Yang | 2018 | Working Papers | No.  2018-17
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Easy Bootstrap-Like Estimation of Asymptotic Variances
Bo E.  Honoré, Luojia Hu | 2018 | Working Papers | No.  2018-11
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Selection Without Exclusion
Bo E.  Honoré, Luojia Hu | 2018 | Working Papers | No.  2018-10
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The Age-Time-Cohort Problem and the Identification of Structural Parameters in Life-Cycle Models
Sam Schulhofer-Wohl | 2017 | Working Papers | No.  2017-18
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Using Private Sector “Big Data” as an Economic Indicator: The Case of Construction Spending
Daniel Aaronson, Scott A. Brave, Ross Cole | 2016 | Chicago Fed Letter | No.  366
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Signaling Effects of Monetary Policy
Leonardo Melosi | 2016 | Working Papers | No.  2016-14
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Forecasting Economic Activity with Mixed Frequency Bayesian VARs (Revised July 2018)
Scott A. Brave, R. Andrew Butters, Alejandro Justiniano | 2016 | Working Papers | No.  2016-05
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Simpler Bootstrap Estimation of the Asymptotic Variance of U-statistic Based Estimators (Revised June 2017)
Bo E.  Honoré, Luojia Hu | 2015 | Working Papers | No.  2015-07 | September
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