Macroeconomic Nowcasting and Forecasting with Big Data

被引:59
|
作者
Bok, Brandyn [1 ]
Caratelli, Daniele [2 ]
Giannone, Domenico [1 ]
Sbordone, Argia M. [1 ]
Tambalotti, Andrea [1 ]
机构
[1] Fed Reserve Bank New York, New York, NY 10045 USA
[2] Stanford Univ, Dept Econ, Stanford, CA 94305 USA
来源
关键词
monitoring economic conditions; business cycle analysis; high-dimensional data; real-time data flow; DYNAMIC-FACTOR MODEL; REAL-TIME; LARGE NUMBER; GERMAN GDP; INDICATORS; COINCIDENT; SERIES; MIDAS; RUN;
D O I
10.1146/annurev-economics-080217-053214
中图分类号
F [经济];
学科分类号
02 ;
摘要
Data, data, data .... Economists know their importance well, especially when it comes to monitoring macroeconomic conditions-the basis for making informed economic and policy decisions. Handling large and complex data sets was a challenge that macroeconomists engaged in real-time analysis faced long before so-called big data became pervasive in other disciplines. We review how methods for tracking economic conditions using big data have evolved over time and explain how econometric techniques have advanced to mimic and automate best practices of forecasters on trading desks, at central banks, and in other market-monitoring roles. We present in detail the methodology underlying the New York Fed Staff Nowcast, which employs these innovative techniques to produce early estimates of GDP growth, synthesizing a wide range of macroeconomic data as they become available.
引用
收藏
页码:615 / 643
页数:29
相关论文
共 50 条
  • [31] Interval Forecasting on Big Data Context
    Wu, Berlin
    [J]. PREDICTIVE ECONOMETRICS AND BIG DATA, 2018, 753 : 737 - 751
  • [32] FDI Forecasting in View of Big Data
    Xu Xiaofei
    [J]. PROCEEDINGS OF THE 9TH (2017) INTERNATIONAL CONFERENCE ON FINANCIAL RISK AND CORPORATE FINANCE MANAGEMENT, 2017, : 145 - 150
  • [33] NOWCASTING IS NOT JUST CONTEMPORANEOUS FORECASTING
    Castle, Jennifer L.
    Fawcett, Nicholas W. P.
    Hendry, David F.
    [J]. NATIONAL INSTITUTE ECONOMIC REVIEW, 2009, 210 (01) : 71 - 89
  • [34] Macroeconomic uncertainty and forecasting macroeconomic aggregates
    Reif, Magnus
    [J]. STUDIES IN NONLINEAR DYNAMICS AND ECONOMETRICS, 2021, 25 (02):
  • [35] Big Data- Forecasting Data Currency with R
    Paul, Livea Rose
    Sadath, Lipsa
    [J]. 2021 11TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, DATA SCIENCE & ENGINEERING (CONFLUENCE 2021), 2021, : 286 - 291
  • [36] Mining Google Trends data for nowcasting and forecasting colorectal cancer (CRC) prevalence
    Tudor, Cristiana
    Sova, Robert Aurelian
    [J]. PEERJ COMPUTER SCIENCE, 2023, 9
  • [37] Data-Driven Photovoltaic Power Production Nowcasting and Forecasting for Polygeneration Microgrids
    Oneto, Luca
    Laureri, Federica
    Robba, Michela
    Delfino, Federico
    Anguita, Davide
    [J]. IEEE SYSTEMS JOURNAL, 2018, 12 (03): : 2842 - 2853
  • [38] Nowcasting algorithm for wind fields using ensemble forecasting and aircraft flight data
    Kikuchi, Ryota
    Misaka, Takashi
    Obayashi, Shigeru
    Inokuchi, Hamaki
    Oikawa, Hiroshi
    Misumi, Akeo
    [J]. METEOROLOGICAL APPLICATIONS, 2018, 25 (03) : 365 - 375
  • [39] Macroeconomic Forecasting With Mixed-Frequency Data: Forecasting Output Growth in the United States
    Clements, Michael P.
    Galvao, Ana Beatriz
    [J]. JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 2008, 26 (04) : 546 - 554
  • [40] Forecasting macroeconomic data for an emerging market with a nonlinear DSGE model
    Balcilar, Mehmet
    Gupta, Rangan
    Kotze, Kevin
    [J]. ECONOMIC MODELLING, 2015, 44 : 215 - 228