Arbeitspapier

MIDAS and bridge equations

This paper compares two single-equation approaches from the recent nowcast literature: Mixed-data sampling (MIDAS) regressions and bridge equations. Both approach are used to nowcast a low-frequency variable such as quarterly GDP growth by higher-frequency business cycle indicators. Three differences between the approaches are discussed: 1) MIDAS is a direct multi-step nowcasting tool, whereas bridge equations are based on iterated forecasts; 2) MIDAS equations employ empirical weighting of high-frequency predictor observations with functional lag polynomials, whereas the weights of indicator observations in bridge equations are partly fixed stemming from time aggregation. 3) MIDAS equations can consider current-quarter leads of high-frequency indicators in the regression, whereas bridge equations typically do not. However, the conditioning set for nowcasting includes the most recent indicator observations in both approaches. To discuss the differences between the approaches in isolation, intermediate specifications between MIDAS and bridge equations are provided. The alternative models are compared in an empirical application to nowcasting GDP growth in the Euro area given a large set of business cycle indicators.

ISBN
978-3-95729-067-0
Language
Englisch

Bibliographic citation
Series: Bundesbank Discussion Paper ; No. 26/2014

Classification
Wirtschaft
Model Construction and Estimation
Forecasting Models; Simulation Methods
Prices, Business Fluctuations, and Cycles: Forecasting and Simulation: Models and Applications
Subject
mixed-data sampling (MIDAS)
bridge equations
GDP nowcasting

Event
Geistige Schöpfung
(who)
Schumacher, Christian
Event
Veröffentlichung
(who)
Deutsche Bundesbank
(where)
Frankfurt a. M.
(when)
2014

Handle
Last update
10.03.2025, 11:41 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Schumacher, Christian
  • Deutsche Bundesbank

Time of origin

  • 2014

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