Binary Conditional Forecasts Article Swipe

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Michael W. McCracken , Joseph McGillicuddy , Michael T. Owyang ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.6084/m9.figshare.14484571

While conditional forecasting has become prevalent both in the academic literature and in practice (e.g., bank stress testing, scenario forecasting), its applications typically focus on continuous variables. In this article, we merge elements from the literature on the construction and implementation of conditional forecasts with the literature on forecasting binary variables. We use the Qual-VAR, whose joint VAR-probit structure allows us to form conditional forecasts of the latent variable which can then be used to form probabilistic forecasts of the binary variable. We apply the model to forecasting recessions in real-time and investigate the role of monetary and oil shocks on the likelihood of two U.S. recessions.

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Binary number Econometrics Statistics Mathematics Arithmetic

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OA Status: gold
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DOI: https://doi.org/10.6084/m9.figshare.14484571

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Title: Binary Conditional Forecasts

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Type: dataset

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Language: en

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Publication year: 2022

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Publication date: 2022-01-01

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Authors: Michael W. McCracken, Joseph McGillicuddy, Michael T. Owyang

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Landing page: https://doi.org/10.6084/m9.figshare.14484571

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Open access: Yes

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OA status: gold

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OA URL: https://doi.org/10.6084/m9.figshare.14484571

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Concepts: Binary number, Econometrics, Statistics, Mathematics, Arithmetic

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Cited by: 0

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