Estimating a weighted output gap for Switzerland: methodology and application

Abstract This paper introduces a weighted output gap measure for Switzerland that combines univariate filters, multivariate filters, and production function approaches. Published quarterly by SECO since 2019:Q4, the series provides a historically consistent and robust indicator of cyclical conditions. Using an inflation forecasting framework, the weighted gap achieves forecasting performance comparable to leading individual methods; although it does not outperform them uniformly, it provides a balanced and reliable signal that mitigates method-specific weaknesses. These properties make it a useful benchmark for business cycle analysis and policy applications.

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Publication Details

Journal
Zeitschrift für schweizerische Statistik und Volkswirtschaft/Schweizerische Zeitschrift für Volkswirtschaft und Statistik/Swiss journal of economics and statistics
Published
2026-02-26
DOI
https://doi.org/10.1186/s41937-026-00149-w
Primary Topic
German Economic Analysis & Policies
Type
article
Field-Weighted Citation Impact
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article

Estimating a weighted output gap for Switzerland: methodology and application

Christian Glocker, Philipp Wegmüller, Serguei Kaniovski
Zeitschrift für schweizerische Statistik und Volkswirtschaft/Schweizerische Zeitschrift für Volkswirtschaft und Statistik/Swiss journal of economics and statistics
German Economic Analysis & Policies
article

Estimating a weighted output gap for Switzerland: methodology and application

Christian Glocker, Philipp Wegmüller, Serguei Kaniovski
article en

Abstract

Abstract This paper introduces a weighted output gap measure for Switzerland that combines univariate filters, multivariate filters, and production function approaches. Published quarterly by SECO since 2019:Q4, the series provides a historically consistent and robust indicator of cyclical conditions. Using an inflation forecasting framework, the weighted gap achieves forecasting performance comparable to leading individual methods; although it does not outperform them uniformly, it provides a balanced and reliable signal that mitigates method-specific weaknesses. These properties make it a useful benchmark for business cycle analysis and policy applications.

Zeitschrift für schweizerische Statistik und Volkswirtschaft/Schweizerische Zeitschrift für Volkswirtschaft und Statistik/Swiss journal of economics and statisticsVol. 162(1)
Austrian Institute of Economic Research (AT), Federal Department of Economic Affairs, Education and Research (CH)
Decent work and economic growth
Openalex Percentile: Top 45%
German Economic Analysis & Policies
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