Swiss Journal of Economics and Statistics

The paper finds that consumer review data provides additional information for predicting restaurant bankruptcies. Machine learning models achieve the highest prediction accuracy when consumer review and official business data are combined.

The study predicts restaurant bankruptcies by employing five models, including recent machine learning techniques.

The study uses consumer review data collected through webscraping from the two most frequently used online restaurant platforms in Switzerland, Tripadvisor and Google, as well as official business data from Swiss government websites.

New article: sjes.springeropen.com/articles/10....

Pascal Kündig investigates whether publicly available data from online platforms help predict bankruptcies of individual restaurants in Switzerland.

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@mariusbrulhart.bsky.social @kaufmanndani.bsky.social

Furthermore, a sector-level analysis reveals heterogeneous adjustments, with varying degrees of supply-side adjustment flexibility across sectors.

They find that while Swiss total nominal exports decrease in Swiss Francs, they increase in Euros. In real quantities, total exports remain largely unaffected, indicating a high degree of resilience of the Swiss export industry.

Using granular customs data, the authors construct a counterfactual of the evolution of Swiss goods exports under the premise that the minimum exchange rate policy would have been continued.

New article: link.springer.com/article/10.1...

Andreas Brunhart and Martin Geiger investigate the adjustment dynamics of aggregate and sectoral goods exports following the Swiss Franc exchange rate shock in January 2015.

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@kaufmanndani.bsky.social @mariusbrulhart.bsky.social

Possible areas include, but are not limited to, monetary economics, forecasting, climate finance, household finance, political economy, law and economics, economics of regulation, economics of innovation, public economics, media economics, health economics, economics of contracts, and education.

We welcome original research using textual analysis in all fields of economics and finance.

📢 Final call: The Swiss Journal of Economics and Statistics invites submissions for the collection #Textual #Analysis in #Economics and #Finance (final deadline 31 July 2025, link.springer.com/collections/...)

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@kaufmanndani.bsky.social @elliottash.bsky.social @mariusbrulhart.bsky.social

The dataset enables the analysis of differences in COVID-19 fiscal support measures across regions, their timing, political decision-makers, and policy types.

‪@foerki.bsky.social‬‬‬‬‬ @kaufmanndani.bsky.social @mariusbrulhart.bsky.social

It covers 1,330 fiscal policy announcements made at both the federal and cantonal levels in Switzerland. It includes both quantitative and textual information on nine types of fiscal policy instruments. The data has been hand-coded and primarily collected from official sources.

New article in the SJES Data collection: link.springer.com/article/10.1...

Vera Z. Eichenauer, Remo Gurtner, and ‪Furkan Oguz introduce the Swiss COVID-19 fiscal policy dataset, a new high-frequency dataset that covers all fiscal support measures adopted in Switzerland.

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Read the award-winning paper here: sjes.springeropen.com/articles/10....
Learn more about the Swiss Society of Economics and Statistics awards: www.sgvs.ch/awards/

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@mariusbrulhart.bsky.social @kaufmanndani.bsky.social @kurtschmidheiny.bsky.social

We now had the pleasure of meeting Brendan Berthold in person and presenting him with the award.

Congratulations again to the author for his outstanding work!

🏆 Follow-up: Best Paper Award
Last week, we announced the winner of the award for the best paper published in the 2024 edition of the Swiss Journal of Economics and Statistics: Brendan Berthold for his paper, "The Macro-Financial Effects of Climate Policy Risk: Evidence from Switzerland."

The full paper is available open access in the SJES: sjes.springeropen.com/articles/10....

Congratulations to the author for his outstanding work!

@kaufmanndani.bsky.social @mariusbrulhart.bsky.social

He finds that CPR shocks are associated with a significant decline in real GDP and a decline in firm-level CO2 emissions. In addition, CO2-intensive firms’ equity-performance is significantly worse than their greener counterparts following events which increased climate policy risk.

Brendan Berthold quantifies the macroeconomic and financial effects of Climate Policy Risk (CPR) in Switzerland based on a new CPR index using text analysis techniques on a large dataset of Swiss media articles.

🏆 Best Paper Award
The award for the best paper published in the Swiss Journal of Economics and Statistics in 2025 goes to Brendan Berthold for his paper “The macro-financial effects of Climate Policy Risk: evidence from Switzerland”. www.sgvs.ch/awards/

However, the response to such shocks varies by region. Cantons such as Ticino, Neuchâtel, and Basel-Country are more vulnerable due to their specific sectoral specializations and dependence on international inputs.

The authors use a new dataset and input-output techniques to demonstrate that Switzerland is generally resilient to fossil fuel price shocks.

New article: sjes.springeropen.com/articles/10....

Fernández-Amador, Oberdabernig, and Tomberger demonstrate how Swiss cantons are integrated into global supply chains, highlighting the regional impacts of energy price shocks.

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@kaufmanndani.bsky.social @mariusbrulhart.bsky.social

Because the combined measure gives a more accurate signal about credit market conditions, it is a valuable resource for early warning systems and macroprudential policy.

They find that this combined measure outperforms traditional credit gaps, both in forecast accuracy and in its robustness with respect to revisions.

Their method combines various measures, with weights assigned based on their out-of-sample forecasting performance.

New article: sjes.springeropen.com/articles/10....

N. Kundan Kishor and Nam Nguyen propose a novel approach to estimate the credit gap, defined as the deviation of the credit-to-GDP ratio from its long-term trend.

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@kaufmanndani.bsky.social @mariusbrulhart.bsky.social

Projects must provide details about the dataset, including its construction, potential applications, and any access restrictions. Data and code should be made available whenever possible.

We welcome contributions that describe new datasets relevant to economics and related fields or that offer detailed documentation of existing datasets in a manner that supports the replication and extension of empirical research.