Lightnews — Scholar-powered news

Swiss Journal of Economics and Statistics @sjeseditors.bsky.social · 7d

She uses textual analysis to extract regional economic sentiments from 15 large Swiss newspapers, with a focus on differences in German and French articles. She finds that regional indicators are useful to forecast regional economic fluctuations.

2

Swiss Journal of Economics and Statistics @sjeseditors.bsky.social · 7d

New article in our collection Textual Analysis in Economics and Finance by Marie-Catherine Bieri sjes.springeropen.com/articles/10....

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

1 2 2

Swiss Journal of Economics and Statistics @sjeseditors.bsky.social · 24d

The annual loss in domestic grocery sales due to cross-border shopping amounts to 1.5 billion Swiss francs, equivalent to 3.8% of the total market. Larger and lower-income households exhibit a particularly strong propensity to shop abroad.

1 2

Swiss Journal of Economics and Statistics @sjeseditors.bsky.social · 24d

The study shows that cross-border shopping expands product variety and lowers prices for consumers in high-price countries, but it diminishes domestic tax revenues, reduces sales, and shifts demand away from local retailers.

1 2

Swiss Journal of Economics and Statistics @sjeseditors.bsky.social · 24d

To identify the causal effect of Switzerland’s COVID-19 border closure on domestic grocery expenditures, the author compares Swiss households living near the national border to Swiss households further inland, using a difference-in-differences framework.

1 3

Swiss Journal of Economics and Statistics @sjeseditors.bsky.social · 24d

The study uses detailed grocery transaction data from a large retailer combined with administrative data.

1 2

Swiss Journal of Economics and Statistics @sjeseditors.bsky.social · 24d

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

Frédéric Kluser investigates the socioeconomic implications of cross-border shopping by exploiting Switzerland’s COVID-19-induced border closure in 2020 as a natural experiment.

#EconSky
@mariusbrulhart.bsky.social @kaufmanndani.bsky.social

1 3 4

Swiss Journal of Economics and Statistics @sjeseditors.bsky.social · 28d

Therefore, climate policies aimed at reducing emissions from these goods (particularly the luxury versions of those goods) can help ensure that high-income households participate in the emissions reduction effort to an appropriate degree.

Swiss Journal of Economics and Statistics @sjeseditors.bsky.social · 28d

Furthermore, it finds that for certain consumption categories, such as transportation (especially aviation), clothing, leisure activities, and eating out, high-income households account for a larger share of total national consumption compared to other categories.

1

Swiss Journal of Economics and Statistics @sjeseditors.bsky.social · 28d

The paper shows that climate policy can be maintained distributionally equitable if the revenues generated from emissions pricing are recycled to households. Low-income households are vulnerable to user-pays policies. Implementing per-capita lump-sum recycling can make the policy more progressive.

1

Swiss Journal of Economics and Statistics @sjeseditors.bsky.social · 28d

The study uses data from the Swiss Household Budget Survey, which provides information on household income and spending for different consumption goods. The author exploits a database providing estimates of global warming potential per unit of consumption for all consumption goods and categories.

1 1

Swiss Journal of Economics and Statistics @sjeseditors.bsky.social · 28d

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

@florian-landis.bsky.social examines how different consumption goods contribute to household-level responsibility for global greenhouse gas emissions in Switzerland and explores climate policies that create equitable outcomes.

#EconSky

1 3 5

Swiss Journal of Economics and Statistics @sjeseditors.bsky.social · Aug 21

At the Swiss Journal of Economics and Statistics we aim to provide quick feedback and an efficient review process (submission to first decision 7 days; submission to acceptance 278 days). In addition, your article will be published open-access free of charge.

1

Swiss Journal of Economics and Statistics @sjeseditors.bsky.social · Aug 21

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.

1

Swiss Journal of Economics and Statistics @sjeseditors.bsky.social · Aug 21

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

1

Swiss Journal of Economics and Statistics @sjeseditors.bsky.social · Aug 21

📢 Extended deadline for the collection #Textual #Analysis in #Economics and #Finance link.springer.com/collections/...

Submit your articles until 31 December 2025.

#EconSky
@kaufmanndani.bsky.social @elliottash.bsky.social
@mariusbrulhart.bsky.social

1 2 4

Reposted by Swiss Journal of Economics and Statistics

FBK-IRVAPP @fbk-irvapp.bsky.social · Aug 5

🎉 New publication by Annalisa Tassi and Adrien Bussy: “Cross-border Value-Added Tax Fraud in the European Union”

💡 Their paper examines the impact of introducing the reverse-charge mechanism on domestic transactions to curb VAT fraud linked to intra-EU trade.

sjes.springeropen.com/articles/10....

Cross-border value-added tax fraud in the European Union - Swiss Journal of Economics and Statistics

We study the effects of a reform to VAT rules (the reverse charge mechanism on domestic transactions) aimed at eliminating VAT fraud involving cross-border transactions within the European Union (EU)....

sjes.springeropen.com

2 3

Swiss Journal of Economics and Statistics @sjeseditors.bsky.social · Aug 5

They find that pre-reform fraud amounts to around 4% of the trade volume of treated products, or 0.1–0.2% of overall VAT revenues in reform countries in the preceding year. They show that fraud is concentrated in countries with higher corruption, lower customs efficiency, and lower GDP per capita.

2

Swiss Journal of Economics and Statistics @sjeseditors.bsky.social · Aug 5

To identify fraud, the study uses a difference-in-differences approach comparing the reporting gaps associated with the goods to which the DRCM applies (treated) to those to which it does not (control) within a narrowly defined time window around the reform date.

1 1

Swiss Journal of Economics and Statistics @sjeseditors.bsky.social · Aug 5

The authors collected data on 54 instances of DRCM implementations across 24 EU member states between 2004 and 2019.

1 1

Swiss Journal of Economics and Statistics @sjeseditors.bsky.social · Aug 5

The reform analyzed in this paper allows member states to impose a shift in the tax liability from the seller onto the buyer for domestic supplies of selected commodities, known as the domestic reverse charge mechanism (DRCM).

1 1

Swiss Journal of Economics and Statistics @sjeseditors.bsky.social · Aug 5

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

Adrien Bussy and Annalisa Tassi study the effects of a reform to VAT rules aimed at eliminating cross-border VAT fraud within the European Union.

#EconSky
@mariusbrulhart.bsky.social @kaufmanndani.bsky.social

1 3 5

Swiss Journal of Economics and Statistics @sjeseditors.bsky.social · Aug 5

The authors collected data on 54 instances of DRCM implementations across 24 EU member states between 2004 and 2019.

Swiss Journal of Economics and Statistics @sjeseditors.bsky.social · Aug 5

The reform analyzed in this paper allows EU member states to impose a shift in the tax liability from the seller onto the buyer for domestic supplies of selected commodities, known as the domestic reverse charge mechanism (DRCM).

Swiss Journal of Economics and Statistics @sjeseditors.bsky.social · Jul 29

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.

2