Using brand-level sales data from Chinese e-commerce platforms, this study examines how geopolitical tensions affect multinational brands operating in China. Merging these sales data with a U.S.–China tension index, we use panel regressions and local projections to show that rising tensions significantly reduce the market share of U.S. brands in China relative to brands from other countries, with the effects persisting for up to 12 months. An event study employing a difference-in-differences framework, centered on brand-specific incidents of political tension with China, reveals similar market share declines among affected brands, highlighting consumer sentiment as a key transmission channel.

This study provides new evidence on the impact of the EU Cohesion Policy on income growth in less developed regions. Our panel includes data from all European regions for the years 1989-2020. Using a fuzzy Regression Discontinuity Design, we model treatment dynamics by applying a random effects estimator. Based on digitized historical data, we precisely replicate the policy rule and correctly classify the regions’ eligibility status. Results show that the policy has a moderate positive effect on GDP per capita growth in the targeted regions.

This paper studies the impact of household indebtedness on the transmission of monetary policy to consumption using the Chinese household-level survey data. We employ a panel smooth transition regression model to investigate the non-linear role of indebtedness. We find that housing-related indebtedness weakens the monetary policy transmission, and this effect is non-linear as there is a much larger counteraction of consumption in response to monetary policy shocks when household indebtedness increases from a low level rather than from a high level. Moreover, the weakened monetary policy transmission from indebtedness is stronger in urban households than in rural households. This can be explained by the investment good characteristic of real estate in China.

Income inequality has been a major concern of economic policy makers for several years. Can minimum wages help to mitigate inequality? In 2015, the German government introduced a nationwide statutory minimum wage to reduce income inequality by improving the labour income of low-wage employees. However, the employment effects of wage increases depend on time and region specific conditions and, hence, they cannot be known in advance. Because negative employment effects may offset the income gains for low-wage employees, it is important to evaluate minimum-wage policies empirically. We estimate the employment effects of the German minimum-wage introduction using panel regressions on the state-industry-level. We find a robust negative effect of the minimum wage on marginal and a robust positive effect on regular employment. In terms of the number of jobs, our results imply a negative overall effect. Hence, low-wage employees who are still employed are better off at the expense of those who have lost their jobs due to the minimum wage.

This paper examines the extent to which errors in economic forecasts are driven by initial assumptions that prove to be incorrect ex post. Therefore, we construct a new data set comprising an unbalanced panel of annual forecasts from different institutions forecasting German GDP and the underlying assumptions. We explicitly control for different forecast horizons to proxy the information available at the release date. Over 75% of squared errors of the GDP forecast comove with the squared errors in their underlying assumptions. The root mean squared forecast error for GDP in our regression sample of 1.52% could be reduced to 1.13% by setting all assumption errors to zero. This implies that the accuracy of the assumptions is of great importance and that forecasters should reveal the framework of their assumptions in order to obtain useful policy recommendations based on economic forecasts.

This article applies an adjusted growth diagnostic approach to identify the currently most binding constraint on financing growth in the West Balkan countries. Since this group of economies faces both structural and systemic transformation problems, the original supply-side approach might not be sufficient to detect the most binding constraint. The results of the analysis indicate that the binding constraint on credit and investment growth in the region is the high and increasing share of nonperforming loans, primarily in the household sector, due to policy failures. This article compares the Balkan countries to a group of advanced transition economies. Single-country and panel regressions indicate that demand-side factors do not play a constraining role on growth in the West Balkan countries, but they do in the advanced transition economies.