Carbon pricing, border adjustment and renewable energy investment: a network approach

02/07/2025 European Central Bank Central banks

An increase of e100 per tonne in the EU carbon price reduces the carbon footprint but lowers GDP due to higher energy costs and carbon leakage. Using a dynamic multi-sector, multi-country model augmented with an energy block that includes endogenous renewable energy investment, we analyze the macroeconomic and emissions effects of a carbon price. Investment in renewable energy mitigates electricity price increases in the medium term, leading to a smaller GDP loss (up to -0.4%) and a larger emissions reduction (24%) in the EU.

FEDS Paper: Shedding Light on Survey Accuracy—A Comparison between SHED and Census Bureau Survey Results

02/06/2025 Federal Reserve Central banks

Kabir Dasgupta, Fatimah Shaalan, and Mike ZabekThe annual Survey of Household Economics and Decisionmaking (SHED) receives substantial research attention for topics related to household finances and economic well-being. To assess the reliability of data from the SHED, we compare aggregate statistics from the SHED with prominent, nationally representative surveys that use different survey designs, sample methodologies, and interview modes.

Banking networks and economic growth: from idiosyncratic shocks to aggregate fluctuations

02/06/2025 European Central Bank Central banks

This paper investigates the role of banking networks in the transmission of shocks across borders. Combining banking deregulation in the US with state-level idiosyncratic demand shocks, we show that geographically diversified banks reallocate funds from economies experiencing negative shocks to unaffected regions. Our findings indicate that in the presence of idiosyncratic shocks, financial integration reduces business cycle comovement and synchronizes consumption patterns.

Non-homothetic housing demand and geographic worker sorting

02/06/2025 European Central Bank Central banks

Housing expenditure shares decline with income. A household’s income determines its sensitivity to housing costs and drives its location decision. Has spatial skill sorting increased because low income individuals are avoiding increasingly expensive regions? I augment a standard quantitative spatial model with flexible non-homothetic preferences to estimate the effect of the national increase in the relative supply of high skilled workers that has put upward pressure on housing costs in skill-intensive cities.

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