Our answer: Consequences are severe but seem manageable. How severe? That depends on how fast and determined policy reacts to reduce and substitute energy. How do we arrive at this conclusion? A short thread 2/n
We combine macro data, household micro data, & state-of-the-art theory to derive at 4 key findings (1) Stop of Russian energy imports would lead to a GDP decline bw 0.2% and 3%. Range depends on possibilities to adjust gas usage (baseline 0.3%, very conservative estimate 3%) 3/
(2) Taking into account adjustments in energy usage, the shortfall for gas is most severe drop among the different energy sources with 30% of consumption or 8% of total German energy consumption over the next 12 months 4/n
(3) Along the income distribution, poor households will be affected more by rising gas prices but differences are small so that fiscal policy could compensate them by targeted transfers 5/n
(4) most importantly economic policy must act immediately to strategically increasing incentives to substitute and save fossil energies. Seasonality of gas demand offers a window for policy actions. 6/n
In the short-run, policy should incentivize improvements for energy efficiency and substitution towards renewable energy. Incentives arise naturally if it is clear that high energy prices are here to stay. 7/n
Looking ahead, such “forward guidance” in energy markets will also help to reduce dependency on Russian energy sources. 8/n
The consequences of the #covidcrisis are the macroeconomic topic of the day. Many observers & researchers compare the situation to the global financial crisis of 2008. A key difference is the large rise of household debt & asset prices that pre-dated the financial crisis. 1/17
In a new paper w/ Alina Bartscher, @MSchularick & Ulrike Steins, we explore the drivers behind the built-up of household debt in the U.S. before the financial crisis. We exploit newly available long-run microdata on the financial situation of households from 1949 to 2016. 2/17
@christianbaye13 & me have been thinking about the big differences in mortality rates so far during the corona outbreak in Europe. The differences in case-fatality rates are humongous. Italy has one of 6% while countries like Norway, Denmark & Germany have rates still close to 0.
Of course the rates will likely converge somewhat over time as the virus spreads and there are many effects in this. Division bias may play a role, as does the time since the outbreak.
However, we thought maybe there is something to learn in this in order to help to organize our lives in a way to minimize the risks for us and we pose to others. We picked up a striking data difference that @AndreasShrugged pointed out.