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The author Dirk Niepelt
Dirk Niepelt
Dirk Niepelt is Director of the Study Center Gerzensee and Professor at the University of Bern. A research fellow at the Centre for Economic Policy Research (CEPR, London), CESifo (Munich) research network member and member of the macroeconomic committee of the Verein für Socialpolitik, he served on the board of the Swiss Society of Economics and Statistics and was an invited professor at the University of Lausanne as well as a visiting professor at the Institute for International Economic Studies (IIES) at Stockholm University.

Dirk Niepelt

Whatever it Takes, Again?

Promising to do “whatever it takes” in order to avert a bad equilibrium is very different from printing money when the problem is a lack of resources, or their distribution. See Gilles Saint-Paul’s “Whatever it Takes.”

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“On the Optimal ‘Lockdown’ during an Epidemic,” CEPR, 2020

CEPR Discussion Paper 14612, April 2020, with Martin Gonzalez-Eiras. PDF (local copy). We embed a lockdown choice in a simplified epidemiological model and derive formulas for the optimal lockdown intensity and duration. The optimal policy reflects the rate of time preference, epidemiological factors, the hazard rate of vaccine discovery, learning effects in the health care sector, and the severity of output losses due to a lockdown. In our baseline specification a Covid-19 shock as...

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“On the Optimal ‘Lockdown’ during an Epidemic,” CEPR, 2020

CEPR Discussion Paper 14612, April 2020, with Martin Gonzalez-Eiras. PDF (local copy). We embed a lockdown choice in a simplified epidemiological model and derive formulas for the optimal lockdown intensity and duration. The optimal policy reflects the rate of time preference, epidemiological factors, the hazard rate of vaccine discovery, learning effects in the health care sector, and the severity of output losses due to a lockdown. In our baseline specification a Covid-19 shock as...

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Medical Specialist Condemns Swiss Covid-19 Preparations and Response

In Die Mittelländische Zeitung, a Swiss doctor criticizes Switzerland’s preparations and response to Covid-19. He points to Lack of preparation by political decision makers Misleading communication by federal health officials Their apparent lack of awareness of academic work on the topic Arrogance in Switzerland and the West vis-à-vis China and other far eastern countries Sensationalist scare mongering in the media Calls for systematic infection of groups that are less at risk Informative...

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Deaths Per Capita versus Confirmed Cases Per Capita

Data from April 6, 2020. Iceland and Luxembourg have many more confirmed cases per capita than other countries (either because they have more cases or better information). Mortality per confirmed case is highest in Italy, Spain, France, Belgium, Netherlands, UK. Source: Author’s calculations based on Johns Hopkins data and World Bank data.

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“Wirtschaftspolitik angesichts von Covid-19: Lastenteilung, aber keine Preismanipulationen (Economic Policy Responses to Covid-19: Burden Sharing, But no Price Distortions),” ÖS, 2020

Ökonomenstimme, 3 April 2020. HTML. Shorter version published in NZZ. The aggregate Covid-19 shock calls for transfers of the type a pandemic insurance would have brought about. But we must not distort relative prices. They have to reflect scarcity, to provide incentives to overcome it. (This applies within countries but also across.)

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Switzerland Peps Up SMEs

How Switzerland peps up SMEs: Banks are encouraged to extend credit (at 0%). The treasury guarantees the loans. The SNB refinances banks and accepts the guaranteed loans as collateral. Fast and efficient. Eventually, some of these loans will turn into grants of course. But that’s ok; the first-best response to a shock with asymmetric effects does involve transfers if markets are incomplete.

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Data and Research on the Coronavirus

The first of a long sequence of nice papers on the virus by economists are out: Martin Eichenbaum, Sergio Rebelo, and Mathias Trabandt (2020), The Macroeconomics of Epidemics. NBER wp 26882. (My comments on Twitter.) James Stock (2020), Coronavirus Data Gaps and the Policy Response to the Novel Corona Virus. Mimeo. Conclusion: There is an urgent need to reliably estimate the asymptomatic rate—the share among the infected who do not show strong symptoms. Data: Unconditional mortality rates...

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