In recent years, the impacts of climate change become increasingly evident, both in magnitude and frequency. The design and implementation of adequate climate adaptation policies play an important role in the macroeconomic policy discourse to assess the impact of climate change on regional and sectoral economic growth. We propose different modelling approaches to quantify the socio-economic impacts of climate change and design specific adaptations in three emerging market economies (Kazakhstan, Georgia and Vietnam) which belong to the areas that are heavily exposed to climate change. A Dynamic General Equilibrium (DGE) model has been used for Vietnam and economy-energy-emission (E3) models for the other two countries. Our modelling results show how different climate hazards impact the economy up to the year 2050. Adaptation measures in particular in the agricultural sector have positive implications for the gross domestic product (GDP). However, some adaptation measures can even increase greenhouse gas emissions. In addition, the focus on GDP as the main indicator to evaluate policy measures can produce welfare-reducing policy decisions.

Russian monetary policy has been challenged by large and continuous private capital outflows and a sharp drop in oil prices during 2014. Both contributed to significant depreciation pressures on the ruble and led the central bank to give up its exchange rate management strategy. Against this background, this work estimates a small open economy model for Russia, featuring an oil price sector and extended by a specification of the foreign exchange market to correctly account for systematic central bank interventions. We find that shocks to the oil price and private capital flows substantially affect domestic variables such as inflation and output. Simulations for the estimated actual strategy and alternative regimes suggest that the vulnerability of the Russian economy to external shocks can substantially be lowered by adopting some form of inflation targeting. Strategies to target the nominal exchange rate or the ruble price of oil prove to be inferior.

Im dritten Quartal 2022 konnte die Wirtschaftsleistung in Deutschland mit 0,3% nochmals zulegen. Vor allem die privaten Haushalte waren in Sommerlaune und konsumierten großzügig; die Erholung von der Pandemie dominierte bislang die negativen Folgen der hohen Energiepreise. Jedoch dürften ab Herbst die weiter ansteigenden Verbraucherpreise und die Energieprobleme die Kauflaune der privaten Haushalte deutlich dämpfen. Zudem werden energieintensive Unternehmen des Verarbeitenden Gewerbes wegen der gestiegenen Gas- und Strompreise ihre Produktion wohl weiter einschränken. Die Lieferkettenprobleme sind zwar etwas zurückgegangen, sie sind aber nicht zuletzt aufgrund der restriktiven COVID-Maßnahmen in China nach wie vor vorhanden. Ein Ende des Krieges in der Ukraine ist nicht in Sicht. Auch deshalb gehen die Auftragseingänge weiter deutlich zurück. Dies alles dürfte dazu führen, dass das Bruttoinlandsprodukt im vierten Quartal 2022 und im ersten Quartal 2023 schrumpft und Deutschland damit in eine Rezession rutscht. Insgesamt wird die Wirtschaftsleistung laut IWH-Flash-Indikator im vierten Quartal 2022 um 0,6% und zu Beginn des nächsten Jahres um 0,3% zurückgehen (vgl. Abbildung 1).

Asset prices are a valuable source of information about financial market participants' expectations about key macroeconomic variables. However, the presence of time-varying risk premia requires an adjustment of market prices to obtain the market's rational assessment of future price and policy developments. This paper reviews empirical approaches for recovering market-based expectations. It starts by laying out the two canonical modeling frameworks that form the backbone for estimating risk premia and highlights the proliferation of risk pricing factors that result in a wide range of different asset-price-based expectation measures. It then describes a key methodological innovation to evaluate the empirical plausibility of risk premium estimates and to identify the most accurate market-based expectation measure. The usefulness of this general approach is illustrated for price expectations in the global oil market. Then, the paper provides an overview of the body of empirical evidence for monetary policy and inflation expectations with a special emphasis on market-specific characteristics that complicate the quest for the best possible market-based expectation measure. Finally, it discusses a number of economic applications where market expectations play a key role for evaluating economic models, guiding policy analysis, and deriving shock measures.

Die Weltwirtschaft ist auch im Sommerhalbjahr verschiedenen schweren Belastungen ausgesetzt, die die Preise stark steigen lassen. Produktionsstilllegungen im Zuge der chinesischen Null-Covid-Strategie und der Angriff gegen die Ukraine heizen die Inflation weltweit an. Auch in Deutschland wird die konjunkturelle Entwicklung durch die mit dem Krieg verbundenen Preissteigerungen sowie unterbrochene Lieferketten schwer belastet. Die konjunkturellen Aussichten für den Sommer sind trüb. Das deutsche Bruttoinlandsprodukt wird im Jahr 2022 um 1,5% zunehmen. In Ostdeutschland liegt der Zuwachs bei 1%.

We propose a macroeconomic model with a nonlinear Phillips curve that has a flat slope when inflationary pressures are subdued and steepens when inflationary pressures are elevated. The nonlinear Phillips curve in our model arises due to a quasi-kinked demand schedule for goods produced by firms. Our model can jointly account for the modest decline in inflation during the Great Recession and the surge in inflation during the Post-Covid period. Because our model implies a stronger transmission of shocks when inflation is high, it generates conditional heteroscedasticity in inflation and inflation risk. Hence, our model can generate more sizeable inflation surges due to cost-push and demand shocks than a standard linearized model. Finally, our model implies that the central bank faces a more severe trade-off between inflation and output stabilization when inflation is high.

We develop a SIR-based macroeconomic model to study the impact of testing/ quarantining and social distancing/mask use on health and economic outcomes. These policies can dramatically reduce the costs of an epidemic. Absent testing/quarantining, the main effect of social distancing and mask use on health outcomes is to delay, rather than reduce, epidemic-related deaths. Social distancing and mask use reduce the severity of the epidemic-related recession but prolong its duration. There is an important synergy between social distancing and mask use and testing/quarantining. Social distancing and mask use buy time for testing and quarantining to come to the rescue. The benefits of testing/quarantining are even larger when people can get reinfected, either because the virus mutates or immunity is temporary.

Der Angriff Russlands auf die Ukraine hat die wirtschaftlichen Rahmenbedingungen in Europa drastisch verschlechtert. Rohstoff- und Energiepreise sind stark gestiegen, und die Sanktionen bringen den gesamten Russlandhandel nahezu zum Erliegen. Auch die deutsche Wirtschaft trifft es vor allem über einen Energiepreisschock, aber auch über unterbrochene Handelsströme und eine allgemeine Verunsicherung. Gleichwohl erhält die Konjunktur von der Aufhebung vieler Pandemie-Restriktionen einen kräftigen Schub. Das deutsche BIP wird 2022 um 3,1% zunehmen. Die ostdeutsche Wirtschaft wird vom Krieg kaum schwerer getroffen als die gesamtdeutsche Wirtschaft.