The Evolution of Monetary Policy in Latin American Economies: Responsiveness to Inflation under Different Degrees of Credibility
Stefan Gießler
IWH Discussion Papers,
No. 9,
2020
Abstract
This paper investigates the forward-lookingness of monetary policy related to stabilising inflation over time under different degrees of central bank credibility in the four largest Latin American economies, which experienced a different transition path to the full-fledged inflation targeting regime. The analysis is based on an interest rate-based hybrid monetary policy rule with time-varying coefficients, which captures possible shifts from a backward-looking to a forward-looking monetary policy rule related to inflation stabilisation. The main results show that monetary policy is fully forward-looking and exclusively reacts to expected inflation under nearly perfect central bank credibility. Under a partially credible central bank, monetary policy is both backward-looking and forward-looking in terms of stabilising inflation. Moreover, monetary authorities put increasingly more priority on stabilising expected inflation relative to actual inflation if central bank credibility tends to improve over time.
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Asymmetric Investment Responses to Firm-specific Forecast Errors
Julian Berner, Manuel Buchholz, Lena Tonzer
Abstract
This paper analyses how firm-specific forecast errors derived from survey data of German manufacturing firms over 2007–2011 affect firms’ investment propensity. Understanding how forecast errors affect firm investment behaviour is key to mitigate economic downturns during and after crisis periods in which forecast errors tend to increase. Our findings reveal a negative impact of absolute forecast errors on investment. Strikingly, asymmetries arise depending on the size and direction of the forecast error. The investment propensity declines if the realised situation is worse than expected. However, firms do not adjust investment if the realised situation is better than expected suggesting that the uncertainty component of the forecast error counteracts positive effects of unexpectedly favorable business conditions. Given that the fraction of firms making positive forecast errors is higher after the peak of the recent financial crisis, this mechanism can be one explanation behind staggered economic growth and slow recovery following crises.
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Economy in Shock — Financial Policy is Holding Up
Oliver Holtemöller, Stefan Kooths, Claus Michelsen, Torsten Schmidt, Timo Wollmershäuser
Wirtschaftsdienst,
No. 4,
2020
Abstract
Nach Ansicht der führenden deutschen Wirtschaftsforschungsinstitute bricht die Konjunktur in Deutschland als Folge der Corona-Pandemie drastisch ein. Um die Infektionswelle abzubremsen, hat der Staat die wirtschaftliche Aktivität hierzulande stark eingeschränkt. Deshalb dürfte das Bruttoinlandsprodukt 2020 um 4,2 % schrumpfen. Die Rezession hinterlässt deutliche Spuren auf dem Arbeitsmarkt und im Staatshaushalt. In der Spitze wird die Arbeitslosenquote auf 5,9 % und die Zahl der Kurzarbeiter auf 2,4 Mio. hochschnellen. Die finanzpolitischen Stabilisierungsmaßnahmen führen 2020 zu einem Rekorddefizit im gesamtstaatlichen Haushalt von 159 Mrd. Euro. Nach dem Shutdown wird sich die Konjunktur schrittweise erholen. Entsprechend fällt der Anstieg des Bruttoinlandsprodukts 2021 mit 5,8 % kräftig aus. Mit dieser Prognose sind erhebliche Abwärtsrisiken verbunden, etwa weil sich die Pandemie deutlich langsamer abschwächen lässt, oder weil das Wiederhochfahren der wirtschaftlichen Aktivität schlechter gelingt als angenommen bzw. eine erneute Ansteckungswelle auslöst.
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The Effects of Graduating from High School in a Recession: College Investments, Skill Formation, and Labor-Market Outcomes
Franziska Hampf, Marc Piopiunik, Simon Wiederhold
CESifo Working Paper,
No. 8252,
2020
Abstract
We investigate the short- and long-term effects of economic conditions at high-school graduation as a source of exogenous variation in the labor-market opportunities of potential college entrants. Exploiting business cycle fluctuations across birth cohorts for 28 developed countries, we find that bad economic conditions at high-school graduation increase college enrollment and graduation. They also affect outcomes in later life, increasing cognitive skills and improving labor-market success. Outcomes are affected only by the economic conditions at high-school graduation, but not by those during earlier or later years. Recessions at high-school graduation narrow the gender gaps in numeracy skills and labor-market success.
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Jobs and Matches: Quits, Replacement Hiring, and Vacancy Chains
Yusuf Mercan, Benjamin Schoefer
American Economic Review: Insights,
No. 1,
2020
Abstract
In the canonical DMP model of job openings, all job openings stem from new job creation. Jobs denote worker-firm matches, which are destroyed following worker quits. Yet, employers classify 56 percent of vacancies as quit-driven replacement hiring into old jobs, which evidently outlived their previous matches. Accordingly, aggregate and firm-level hiring tightly track quits. We augment the DMP model with longer-lived jobs arising from sunk job creation costs and replacement hiring. Quits trigger vacancies, which beget vacancies through replacement hiring. This vacancy chain can raise total job openings and net employment. The procyclicality of quits can thereby amplify business cycles.
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Financial Linkages and Sectoral Business Cycle Synchronisation: Evidence from Europe
Hannes Böhm, Julia Schaumburg, Lena Tonzer
Abstract
We analyse whether financial integration between countries leads to converging or diverging business cycles using a dynamic spatial model. Our model allows for contemporaneous spillovers of shocks to GDP growth between countries that are financially integrated and delivers a scalar measure of the spillover intensity at each point in time. For a financial network of ten European countries from 1996-2017, we find that the spillover effects are positive on average but much larger during periods of financial stress, pointing towards stronger business cycle synchronisation. Dismantling GDP growth into value added growth of ten major industries, we observe that some sectors are strongly affected by positive spillovers (wholesale & retail trade, industrial production), others only to a weaker degree (agriculture, construction, finance), while more nationally influenced industries show no evidence for significant spillover effects (public administration, arts & entertainment, real estate).
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Industry in Recession — Growth Forces Dwindle
Claus Michelsen, Oliver Holtemöller, Torsten Schmidt, Stefan Kooths, Timo Wollmershäuser
Wirtschaftsdienst,
No. 10,
2019
Abstract
Die führenden deutschen Wirtschaftsforschungsinstitute haben ihre Konjunkturprognose für Deutschland in ihrer Gemeinschaftsdiagnose vom Herbst 2019 deutlich nach unten korrigiert. Gründe für die schwache Entwicklung sind die nachlassende weltweite Nachfrage nach Investitionsgütern, auf deren Export die deutsche Wirtschaft spezialisiert ist, politische Unsicherheiten und strukturelle Veränderungen in der Automobilindustrie. Die Finanzpolitik stützt hingegen die gesamtwirtschaftliche Expansion. Die zukünftige Entwicklung ist stark davon abhängig, ob die Handelskonflikte gelöst werden können und wie der Brexit ausgestaltet wird.
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How Forecast Accuracy Depends on Conditioning Assumptions
Carola Engelke, Katja Heinisch, Christoph Schult
IWH Discussion Papers,
No. 18,
2019
Abstract
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.
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HIP, RIP, and the Robustness of Empirical Earnings Processes
Florian Hoffmann
Quantitative Economics,
No. 3,
2019
Abstract
The dispersion of individual returns to experience, often referred to as heterogeneity of income profiles (HIP), is a key parameter in empirical human capital models, in studies of life‐cycle income inequality, and in heterogeneous agent models of life‐cycle labor market dynamics. It is commonly estimated from age variation in the covariance structure of earnings. In this study, I show that this approach is invalid and tends to deliver estimates of HIP that are biased upward. The reason is that any age variation in covariance structures can be rationalized by age‐dependent heteroscedasticity in the distribution of earnings shocks. Once one models such age effects flexibly the remaining identifying variation for HIP is the shape of the tails of lag profiles. Credible estimation of HIP thus imposes strong demands on the data since one requires many earnings observations per individual and a low rate of sample attrition. To investigate empirically whether the bias in estimates of HIP from omitting age effects is quantitatively important, I thus rely on administrative data from Germany on quarterly earnings that follow workers from labor market entry until 27 years into their career. To strengthen external validity, I focus my analysis on an education group that displays a covariance structure with qualitatively similar properties like its North American counterpart. I find that a HIP model with age effects in transitory, persistent and permanent shocks fits the covariance structure almost perfectly and delivers small and insignificant estimates for the HIP component. In sharp contrast, once I estimate a standard HIP model without age‐effects the estimated slope heterogeneity increases by a factor of thirteen and becomes highly significant, with a dramatic deterioration of model fit. I reach the same conclusions from estimating the two models on a different covariance structure and from conducting a Monte Carlo analysis, suggesting that my quantitative results are not an artifact of one particular sample.
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Structural Interpretation of Vector Autoregressions with Incomplete Identification: Revisiting the Role of Oil Supply and Demand Shocks
Christiane Baumeister, James D. Hamilton
American Economic Review,
No. 5,
2019
Abstract
Traditional approaches to structural vector autoregressions (VARs) can be viewed as special cases of Bayesian inference arising from very strong prior beliefs. These methods can be generalized with a less restrictive formulation that incorporates uncertainty about the identifying assumptions themselves. We use this approach to revisit the importance of shocks to oil supply and demand. Supply disruptions turn out to be a bigger factor in historical oil price movements and inventory accumulation a smaller factor than implied by earlier estimates. Supply shocks lead to a reduction in global economic activity after a significant lag, whereas shocks to oil demand do not.
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