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Wouter Van der Veken

22 September 2022
WORKING PAPER SERIES - No. 2727
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Abstract
What are the economic implications of financial and uncertainty shocks? We show that financial shocks cause a decline in output and goods prices, while uncertainty shocks cause a decline in output and an increase in goods prices. In response to un-certainty shocks, firms increase their markups, in line with the theory of self-insurance against being stuck with too low a price. This explains why goods prices may increase at the onset of a recession and are not accompanied by pronounced deflationary pressures. The two shocks are identified jointly with an approach that is less restrictive than Antolín-Díaz and Rubio-Ramírez’s method.
JEL Code
C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
11 September 2020
WORKING PAPER SERIES - No. 2466
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Abstract
We characterise the distribution of expected GDP growth during the Great Influenza Pandemic (known also as Spanish Flu) using a non-linear method in a country panel setting. We show that there are non-negligible risks of large GDP losses with the 5% left tail of the distribution suggesting a drop in the typical country's real per capita GDP equal to 29.1% in 1918, 10.9% in 1919 and 3.6% in 1920. Moreover, the fall in per capita GDP after the Spanish FLu was on average particularly large in low-income countries. Particularly, the size of the GDP drop in the lower tail of the distributions is high for higher income countries and immense for lower income countries. As for the United States, the estimated size of the recession in the lower tail of the distribution following the Spanish Flu is not negligible.
JEL Code
E3 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles
I0 : Health, Education, and Welfare→General
2 July 2020
WORKING PAPER SERIES - No. 2436
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Abstract
We show that financial variables contribute to the forecast of GDP growth during the Great Recession, providing additional insights on both first and higher moments of the GDP growth distribution. If a recession is due to an unforeseen shock (such as the Covid-19 recession), financial variables serve policymakers in providing timely warnings about the severity of the crisis and the macroeconomic risk involved, because downside risks increase as financial stress and corporate spreads become tighter. We use quantile regression and the skewed t-distribution and evaluate the forecasting properties of models using out-of-sample metrics with real-time vintages.
JEL Code
C53 : Mathematical and Quantitative Methods→Econometric Modeling→Forecasting and Prediction Methods, Simulation Methods
E23 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Production
E27 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Forecasting and Simulation: Models and Applications
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy