Advances in Using Vector Autoregressions to Estimate Structural Magnitudes
Christiane Baumeister, James D. Hamilton
Econometric Theory,
im Erscheinen
Abstract
This paper surveys recent advances in drawing structural conclusions from vector autoregressions (VARs), providing a unified perspective on the role of prior knowledge. We describe the traditional approach to identification as a claim to have exact prior information about the structural model and propose Bayesian inference as a way to acknowledge that prior information is imperfect or subject to error. We raise concerns from both a frequentist and a Bayesian perspective about the way that results are typically reported for VARs that are set-identified using sign and other restrictions. We call attention to a common but previously unrecognized error in estimating structural elasticities and show how to correctly estimate elasticities even in the case when one only knows the effects of a single structural shock.
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What Explains International Interest Rate Co-Movement?
Annika Camehl, Gregor von Schweinitz
IWH Discussion Papers,
Nr. 3,
2023
Abstract
We show that global supply and demand shocks are important drivers of interest rate co-movement across seven advanced economies. Beyond that, local structural shocks transmit internationally via aggregate demand channels, and central banks react predominantly to domestic macroeconomic developments: unexpected monetary policy tightening decreases most foreign interest rates, while expansionary local supply and demand shocks increase them. To disentangle determinants of international interest rate co-movement, we use a Bayesian structural panel vector autoregressive model accounting for latent global supply and demand shocks. We identify country-specific structural shocks via informative prior distributions based on a standard theoretical multi-country open economy model.
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Wirtschaftswachstum, Staatsfinanzen und Treibhausgas-Emissionen in der mittleren Frist
Katja Heinisch, Oliver Holtemöller, Axel Lindner, Alessandro Sardone, Götz Zeddies
Konjunktur aktuell,
Nr. 4,
2022
Abstract
Die mittelfristige Projektion der gesamtwirtschaftlichen Lage in Deutschland beinhaltet, dass das Wirtschaftswachstum mit 1% pro Jahr in den kommenden sechs Jahren in etwa genauso hoch ausfällt wie in den vergangenen sechs Jahren. Der Staatshaushalt bleibt im Defizit, aber der Schuldenstand geht relativ zum Bruttoinlandsprodukt ab dem Jahr 2024 wieder zurück. Bei diesem Tempo der wirtschaftlichen Expansion werden die Emissionen mittelfristig zwar weiter zurückgehen, aber deutlich langsamer als nötig, um die nationalen Klimaschutzziele zu erreichen.
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Energy Markets and Global Economic Conditions
Christiane Baumeister, Dimitris Korobilis, Thomas K. Lee
Review of Economics and Statistics,
Nr. 4,
2022
Abstract
We evaluate alternative indicators of global economic activity and other market funda-mentals in terms of their usefulness for forecasting real oil prices and global petroleum consumption. World industrial production is one of the most useful indicators. However, by combining measures from several different sources we can do even better. Our analysis results in a new index of global economic conditions and measures for assessing future energy demand and oil price pressures. We illustrate their usefulness for quantifying the main factors behind the severe contraction of the global economy and the price risks faced by shale oil producers in early 2020.
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Spillover Effects in Empirical Corporate Finance
Tobias Berg, Markus Reisinger, Daniel Streitz
Journal of Financial Economics,
Nr. 3,
2021
Abstract
Despite their importance, the discussion of spillover effects in empirical research often misses the rigor dedicated to endogeneity concerns. We analyze a broad set of workhorse models of firm interactions and show that spillovers naturally arise in many corporate finance settings. This has important implications for the estimation of treatment effects: i) even with random treatment, spillovers lead to a complicated bias, ii) fixed effects can exacerbate the spillover-induced bias. We propose simple diagnostic tools for empirical researchers and illustrate our guidance in an application.
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