Productivity, Place, and Plants
Benjamin Schoefer, Oren Ziv
Review of Economics and Statistics,
im Erscheinen
Abstract
Why do cities differ so much in productivity? A long literature has sought out systematic sources, such as inherent productivity advantages, market access, agglomeration forces, or sorting. We document that up to three quarters of the measured regional productivity dispersion is spurious, reflecting the “luck of the draw” of finite counts of idiosyncratically heterogeneous plants that happen to operate in a given location. The patterns are even more pronounced for new plants, hold for alternative productivity measures, and broadly extend to European countries. This large role for individual plants suggests a smaller role for places in driving regional differences.
Artikel Lesen
Wirtschaft im Wandel
Wirtschaft im Wandel Die Zeitschrift „Wirtschaft im Wandel“ will eine breite...
Zur Seite
Retreat-Auftakt-Meeting
IWH Retreat: Auftakt-Meeting von Oliver Holtemöller, 19.04.2022 Liebe Kolleginnen und Kollegen, am 08. und 09. Juni 2022 findet unsere Klausurtagung am Schwielowsee...
Zur Seite
IWH-FDI-Mikrodatenbank
IWH-FDI-Mikrodatenbank Die IWH-FDI-Mikrodatenbank (FDI = Foreign Direct Investment)...
Zur Seite
Gemeinschaftsdiagnose
Gemeinschaftsdiagnose Die Gemeinschaftsdiagnose ist ein Instrument zur Beurteilung...
Zur Seite
Speed Projects
Speed Projects Hier finden Sie die IWH EXplore Speed Projects chronologisch...
Zur Seite
Conditional Macroeconomic Forecasts: Disagreement, Revisions and Forecast Errors
Alexander Glas, Katja Heinisch
IWH Discussion Papers,
Nr. 7,
2021
Abstract
Using data from the European Central Bank‘s Survey of Professional Forecasters, we analyse the role of ex-ante conditioning variables for macroeconomic forecasts. In particular, we test to which extent the heterogeneity, updating and ex-post performance of predictions for inflation, real GDP growth and the unemployment rate are related to assumptions about future oil prices, exchange rates, interest rates and wage growth. Our findings indicate that inflation forecasts are closely associated with oil price expectations, whereas expected interest rates are used primarily to predict output growth and unemployment. Expectations about exchange rates and wage growth also matter for macroeconomic forecasts, albeit less so than oil prices and interest rates. We show that survey participants can considerably improve forecast accuracy for macroeconomic outcomes by reducing prediction errors for external conditions. Our results contribute to a better understanding of the expectation formation process of experts.
Artikel Lesen