What has your Big Data-based research brought to light? What new methods for exploiting this new resource for research have you used or developed? Where do you see new fields of research being made possible by adding Big Data to the toolbox? CESifo and the ifo Institute are inviting submissions...

Das Ziel des Workshops besteht darin, Forschenden der Ökonomie die Möglichkeit zu geben, sich zu neuen Datentypen und Entwicklungen der Datennutzung auszutauschen. Das umfasst folgende Aspekte: - Big-Data-Analysen: Nutzung unstrukturierter Daten – aus: Internet (Stichwort: Webscraping),...

Data has always been a key tool in economics research. But Big Data goes beyond being a mere tool: it is opening new fields of research and also helping to gain fresh insights that were previously out of reach. This workshop will review how Big Data is being used by young scholars, what new...

We welcome theoretical and empirical contributions in the form of high-quality research papers related to stress testing. Topics of interest include, but are not limited to: - The role of stress testing in microprudential and macroprudential supervision; - The design of macroeconomic scenarios...

Program: Session 1: Structural Modelling of Climate Change; Session 2: Climate Change and Monetary Policy; Session 3: Climate Stress Testing.

Monetary policy decisions affect economic developments with, in many cases, a considerable lag. Therefore, central banks need to assess future economic developments before taking action. This task requires the use of prediction tools such as time series models or forecast surveys among economic...

The workshop covers presentations of both methodological and applied contributions on the frontier of research in quantitative macroeconomics, with a focus on empirical research.

DLGS would like to invite doctoral candidates working on the topics related to space and transformation to participate in the Autumn School on September 22nd, 2021. This year it is organised as a preceding event to the IOER Annual Conference 2021. The purpose of the Autumn School is to provide a...

Due to restrictions related to COVID-19, the workshop has been cancelled. Topics: - Macroeconomic effects of uncertainty; - Forecast errors and overshooting of expectations; - Spillover effects in expectations and uncertainty; - Uncertainty and disagreement modeling; - Monetary and fiscal policy...

The GESIS Spring Seminar (formerly ZA Spring Seminar) offers three consecutive one-week courses in advanced methods of quantitative data analysis for Social Scientists. Week 1: Fundamentals of Data Analysis with Python; Week 2: A Practical Introduction to Machine Learning in Python; Week 3:...