The topic of the School "Econometrics of Duration Data with Macroeconomic Applications". The broader objective of this series of events is to provide advanced training for young researchers from all over Europe and beyond on important disciplines of economics and econometrics. The Summer School...

The 11th World Conference of the Spatial Econometrics Association (SEA) has the objective to bring together econometricians, statisticians, economists, regional scientists and geographers to present and discuss their recent achievements in spatial econometric theories and applications, in...

The Methods School offers a wide variety of basic to advanced courses in quantitative, qualitative, and formal methods. This year's Methods School offers 15 quantitative, qualitative, and formal methods courses, such as Bayesian Analysis, Case Study Analysis, Data Visualization, Experimental...

The topic of the 10th Advanced Summer School is on "Endogeneity in Econometric Models and Moment-Based Estimation".

The main aims of IAAE are to advance the education of the public in the subject of econometrics and its applications to a variety of fields in economics, in particular, but not exclusively, by advancing and supporting research in that field, and disseminating the results of such useful research...

The program of the conference will cover all areas dealing with the computational aspects (broadly defined) of economics, finance, and decision making.

The Methods School offers a wide variety of basic and advanced courses in quantitative, qualitative, and formal methods. All of these courses focus on both the theory and practice of social science research and provide high-quality training in diverse, state-of-the-art methods and techniques by...

Submissions will be considered in a broad range of themes, to cover all aspects of econometrics, such as microeconometrics, time series econometrics, financial econometrics, nonparametric and semiparametric econometrics, and panel data analysis. Applied econometrics works are also welcome.