This summer school will cover fundamental topics in econometrics and data science. The content ranges from predictive and causal methods for time-series analysis, to state-space methods and filtering techniques for high-dimensional datasets. Participants will learn how to design, test and...

Statistical inference on the parameters of interest in a vast number of econometric models is plagued by its dependence on the settings of secondary nuisance parameters. Examples of such models are wide spread and include: - Linear instrumental variables regression - Inference in linear...

We want to invite researchers working in such diverse fields as network applications, telecommunications, call-centers and pure queueing theory to participate. In all these research fields models show up in which the customers play a more active role than in the traditional queueing models such...

The goal of the conference is to promote the exchange of ideas among economists conducting quantitative analysis for policy and decision-making in the public and private sector. The conference will cover all areas of applied modeling in economics.

EC-squared is a series of annual international conferences on research in quantitative economics and econometrics, launched in 1990. The acronym (EC)2 stands for European Conferences of the Econom[etr]ics Community. Its main aim is to maintain and extend an adequate forum for both senior and...

The conference will present an overview of new theoretical and empirical papers on all aspects of (extreme) dependence. Topics relevant to the conference include new advances in analyzing and modelling (time-variation in) extreme dependence, as well as the consequences of extreme dependence for...

Topics: Microeconomics; Macroeconomics; Econometrics.

The conference provides a forum for econometricians from the Netherlands and beyond to exchange research ideas and developments on any aspect of econometrics.

This course focuses on the following topics: discrete and continuous probability distributions joint, marginal and conditional distributions (conditional) expectation, variance, covariance, correlation, basic principles of Statistics, estimation of population parameters, properties of...