The course will use examples from the Household, Income and Labour Dynamics in Australia (HILDA) Survey and will include a hands-on lab session using Stata. The topics covered include: - Basic introduction to panel data. - Introduction to statistical modelling (within and between group analysis,...

The conference covers all aspects of data mining, including algorithms, software and systems, and applications. ICDM draws researchers and application developers from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases and data...

Topics: - Economical Applications of Machine Learning - Economical Innovations and Data Mining - Experimental Economics and Complex Networks - Econometrics VS Machine Learning & Data Mining - Human Behavior Modeling and Game Theory - Innovative applications of Concept Lattices in Economics &...

The aim of the conference is to provide a forum for the discussion of research based on the Household, Income and Labour Dynamics in Australia Survey. Attendance at the conference is open to all, but should be of special interest to both users of the HILDA Survey data and persons with an...

A hands-on introductory HILDA Survey training course will be held on 30 September – 2 October 2013 at the University of Melbourne, just before the HILDA Survey Research Conference on 3-4 October 2013. The training will then cover the following topics: - Accessing the data - Finding the right...

The training will then cover the following topics: - Accessing the data - Finding the right data - Visualising the data - Merging household and individual data - Dealing with missing values - Using imputed values - Creating analysis variables from HILDA data - Using weights - Generating...

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The Department of Policy Analysis and Management at Cornell University will hold a workshop to introduce researchers to the German Socio-Economic Panel (GSOEP) and the Cross-National Equivalent Files (CNEF). Twenty waves of GSOEP data are available to researchers interested in using this rich...