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Recent years have seen an increasing use in economics and finance of models employing large datasets, involving the estimation of large number of parameters. The severe computational problems that these models involve have partly motivated the huge body of contributions on stationary and non...
Persistent link: https://www.econbiz.de/10005876262
Contributions are welcomed on the following themes: • Health and welfare at the local and regional scale • Happiness and wellbeing: definitions and indicators • Poverty, exclusion and wellbeing • Social impacts of housing • The personal, social and financial costs of housing •...
Persistent link: https://www.econbiz.de/10005876582
This three-day intensive course presents methods for performance measurement for multi-input multioutput firms. Among other things, participants will learn how Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) can be used to decompose indexes of profitability and...
Persistent link: https://www.econbiz.de/10005876455
Abstracts are welcome on theoretical, empirical and applied housing research but are particularly welcomed from a sociological or social sciences perspective (broadly and not in any way exhaustive: geography, political science, public policy, social policy, economics, finance, management &...
Persistent link: https://www.econbiz.de/10005875653
This conference provides an international forum for the exchange of research based on longitudinal data. While priority will be given to papers based on research using the British Household Panel Survey (BHPS), the European Household Panel (ECHP), or the European Union Statistics of Income and...
Persistent link: https://www.econbiz.de/10005876231
The course will describe techniques for analysing and modelling time series in Finance and Economics. It is suitable for economists and statisticians with a basic background in time series or econometrics and it will also be useful for people working in other fields such as Geography,...
Persistent link: https://www.econbiz.de/10005876218
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