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- W2104246657 abstract "One of the central research questions in modelling space-time data is the right econometric model. Three potential problems one must deal with are serial dependence between the observations on each spatial unit over time, spatial dependence between the observations on the spatial units at each point in time, and unobservable spatial and time period specific effects. As we have no a priori reasons to believe that one problem is more important than another, this paper presents a general model assembling time-series, spatial cross-section and panel data econometrics within one framework. We also express an economic explanation for this model, derive the unconditional maximum likelihood function, present the conditions under which the model is stationary, and give an overview of parameter restrictions that lead to simpler models. As an application, the relationship between the unemployment rate, the labor force participation rate and the employment growth rate is investigated based on spacetime data of 113 regions across 9 countries of the EU over the period 1989-1996." @default.
- W2104246657 created "2016-06-24" @default.
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- W2104246657 date "2005-08-01" @default.
- W2104246657 modified "2023-09-27" @default.
- W2104246657 title "Models for Dynamic Panels in Space and Time - an Application to Regional Unemployment in the EU" @default.
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