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error models – to correct for misspecification due to neglected spatial autocorrelation in the data set. Our empirical … spatial structure that is required for the estimation of spatial models improves the forecasting performance of non …
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A novel spatial autoregressive model for panel data is introduced, which incorporates multilayer networks and accounts for time-varying relationships. Moreover, the proposed approach allows the structural variance to evolve smoothly over time and enables the analysis of shock propagation in...
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Declining internal migration in the United States is driven by increasing home attachment in locations with initially high rates of population turnover. These 'fast' locations were the population growth destinations of the 20th century, where home attachments were low, but have increased as...
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