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-regressive models by generalized maximum entropy (GME). This technique allows combing assumptions about the spatial interconnections … the entropy-based estimation techniques can outperform traditional approaches. An empirical case is also studied in order …
Persistent link: https://www.econbiz.de/10012172405
Markets and expectations -- Expected utility maximization -- Effects of heterogeneous expectations -- Forecasting among alternative strategies under uncertainty -- Expectations in time series models -- Costly information and decision making -- Applied welfare economics with boundedly rational...
Persistent link: https://www.econbiz.de/10003398678
Markets and expectations -- Expected utility maximization -- Effects of heterogeneous expectations -- Forecasting among alternative strategies under uncertainty -- Expectations in time series models -- Costly information and decision making -- Applied welfare economics with boundedly rational...
Persistent link: https://www.econbiz.de/10012419767
Persistent link: https://www.econbiz.de/10009688548
Bootstrapping methods have so far been rarely used to evaluate spatial data sets. Based on an extensive Monte Carlo study we find that also for spatial, cross-sectional data, the wild bootstrap test proposed by Davidson and Flachaire (2008) based on restricted residuals clearly outperforms...
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I study how a forward-looking decision maker experiments on unknown alternatives of spatially correlated utilities modeled by a Brownian motion so that similar alternatives yield similar utilities. For example, a firm experiments on its size that yields unknown, spatially correlated...
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