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problem of spatial statistics -- 1.3. Spatial sampling perspectives -- 1.4. Models of spatial autocorrelation -- 1.5. Towards … a theory of spatial statistics -- 1.6 References -- Appendix 1A: Derivation of the expected value of MC -- Appendix 1B …: Derivation of the expected value of GR -- 2. Developing a theory of spatial statistics -- 2.1. The small sample size problem -- 2 …
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geometric ergodicity of the model. Simulation results justify the use of limit theory in empirically relevant settings. The …
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In the present study we investigate the data provided by the karstwater level monitoring system set up in the Transdanubian Mountains, more precisely in the Bakony, the Keszthelyi Mountains and the Balaton-Highland. (Here, like in the sequel, the term karstwater is used for groundwater in...
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, and the associated asymptotic theory for estimation is also provided. Simulation results show that our model performs well …
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We introduce a new time-varying parameter spatial matrix autoregressive model that integrates matrix-valued time series, heterogeneous spillover effects, outlier robustness, and time-varying parameters in one unified framework. The model allows for separate dynamic spatial spillover effects...
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Volatility and Time Series Econometrics: Essays in Honor of Robert F. .Engle Edited by … History of Econometrics at the University of California, San Diego: A Personal Viewpoint 1 … 6 7 Wives 8 8 The Econometrics Research Project …
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This paper develops a statistical model for measuring spatial interactions when estimating macroeconomic regimes and regime shifts. The model is applied to study the contagion and propagation of recessions in small regional economies in the United States from 1990 to 2015. The empirical analysis...
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