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even more pronounced at longer forecasting horizons (the forecast accuracy gain as measured by the root mean squared … spatial dependence structure into regional forecasting models, especially, when long-term forecasts are made. …
Persistent link: https://www.econbiz.de/10012039490
shown that effect of accounting for spatial dependence is even more pronounced at longer forecasting horizons (the forecast …
Persistent link: https://www.econbiz.de/10014046018
shown that effect of accounting for spatial dependence is even more pronounced at longer forecasting horizons (the forecast …-year horizon). -- Chinese provinces ; forecasting ; dynamic panel model ; spatial autocorrelation ; group-specific spatial …
Persistent link: https://www.econbiz.de/10003889550
Agglomeration economies play an important role in the explanation of the development and regional growth. For this reason, there exists a growing interest in the analysis of standards of co-localisation of the economic activities. This topic has been dealt with from different approaches using a...
Persistent link: https://www.econbiz.de/10011542559
longer forecasting horizons (the forecast accuracy gain as measured by the root mean squared forecast error is about 8% at …
Persistent link: https://www.econbiz.de/10013138903
This paper considers the problem of prediction in a panel data regression model with spatial auto-correlation in the context of a simple demand equation for liquor. This is based on a panel of 43 states over the period 1965-1994. The spatial auto-correlation due to neighboring states and the...
Persistent link: https://www.econbiz.de/10014183179
In the 1997 and 1998 waves of the British Household Panel Survey, workers are asked to assess their level of job security in terms of the probability of becoming unemployed within the next year. We examine whether these perceptions of insecurity are purely subjective or are systematically...
Persistent link: https://www.econbiz.de/10001646566
The three-step generalized methods of moments (GMM) approach of Kapoor, Kelejian and Prucha (2007), which corrects for spatially correlated errors in static panel data models, is extended by introducing fixed effects, a spatial lag, and a one-period lag of the dependent variable as additional...
Persistent link: https://www.econbiz.de/10014175015
The spatial panel model is applied to a new data set: monthly data of the number of ETC (Electronic Toll Collecting) transponders newly installed in 47 Japanese prefectures. The model incorporates marketing variables and highway-related variables. Regarding the spatial panel model, this work...
Persistent link: https://www.econbiz.de/10014044708
A space-time filter structure is introduced that can be used to accommodate dependence across space and time in the error components of panel data models that contain random effects. This general specification encompasses several more specific space-time structures that have been used recently...
Persistent link: https://www.econbiz.de/10014046455