Aggregation of Regional Economic Time Series with Different Spatial Correlation Structures

Geographical Analysis

Volumn 43, Issue 1, 2011, Pages 78-103

  Arbia, Giuseppe ^a   Bee, Marco ^b   Espa, Giuseppe ^b  

^a UNIVERSITY OF CHIETI   (Italy)

^b UNIVERSITY OF TRENTO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; CORRELATION; DATA MANAGEMENT; DATA SET; ECONOMETRICS; FORECASTING METHOD; MONTE CARLO ANALYSIS; MULTIVARIATE ANALYSIS; NUMERICAL MODEL; PARAMETERIZATION; TIME SERIES ANALYSIS; VECTOR AUTOREGRESSION;

EID: 78650778256     PISSN: 00167363     EISSN: 15384632     Source Type: Journal    
DOI: 10.1111/j.1538-4632.2010.00809.x     Document Type: Article

References (28)

1. Arbia, G. (1989). Spatial Data Con in Statistical Analysis of Regional Economics and Related Problems. Dordrecht: Kluwer Academic Publisher.
2. Arbia, G. (2006). Spatial Econometrics: Statistical Foundations and Applications to Regional Convergence. Berlin: Springer Verlag.
3. Arbia, G., R. Benedetti, and G. Espa (1996). "Effects of the MAUP on Image Classification. Geographical Systems 3, 123-41.
4. Arbia, G., R. Benedetti, and G. Espa (1999). "Classification in Image Analysis: An Assessment of Accuracy of ICM. Computational Statistics and Data Analysis 30 (4), 443-55.
5. Besag, J. (1974). "Spatial Interaction and the Statistical Analysis of Lattice Systems (with Discussion). Journal of the Royal Statistical Society B 36, 192-236.
6. Borovkova, S., H. P. Lopuhaä, and B. N. Ruchjanä (2008). "Consistency and Asymptotic Normality of Least Squares Estimators in Generalized STAR Models. Statistica Neerlandica 62, 482-508.
7. Cliff, A. D., P. Haggett, J. K. Ord, K. Bassett, and R. Davies (1975). Elements of Spatial Structure-A Quantitative Approach. Cambridge: Cambridge University Press.
8. Cliff, A. D., and J. K. Ord (1981). Spatial Processes: Models and Applications. London: Pion.
9. Doan, T., R. B. Litterman, and C. A. Sims (1984). "Forecasting and Conditional Projections Using Realistic Prior Distributions. Econometric Reviews 3, 1-100.
10. Giacomini, R., and C. W. J. Granger (2004). "Aggregation of Space-Time Processes. Journal of Econometrics 118, 7-26.
11. Griffith, D. A. (1983). "The Boundary Value Problem in Spatial Statistical Analysis. Journal of Regional Science 23, 377-37.
12. Griffith, D. A. (1985). "An Evaluation of Correction Techniques for Boundary Effects in Spatial Statistical Analysis: Contemporary Methods. Geographical Analysis 17, 81-8.
13. Griffith, D. A. (1988). Advanced Spatial Statistics. Dordrecht: Kluwer Academic Press.
14. Griffith, D. A. (2006). "Hidden Negative Spatial Autocorrelation. Journal of Geographical Systems 8, 335-55.
15. Griffith, D. A., and C. Amrhein (1983). "An Evaluation of Correction Techniques for Boundary Effects in Spatial Statistical Analysis: Traditional Methods. Geographical Analysis 15, 352-60.
16. Griffith, D. A., and G. Arbia (2006). "Effects of Negative Spatial Autocorrelation in Linear Regression Modelling." International Workshop on Spatial Econometrics and Statistics, Rome, May 2006.
17. Kohn, R. (1982). "When Is an Aggregate of a Time Series Efficiently Forecast by its Past? Journal of Econometrics 18, 337-50.
18. Krivelyova, A., and J. LeSage (1999). "A Spatial Prior for Bayesian Vector Autoregressive Models. Journal of Regional Science 39, 297-317.
19. LeSage, J., and R. K. Pace (2009). Introduction to Spatial Econometrics. Boca Raton, FL: Chapman & Hall.
20. Litterman, R. B. (1986). "Forecasting with Bayesian Vector Autoregressions: Five Years of Experience. Journal of Business and Economic Statistics 4, 25-38.
21. Lütkepohl, H. (1987). Forecasting Aggregated Vector ARMA Processes. Berlin: Springer Verlag.
22. Lütkepohl, H. (1993). Introduction to Multiple Time Series Analysis. Berlin: Springer Verlag.
23. Openshaw, S. (1984). The Modifiable Areal Unit Problem. Norwich, UK: Geo Books.
24. Openshaw, S., and P. Taylor (1979). "A Million or So Correlation Coefficients: Three Experiments on the Modifiable Areal Unit Problem." In Statistical Applications in the Spatial Sciences, 127-44, edited by N. Wrigley London: Pion.
25. Pfeifer, P. E., and S. J. Deutsch (1980). "A Three-Stage Iterative Procedure for Space-Time Modeling. Technometrics 22, 35-47.
26. Ripley, B. D. (1981). Spatial Statistics. New York: Wiley.
27. Schwarz, G. (1978). "Estimating the Dimension of a Model. Annals of Statistics 6, 461-4.
28. Upton, G. J. G., and B. Fingleton (1985). Spatial Data Analysis by Example. Vol. 1, Point Pattern and Quantitative Data. Chichester: Wiley.