References
Arora, S. S. and M. Brown, ‘Alternative Approaches to Spatial Autocorrelation: An Improvement over Current Practice,’International Regional Science Review, Vol. 2 (1977), pp. 67–78.
Balestra, P. and M. Nerlove, ‘Pooling Cross Section and Time Series Data in the Estimation of a Dynamic Model: the Demand for Natural Gas,’Econometrica, Vol. 34 (1966), pp. 585–612.
Bartels, C. P. A. ‘Operational statistical methods for analysing spatial data,’ paper read at the Regional Science Symposium, 1977, University of Groningen, Groningen, The Netherlands.
Bartels, C. P. A. and L. Hordijk. ‘On the Power of the Generalised Moran Contiguity Coefficient in Testing for Spatial Autocorrelation among Regression Disturbances,’Regional Science and Urban Economics, Vol 7 (1977), pp. 83–101.
Brandsma, A. S. and R. H. Ketellapper. ‘Further evidence on alternative procedures for testing of spatial autocorrelation among regression disturbances,’ paper read at the Regional Science Symposium, 1977, University of Groningen, Groningen, The Netherlands.
Cliff, A. D. and J. K. Ord. ‘The Problem of Spatial Autocorrelation,’ in: A. J. Scott (ed.),Studies in Regional Science, London: Pion, 1969.
Spatial Autocorrelation, London: Pion, 1973.
Cochrane, D. and G. H. Orcutt, ‘Application of least squares regression to relationships containing autocorrelated error terms,’Journal of the American Statistical Association, Vol. 44 (1949), pp. 32–61.
Coelen, S. P. Book Review of Cliff and Ord, 1973,Journal of Economic Literature, Vol. 14 (1976), pp. 924–925.
Curry, L. ‘Univariate Spatial Forecasting,’Economic Geography, Vol. 46 (1970), Supplement), pp. 241–258.
Durbin, J. ‘Estimation of Parameters in Time-series Regression Models,’Journal of the Royal Statistical Society, B Vol. 22 (1960), pp. 139–153.
Fisher, W. D., ‘Econometric Estimation with Spatial Dependence,’Regional and Urban Economics, Vol. 1 (1971), pp. 19–40.
Fisher, W. D. and M. C. L. Fisher. ‘Estimation of a system simultaneous in the observations,’Papers of the Third Econometric World Congress, Toronto, Canada, 1975.
Gould, P. ‘Is Statistix Inferens the Geographical Name for a Wild Goose?,’Economic Geography, Vol. 46 (1970), pp. 439–448.
Guilkey, D. K. and P. Schmidt, ‘Estimation of Seemingly Unrelated Regression with Vector Autoregressive Errors,’Journal of the American Statistical Association, Vol. 68 (1973), pp. 642–647.
Hepple, L. W. ‘The Impact of Stochastic Process Theory upon Spatial Analysis in Human Geography,’ in: C. Board, R. J. Chorley, P. Haggett and D. R. Stoddart (eds.),Progress in Geography, vol. 6, 1974, London: Edward Arnold, pp. 89–112.
Hepple, L. W. ‘A Maximum Likelihood Model for Econometric Estimation with Spatial Series,’ in: I. Masser (ed.),Theory and Practice in Regional Science, 1976, London: Pion, pp. 90–104.
Hordijk, L. ‘Spatial Correlation in the Disturbances of a Linear Interregional Model,’Regional and Urban Economics, Vol. 4 (1974), pp. 117–140.
Hordijk, L. and P. Nijkamp. ‘Dynamic Models of Spatial Autocorrelation,’Environmental and Planning, A Vol. 9 (1977), pp. 505–519.
——. ‘Estimation of Spatio-temporal Models,’ in: A. Karlquist et al. (eds.),Spatial Interaction Theory and Planning Models 1978, Amsterdam: North-Holland, pp. 177–199.
Hordijk, L. and J. Paelinck. ‘Some Principles and Results in Spatial Econometrics,’Recherches Economiques de Louvain, Vol. 42, (1976), pp. 175–197.
Kadiyala, K. R. ‘A Transformation Used to Circumvent the Problem of Autocorrelation,’Econometrica, Vol. 36 (1968), pp. 93–96.
Kakwani, N. C. ‘The Unbiasedness of Zellner's Seemingly Unrelated Regression Equations Estimators,’Journal of the American Statistical Association, Vol. 62 (1967), pp. 141–142.
Klein, L. R. and N. R. Glickman, ‘Econometric Model-building at Regional Level,’Regional Science and Urban Economics, Vol. 7 (1977), pp. 3–23.
Kmenta, J. and R. F. Gilbert. ‘Estimation of Seemingly Unrelated Regression with Autoregressive Disturbances,’Journal of the American Statistical Association, Vol. 65 (1970), pp. 186–197.
Nerlove, M. ‘Further Evidence on the Estimation of Dynamic Economic Relations from a Time-series of Cross-sections,’Econometrica, Vol. 39 (1971), pp. 359–382.
Parks, R. W. ‘Efficient Estimation of a System of Regression Equations when Disturbances are both Serially and Contemporaneously Correlated,’Journal of the American Statistical Association, Vol. 62 (1967), pp. 500–509.
Somermeyer, W. H. and C. J. Lammers. ‘Heeft de televisie het bezoek aan vermakelijkheidsinsteillingen beinvloed?’ (Does television influence attendance at public entertainments?),Statistische en Economische Onderzoekingen, Den Haag: C.B. S. 1960.
Taylor, L. D. and T. W. Wilson, ‘Three-pass least Squares; a Method for Estimating Models with a Lagged Dependent Variable,’Review of Economics and Statistics, Vol. 46 (1964), pp. 329–346.
Theil, H.Principles of Econometrics, New York: John Wiley, 1971.
Van Duyn, J. J. ‘De doelmatigheid van het regional economisch beleid in Nederland in de jaren zestig’ (The effects of regional economic policy in the Netherlands during the sixties),Tijdschrift voor Economische en Sociale Geographie, Vol. 66 (1975), pp. 258–271.
Wallis, K. F. Lagged Dependent Variables and Serially Correlated Errors: a Re-appraisal of Three-pass Least Squares,Review of Economics and Statistics, Vol. 49 (1967), pp. 555–567.
Zellner, A. An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias,Journal of the American Statistical Association, vol. 57 (1962), pp. 348–368.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Hordijk, L. Problems in estimating econometric relations in space. Papers of the Regional Science Association 42, 99–115 (1979). https://doi.org/10.1007/BF01935148
Issue Date:
DOI: https://doi.org/10.1007/BF01935148