Econometric Advances in Spatial Modelling and Methodology: Essays in Honour of Jean PaelinckDaniel A. Griffith, C. Amrhein, Jean-Marie Huriót The purpose of models is not to fit the data but to sharpen the questions. S. Karlin, 11th R. A. Fisher Memorial Lecture, Royal Society, 20 April 1983 We are proud to offer this volume in honour of the remarkable career of the Father of Spatial Econometrics, Professor Jean Paelinck, presently of the Tinbergen Institute, Rotterdam. Not one to model solely for the sake of modelling, the above quotation nicely captures Professor Paelinck's unceasing quest for the best question for which an answer is needed. His FLEUR model has sharpened many spatial economics and spatial econometrics questions! Jean Paelinck, arguably, is the founder of modem spatial econometrics, penning the seminal introductory monograph on this topic, Spatial Econometrics, with Klaassen in 1979. In the General Address to the Dutch Statistical Association, on May 2, 1974, in Tilburg, "he coined the term [spatial econometrics] to designate a growing body of the regional science literature that dealt primarily with estimation and testing problems encountered in the implementation of multiregional econometric models" (Anselin, 1988, p. 7); he already had introduced this idea in his introductory report to the 1966 Annual Meeting of the Association de Science Regionale de Langue Fran~aise. |
Contents
INTRODUCTION FOCUS ON JEAN PAELINCK | 1 |
RECENT RESULTS IN TINBERGENBOS SYSTEMS ON | 9 |
AN ECONOMIC DEFINITION OF THE CITY | 15 |
ON THE HECKSCHEROHLIN ANALYSIS AND THE GAINS FROM TRADE WITH PROFITMAXIMIZING AND LABOUR | 33 |
THE BOXCOX TRANSFORMATION COMPUTATIONAL AND INTERPRETATION FEATURES OF THE PARAMETERS | 45 |
IMPROVING THE STEINRULE ESTIMATOR OF EACH INDIVIDUAL REGRESSION COEFFICIENT USING THE STEIN VARIENCE ESTIMA... | 57 |
A SPATIAL VERSION OF THE CHISQUARE GOODNESSOFFTT TEST AND ITS APPLICATION TO TESTS FOR SPATIAL CLUSTERING | 71 |
SOME EFFECTS OF SPATIAL AGGREGATION ON MULTTVARIATE REGRESSION PARAMETERS | 85 |
DEVELOPMENTS IN FLOWBASED LOCATION ALLOCATION MODELS | 119 |
HEURISTIC CONCENTRATION ITS CARE AND FEEDING | 133 |
SPATIAL MODELLING OF DISEASE DISPERSION USING A LOCAL STATISTIC THE CASE OF AIDS | 143 |
REGIONAL DISPARITY IN THE EUROPEAN COMMUNITY 1950 1990 | 159 |
TOWARDS A SPATIALIZED COST OF CAPITAL CONCEPT | 177 |
AN EPILOGUE FOR A VALUED COLLEAGUE AND DEAR FRIEND | 189 |
193 | |
REEXAMINATION OF THE LIMITEDINFORMATION MAXIMUM LIKELIHOOD ESTIMATION | 107 |
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Common terms and phrases
agglomeration agglomeration economies agglomeration process aggregation over 1000 AIDS Amrhein assumption Baumont cells centroids chi-square clustering concentration cost of capital counties cumulative dataset define the city density function disease distance equation expected values facilities FCLM Figure flows captured Geographical Analysis Getis Heckscher-Ohlin Hodgson Huriot increases independent variables industry Inner central interaction interchange heuristic investment Ipop Jean Paelinck Jean's labour-managed firm linear linear regression location-allocation matrix MAUP Moran Coefficients MSR estimator multivariate nodes normally distributed northern California null hypothesis Number of Aggregate number of firms observed and expected optimal solution Outer central outer peripheral output p-median paper parameters pattern population problem PSR and MSR random Regional Science regression returns to scale San Francisco scale Scenario sectors space spatial autocorrelation spatial econometrics standard error statistic Table Theorem theory Urban Economics variance variation Y₁ Yoshio Kimura zero