repec data

Brexit simulation

Covid 19

Recent papers

• Gardiner B, Fingleton, B, and Martin R (2020) ‘Regional Disparities in Productivity and the Role of Capital Stock’ National Institute Economic Review, Volume 253, pp. R29-R43
• Fingleton B(2020) ‘ Italexit, is it another Brexit?’ Journal of Geographical Systems. 22:77–104 https://doi.org/10.1007/s10109-019-00307-0
• Bernard Fingleton, Dan Olner, and Gwilym Pryce(2019) Estimating the Local Employment Impacts of Immigration : A Dynamic Spatial Panel Model’ Urban Studies, https://doi.org/10.1177/0042098019887916
• Fingleton B, Nikodem Szumilo(2019) Simulating the impact of transport infrastructure investment on wages: a dynamic spatial panel model approach, Regional Science and Urban Economics https://doi.org/10.1016/j.regsciurbeco.2018.12.004
• downloadable at https://authors.elsevier.com/a/1Yf07bmIbswry
• Le Gallo J., Fingleton B. (2019) Endogeneity in Spatial Models. In: Fischer M., Nijkamp P. (eds) Handbook of Regional Science. Springer, Berlin, Heidelberg DOI https://doi.org/10.1007/978-3-642-36203-3_122-1
• Fingleton B(2019) ‘Exploring Brexit with dynamic spatial panel models : some possible outcomes for employment across the EU regions’ Annals of Regional Science https://doi.org/10.1007/s00168-019-00913-2

Published papers & book Chapters

• Fingleton, B. (1975) 'A factorial approach to the nearest centre hypothesis' Transactions of the Institute of British Geographers 65 131-139
• Fingleton, B. (1976) 'Alternative approaches to modelling varied spatial behaviour' Geographical Analysis 8 95-101
• Fingleton, B. (1978) 'Factors affecting optimum locations' Area 10 96-101
• Upton, G.J.G. and Fingleton, B. (1979) 'Loglinear models in geography' Transactions of the Institute of British Geographers 4 103-115
• Fingleton, B. (1980) 'Loglinear models, mostellerising and forecasting' Area 13 123-129
• Fingleton, B. (1981) 'Loglinear modelling of geographical contingency tables' Environment and Planning Series A 13 1539-1551
• Fingleton, B. (1983) 'Independence, stationarity, categorical spatial data and the chi-squared test' Environment and Planning Series A 15 483-499
• Independence, stationarity, categorical spatial data and the chi-squared test
• Fingleton, B. (1983) 'Loglinear models with dependent spatial data' Environment and Planning Series A 15 801-813
• Loglinear models with dependent spatial data
• Fingleton, B. (1984) 'Using GENSTAT to fit complex association models to contingency tables' GENSTAT newsletter 14 27-32
• Fingleton, B. and B.T. Porteous (1985) 'Comment on the paper by Bennett and Haining' Journal of the Royal Statistical Society A 31-32
• Fingleton, B. (1986) 'Analyzing cross-classified data with inherent spatial dependence' Geographical Analysis 18 48-61
• Fingleton, B. (1988) 'Categorical data with inherent spatial dependence : the case of cluster sampling' Transactions of the Institute of British Geographers 13 497-503
• Fingleton, B. (1989) 'Evaluating British Government regional policy : a cost oriented approach' Transactions of the Institute of British Geographers 14 446-460
• Fingleton, B. and P. Tyler (1990) 'A cost based approach to the modelling of industrial movement in Great Britain' Regional Studies, 5 433-445
• Fingleton, B. (1991) 'Industrial location and policy : a spatial statistical analysis' Papers in Regional Science 70 3 267-285
• Fingleton, B. (1991) 'Regional development : positive and negative feedback' Geography Review, 5(2) 22-26
• Fingleton, B. (1992) 'Some observations on the location of employment in high technology manufacturing in Great Britain' Urban Studies , 29 8 1265 1276
• Fingleton, B. (1994) 'The location of high technology manufacturing in Great Britain : changes in the late 1980s' Urban Studies,31 1 47-57
• Pinelli, D, Giacometti, R, Lewney, R, and Fingleton, B (1996) ‘Growth and real convergence effects’ , Chapter 7 (pp 173-208) in European Economy, 4, 1996
• McCann P, Fingleton B (1996) 'The regional agglomeration impact of just in time input linkages : evidence from the Scottish economy' Scottish Journal of Political Economy, vol 43, 493-518
• Fingleton B (1997) 'Specification and Testing of Markov Chain Models: an Application to Convergence in the European Union' Oxford Bulletin of Economics and Statistics ,vol 59, no. 3, 385-403.
• Fingleton B and McCombie J (1998) 'Increasing returns and economic growth : some evidence for manufacturing from the European Union regions' Oxford Economic Papers, vol. 50, 89-105
• Fingleton B (1999) 'Spurious spatial regression: some Monte-Carlo results with a spatial unit root and spatial cointegration' Journal of Regional Science, 39, 1-19
• Fingleton B (1999) ‘Estimates of time to economic convergence : an analysis of regions of the European Union’ International Regional Science Review, 22, 5-35
• Fingleton B (1999) 'Generalised linear models, loglinear models and regional dynamics' Chapter 17 in The Current State of Economic Science, vol 1 (ed S B Dahiya) Spellbound Publications, Rhotak, pp 285-307
• Fingleton B (2000) ‘Convergence : international comparisons based on a simultaneous equation model with regional effects’ International Review of Applied Economics, 14, 285-305
• Fingleton B (2000) ‘Spatial econometrics, economic geography, dynamics and equilibrium : a third way?’ Environment & Planning A, 32 1481-1498
• Fingleton B (2001) ‘Equilibrium and economic growth : spatial econometric models and simulations’ Journal of Regional Science, 41 117-148
• Fingleton B (2001) ‘Theoretical economic geography and spatial econometrics : dynamic perspectives' Journal of Economic Geography, 1 201-225
• Fingleton B (2001) , with TS Barker, K Homenidou and R Lewney 'The regional Cambridge multisectoral dynamic model of the UK economy' Chapter 5 in Regional Science in Business (eds. G Clarke, M Madden) Springer-Verlag Heidelberg, pp. 79-96
• Fingleton B (2003) ‘Externalities, Economic Geography and Spatial Econometrics : Conceptual And Modeling Developments’, International Regional Science Review, 26, 2 197-207
• Fingleton B (2003) ‘Introduction’ to European Regional Growth (Ed. B. Fingleton) Springer-Verlag, pp. 1 - 10
• Fingleton B (2003) ‘Models and simulations of GDP per inhabitant across Europe's regions : a preliminary view’ Chapter 1 in European Regional Growth (Ed. B. Fingleton) Springer-Verlag, pp. 11-54
• Fingleton B, Igliori D C and Moore B (2003) ‘Employment growth of small computing services firms and the role of horizontal clusters : evidence from Great Britain 1991-2000’ Chapter 9 in European Regional Growth (Ed. B. Fingleton) Springer-Verlag, pp. 267 - 292
• B Fingleton, E Lopez-Bazo (2003) Explaining the distribution of manufacturing productivity in the EU regions’ Chapter 13 in European Regional Growth (Ed. B. Fingleton) Springer-Verlag, pp. 375 – 410
• Fingleton B, A Eraydin and R. Paci (2003) ‘Introduction’, Chapter 1 in Regional Economic Growth, SMEs and the Wider Europe, (Eds Fingleton, Eradin, Paci) Ashgate, pp. 1-10
• Fingleton B (2003) ‘Non-orthodox approaches to European regional growth modeling : a review’ Chapter 2 in Regional Economic Growth, SMEs and the Wider Europe, (Eds Fingleton, Eradin, Paci) Ashgate, pp. 14- 52
• Fingleton B. (2003) 'Increasing returns: evidence from local wage rates in Great Britain', Oxford Economic Papers, 55, 716-739
• Fingleton B, Igliori D C and Moore B (2004) 'Employment Growth of Small High-technology Firms and the Role of Horizontal Clusters: Evidence from Computing Services and R&D in Great Britain 1991-2000' Urban Studies 41(4), 773-799
• Fingleton B (2004) 'Some alternative geo-economics for Europe's regions' Journal of Economic Geography 4 389-420
• Fingleton B (2004) ‘Theoretical economic geography and spatial econometrics : bridging the gap between theory and reality’ pp. 8-27 in Arthur Getis, Jesus Mur and Henry Zoller (Eds) Spatial Econometrics and Spatial Statistics (Palgrave)
• Fingleton B (2004) 'Regional economic growth and convergence : insights from a spatial econometric perspective' pp 397-432 in Advances in Spatial Econometrics (eds L Anselin, R Florax, S Rey), Springer
• Fingleton B (2005) ‘The new economic geography versus urban economics : an evaluation using local wage rates in Great Britain’, chapter 2 in Contributions to Spatial Econometrics (eds. F. Javier Trívez et al.)
• Fingleton, B (2005) ‘Contrastes Espaço-Temporais do Crescimento da Produtividade Industrial Européia: Implicações para a Teoria e o Desenvolvimento (Regional Space-time contrasts in European manufacturing productivity growth : implications for theory and development)’ chapter 16 pp 449-484 in Economia e Espaço (Economy and Space) (eds Clélio Campolina Diniz and Mauro Borges Lemos ) published by EDITORA UFMG of the Universidade Federal de Minas Gerais – UFMG (the Federal University of Minas Gerais)
• Fingleton B, Igliori D C and Moore B (2005) ' Cluster Dynamics: New Evidence and Projections for Computing Services in Great Britain ', Journal of Regional Science 45 283-311
• Fingleton B (2005) 'Towards applied geographical economics: modelling relative wage rates, incomes and prices for the regions of Great Britain' Applied Economics 37 2417-2428
• Fingleton B (2005) ‘Beyond neoclassical orthodoxy : a view based on the new economic geography and UK regional wage data’, Papers in Regional Science 84 351-375
• Fingleton B (2006) ‘The new economic geography versus urban economics : an evaluation using local wage rates in Great Britain’, Oxford Economic Papers 58 501-530
• Fingleton B, Eraydin A (2006) Networks relations and local economic development: some causes of differentiated network structures and intensities among Turkish industrial firms, Environment and Planning A 38 1171 – 1186
• Fingleton B, Lopez-Bazo E (2006) ‘Empirical Growth Models with Spatial Effects’ Papers in Regional Science 85 177-198
• Fingleton B (2006) ‘A cross-sectional analysis of residential property prices: the effects of income, commuting, schooling, the housing stock and spatial interaction in the English regions' Papers in Regional Science 85 339-361
• Fingleton B(2007) ‘A multi-equation spatial econometric model, with application to EU manufacturing productivity growth’ Journal of Geographical Systems 9 119-144
• Fingleton B, J Le Gallo (2007) ‘Finite Sample Properties of Estimators of Spatial Models with Autoregressive, or Moving Average, Disturbances and System Feedback’ Annales d’Économie et de Statistique no. 87-88 Juillet/Decembre 39-62
• Fingleton B, Igliori D C, Moore B, Odedra R (2007) ' Employment growth an cluster dynamics of creative industries in Great Britain ', Chapter 4 in The Economic Geography of Innovation (Ed. Karen Polenske), Cambridge University Press
• Fingleton B (2007) ‘New economic geography : some preliminaries’, Chapter 1 pp 11-52 in New Directions in Economic Geography (Ed B Fingleton)
• Fingleton B(2007) ‘Testing the “new economic geography” : a comparative analysis based on EU regional data’, Chapter 3 pp 70-97 in New Directions in Economic Geography (Ed B Fingleton)
• Fingleton B, McCann P(2007) ‘Sinking the iceberg? On the treatment of transport costs in new economic geography’, Chapter 6 pp 168-203 in New Directions in Economic Geography (Ed B Fingleton)
• Fingleton B, E Lopez-Bazo (2007) ‘Increasing returns and the distribution of manufacturing productivity in the EU regions’, Chapter 11 pp 151-177 in Understanding Economic Growth: New Directions in Theory and Policy, edited by Philip Arestis, Michelle Baddeley, John S. L. McCombie
• B Fingleton (2007) ‘Modeling Globalization: a Spatial Econometric Analysis’ Chapter 16, p 393-416 in Globalization and Regional Economic Modeling edited by Russel J. Cooper, Kieran P. Donaghy, and Geoffrey J.D. Hewings
• Fingleton B (2008) ‘A Generalized Method of Moments estimator for a spatial model with Moving Average errors, with application to real estate prices’ Empirical Economics 34 35-57
• Fingleton B (2008) ‘A Generalized Method of Moments estimator for a spatial panel model with an endogenous spatial lag and spatial moving average errors’ Spatial Economic Analysis, 3 27-44
• Fingleton B (2008) ‘Competing models of global dynamics : evidence from panel models with spatially correlated error components’ Economic Modelling 25 542-558
• Fingleton B (2008) ‘Housing supply, housing demand, and affordability’ Urban Studies 45 1545-1563
• Fingleton B, J Le Gallo (2008) "Estimating spatial models with endogenous variables, a spatial lag and spatially dependent disturbances: Finite sample properties" Papers in Regional Science 87 319-339
• Fingleton B, Arbia G(2008) ‘Editorial’, Papers in Regional Science Volume 87, Issue 3, Pages: 311-317
• Fingleton B, Igliori D C, Moore B (2008) R&D Clustering and Growth; Chapter 5 in Handbook of Research on Clusters: Theories, Policies and Case Studies, Edited by Charlie Karlsson, E Elgar
• B Fingleton (2008) ‘Spatial Econometrics: Methods And Applications’, chapter 3 in ‘Spatial Econometrics: Methods And Applications’ eds Giuseppe Arbia, Badi H. Baltagi, Physica-verlag Heidelberg
• Fingleton B (2009) ‘Prediction using panel data regression with spatial random effects’, International Regional Science Review, 32 195-220
• Fingleton B (2009) Spatial Autoregression Geographical_Analysis 41 385-391
• Fingleton B (2009) ‘Testing the NEG model : further evidence from panel data’ Région & Développement 30 141-158
• Burridge P & Fingleton B (2010) Bootstrap inference in spatial econometrics : the J test Spatial Economic Analysis 5(1) 93-119
• Fingleton B, Fischer M (2010) Neoclassical Theory versus New Economic Geography. Competing explanations of cross-regional variation in economic development, Annals of Regional Science, 44 467-491
• Fingleton B, J Le Gallo (2010) ‘Endogeneity in a spatial context : properties of estimators’ pp 59-73 in Páez A, Le Gallo J, Buliung R, Dall’Erba S, Progress in Spatial Analysis: Theory and Computation, and Thematic Applications, Advances in Spatial Science, Springer
• Fingleton B (2010) A multi-equation spatial econometric model, withapplication to EU manufacturing productivity growth, Chapter E3 pp 629-649 in Handbook of Applied Spatial Analysis (Springer, Edited by Manfred M. Fischer and Arthur Getis)
• Fingleton, B (2011) The empirical performance of the NEG with reference to small areas Journal of Economic Geography, 11 267-279
• Fingleton B & Baddeley M (2011) ‘Globalisation And Wage Differentials: A Spatial Analysis’ The Manchester School 79 1018-1034
• Le Gallo J, Fingleton B (2012) ‘Measurement errors in a spatial context’ Regional Science and Urban Economics 42 114-125
• downloadable
• Fingleton B, J Le Gallo (2013) ‘Endogeneité et autocorrélation spatiale : quelle utilité pour le modèle de Durbin ?’ Revue d’Economie Régionale et Urbaine February 3-17
• Fingleton B, Garretsen H, Martin RL (2012) ‘Recessionary Shocks and Regional Employment: Evidence on the Resilience of U.K. Regions’ , Journal of Regional Science 52 109-133
• Corrado L. & Fingleton B. (2012) Where is the economics in spatial econometrics? Journal of Regional Science 52 210-239
• Discussion Paper version
• MATLAB code
• Gómez-Antonio, Miguel, Fingleton B (2012), Analysing the impact of public capital stock using the NEG wage equation : a panel data approach. Journal of Regional Science, 52 486–502
• Gómez-Antonio, M, B Fingleton (2012) ‘Regional productivity variation and the impact of public capital stock: an analysis with spatial interaction, with reference to Spain’, Applied Economics, Volume 44, Issue 28, October 2012, pages 3665-3677
• Roberts M, Deichmann U, Fingleton B, Tuo Shi (2012) Evaluating China's Road to Prosperity? A New Economic Geography approach' Regional Science and Urban Economics 42 580-594
• Working Paper version
• Chen, Y., Fingleton, B., Pryce, G., Chen, A. & Djordjević, S. (2013) ‘Implications of rising flood risk for employment location: A GMM spatial model with agglomeration and endogenous house price effects’ , Journal of Property Research, Volume 30, Issue 4, December 2013, pages 298-323
• Fingleton B, Longhi S (2013) ‘The effects of agglomeration on wages: evidence from the micro-level’ Journal of Regional Science 53 443-463
• Fingleton B, Palombi S (2013) ‘Spatial panel data estimation, counterfactual predictions, and local economic resilience among British towns in the Victorian era’ Regional Science and Urban Economics 43 649–660
• J Le Gallo, B Fingleton (2013) ‘Regional growth and convergence empirics’ Chapter 16, pp. 291-315 in Handbook of Regional Science, Volume 1, Manfred Fischer and Peter Nijkamp (Eds.)
  • Fingleton B, Palombi S (2013) The wage curve reconsidered : is it truly an 'empirical law of economics'? Région & Développement no. 38 49-92
  • Doran J ,Fingleton B (2014) "Economic Shocks and Growth: Spatio-temporal Perspectives on Europe’s Economies in a Time of Crisis” Papers in Regional Science first published online: 24 JUN 2013 | DOI: 10.1111/pirs.12048
  • Baltagi BH, Fingleton B and A Pirotte (2014) ‘Estimating and Forecasting with a Dynamic Spatial Panel Data Model’ Oxford Bulletin of Economics and Statistics 76 112-138
  • Baltagi B, Fingleton B, Pirotte A (2014) ‘Spatial Lag Models with Nested Random Effects: an IV procedure with application to English house prices’ Journal of Urban Economics 80 76-86
  • Fingleton B (2014) ‘Forecasting with dynamic spatial panel data : practical implementation methods’’ in Special Issue on "Advances in Regional Forecasting” , Economics and Business Letters Vol 3, No 4 194-207
  • Baltagi B, Fingleton B, Pirotte A (2014) ‘Multilevel and Spillover Effects estimated for Spatial Panel Data, with application to English House Prices’ REVUE RÉGION ET DÉVELOPPEMENT vol 40 25-36
  • Fingleton B, Garretsen H, Martin RL (2015) ‘Shocking Aspects of Monetary Union: The Vulnerability of Regions in Euroland’ Journal of Economic Geography vol. 15(5), pages 907-934
  • Justin Doran, Bernard Fingleton (2015) ‘Resilience from the micro-perspective’ Cambridge Journal of Regions, Economy and Society 8 (2): 205-223
  • Fingleton B, Palombi S (2016) ‘Bootstrap J Test for Panel Models with Spatially Dependent Error Components, a Spatial Lag and Additional Endogenous Variables’ Spatial Economic Analysis 11 7-26
  • Doran J and Fingleton (2016) ‘Employment resilience in Europe and the 2008 economic crisis: insights from micro level data' Regional Studies, 50(4), 644-656
  • Fingleton B (2016) ‘Regional Science in a time of uncertainty’ REGION Volume 3, Number 2, 2016, 61-69
  • Fingleton B, (2017) ‘Dynamic Spatial econometric models: a critical review’ Scienze Regionali (Italian Journal of Regional Science) 16(1), 9-30
  • Fingleton B , Pirotte A (2017) ‘'Dynamic spatial panel modelling : estimation and forecasting with application to English house prices' (in Spanish) Papeles de Economia Española 152 92-103
  • Fingleton B , Pirotte A (2017)’Contemporary developments in spatial econometrics modelling : the 14th International Workshop on Spatial Econometrics and Statistics, Paris 2015, Spatial Economic Analysis 12 129-137
  • Doran J, Fingleton B (2018 ) ‘US Metropolitan Area Resilience: Insights from Dynamic Spatial Panel Estimation' Environment & Planning A 50 111-132
  • Fingleton B , Le Gallo J, , Pirotte A (2018) ‘Panel Data Models with Spatially Dependent Nested Random Effects’ Journal of Regional Science 58, NO. 1, 2018, pp. 63–80
  • Fingleton B , Le Gallo J, , Pirotte A (2018) ‘A multi-dimensional Spatial Lag Panel Data Model with spatial moving average nested random effects errors’ Empirical Economics 55(1), 113-146
  • Le Gallo J, B Fingleton (2018) ‘Regional growth and convergence empirics’ revised Chapter in Handbook of Regional Science, 2nd Edition, Manfred Fischer and Peter Nijkamp (Eds.)
  • Baltagi B, Fingleton B, Pirotte A (2018) ‘A Time-Space Dynamic Panel Data Model with Spatial Moving Average Errors’ Regional Science and Urban Economics https://doi.org/10.1016/j.regsciurbeco.2018.04.013
  • Bernard Fingleton, Franz Fuerst and Nikodem Szumilo (2018) "Housing affordability: is new local supply the key?" E&P A https://doi.org/10.1177/0308518X18798372
  • J Le Gallo, B Fingleton (2018) ‘Regional growth and convergence empirics’ revised Chapter in Handbook of Regional Science, 2nd Edition, Manfred Fischer and Peter Nijkamp (Eds.)

  Working Papers

  • Luisa Corrado & Bernard Fingleton, 2016. "The W Matrix in Network and Spatial Econometrics: Issues Relating to Specification and Estimation," CEIS Research Paper 369, Tor Vergata University, CEIS, revised 12 Feb 2016.
  • Spatial Economics Research Centre, LSE - Predicting the Geography of House Prices
  • Luisa Corrado and Bernard Fingleton (2011) 'Multilevel Modelling with Spatial Effects' University of Strathclyde Discussion paper 11-05