Local employment growth in the coastal area of Tunisia: spatial filtering approach

References

• Amara, M. (2009). Concentration et agglomération industrielles dans la métropole de Tunis [Concentration and industrial agglomeration in Tunis metropolis]. Revue d’Economie Régionale et Urbaine, 3, 599–625. doi:10.3917/reru.093.0599
   Google Scholar
• Amara, M., & Ayadi, M. (2011). Local employment growth in the coastal area of Tunisia: A dynamic spatial panel approach. ( ERF Working Paper 650/2011). Cairo, Egypt.
   Google Scholar
• Amara, M., & Ayadi, M. (2013). The local geographies of welfare in Tunisia: Does neighbourhood matter? International Journal of Social Welfare, 22(1), 90–103. doi:10.1111/j.1468-2397.2011.00863.x
   Google Scholar
• Amara, M., Bouabid A., & Belkacem, L. (2013). Les marches locaux du travail en Tunisie: Espace et processus d’appariement [Local labour markets in Tunisia: Space and matching process]. Annals of Economics and Statistics, No 109/110, 131–160.
   Google Scholar
• Amara, M., & Thabet, K. (2012). Structure industrielle et développement local du littoral Tunisien, 1998–2004 [Industrial structure and local development in Tunisia's coastal area, 1998–2004]. Mondes en développement, 157, 119–136. doi:10.3917/med.157.0119
   Google Scholar
• Anselin, L. (1999). Interactive techniques and exploratory spatial data analysis. In: P. A. Longley, M. F. Goodchild, D. J. Maguire, & D. W. Rhind (Eds.), Geographical information systems: Principles, techniques, management and applications (pp. 251–264). New York: Wiley.
   Google Scholar
• Anselin, L., Varga, A., & Acs, Z. (1997). Local geographic spillovers between university research and high technology innovations. Journal of Urban Economics, 42, 422–448. doi:10.1006/juec.1997.2032
   Google Scholar
• Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58, 277–297. doi:10.2307/2297968
   Google Scholar
• Arellano, M., & Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of Econometrics, 68(1), 29–51. doi:10.1016/0304-4076(94)01642-D
   Google Scholar
• Ayadi, M., & Amara, M. (2009). Spatial patterns and geographic determinants of welfare and poverty in Tunisia. 15th ERF proceeding, Cairo, Egypt, 155–182.
   Google Scholar
• Ayadi, M., Boulila, G., Lahouel, M., & Montigny, P. (2004). Pro-poor growth in Tunisia. Paris: International Development & Strategies, France 84.
   Google Scholar
• Badinger, H., Müller, W. G., & Tondl, G. (2004). Regional convergence in the European Union, 1985–1999: A spatial dynamic panel analysis. Regional Studies, 38, 241–253. doi:10.1080/003434042000211105
   Google Scholar
• Batisse, C. (2002). Dynamic externalities and local growth: A panel data analysis applied to Chinese provinces. China Economic Review, 13, 231–251. doi:10.1016/S1043-951X(02)00068-8
   Google Scholar
• Beaudry, C., & Schiffaurova, A. (2009). Who’s right, Marshall or Jacobs? The localization versus urbanization debate. Research Policy, 38, 318–337. doi:10.1016/j.respol.2008.11.010
   Google Scholar
• Ben Ayed Mouelhi, R. (2007). The impact of trade liberalization on Tunisian manufacturing: Structure, performance and employment. Région et Développement, 25, 87–114.
   Google Scholar
• Billings, S. (2009). Do enterprise Zones work? An analysis at the borders. Public Finance Review, 37(1), 68–93. doi:10.1177/1091142108321238
   Google Scholar
• Blien, U., Gartner, H., Stüber, H., & Wolf, K. (2009). Regional price levels and the agglomeration wage differential in western Germany. The Annals of Regional Science, 43(1), 71–88. doi:10.1007/s00168-007-0205-8
   Google Scholar
• Blien, U., Suedekum, J., & Wolf, K. (2006). Local employment growth in West Germany: A dynamic panel approach. Labour Economics, 13, 445–458. doi:10.1016/j.labeco.2006.02.004
   Google Scholar
• Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of econometrics, 87(1), 115–143. doi:10.1016/S0304-4076(98)00009-8
   Google Scholar
• Boughzala, M. (2013). Youth employment and economic transition in Tunisia. Washington, DC: Brookings.
   Google Scholar
• Brenner, T. (2004). Local industrial clusters: Existence, emergence, and evolution. London: Routledge.
   Google Scholar
• Bun, J. G., & Makhloufi, A. (2007). Dynamic externalities, local industrial structure and economic development: Panel data evidence for Morocco. Regional Studies, 41, 823–837. doi:10.1080/00343400601142787
   Google Scholar
• Combes, P. P. (2000). Economic structure and local growth: France, 1984–1993. Journal of Urban Economics, 47, 329–355. doi:10.1006/juec.1999.2143
   Google Scholar
• Combes, P. P., Duranton, G., & Gobillon, L. (2008). Spatial wage disparities: Sorting matters! Journal of Urban Economics, 63, 723–742. doi:10.1016/j.jue.2007.04.004
   Google Scholar
• Combes, P., Duranton, G., & Overman, H. (2005). Agglomeration and the adjustment of the spatial economy. Papers in Regional Science, 84, 311–349. doi:10.1111/j.1435-5957.2005.00038.x
   Google Scholar
• Combes, P. P., Magnac, T., & Robin, J. M. (2004). The dynamics of local employment in France. Journal of Urban Economics, 56, 217–243. doi:10.1016/j.jue.2004.03.009
   Google Scholar
• Cravo, T. A., & Resende, G. M. (2013). Economic growth in Brazil: A spatial filtering approach. The Annal of Regional Science, 50, 555–575. doi:10.1007/s00168-012-0504-6
   Google Scholar
• Diop, N. (2008). Tunisia’s global integration: A second generation of reforms to boost growth and employment. Washington, DC: World Bank, 1–145.
   Google Scholar
• Dlala, H. (1997). La reconversion compétitive de l’industrie tunisienne: Arrimage àl’Europe et mise àniveau [The competitive conversion of Tunisian industry: Lashing Europe and upgrade]. Méditerranée, 87(3), 87–98. doi:10.3406/medit.1997.3010
   Google Scholar
• Dlala, H. (2007). Métropolisation et recomposition territoriale du Nord-Est tunisien [Metropolisation and territory recomposition of the North-East of Tunisia]. Cybergeo, European Journal of Geography, Environnement. Nature, Paysage, article 410. doi:10.4000/cybergeo.13863
   Google Scholar
• Duranton, G., & Overman, H. (2005). Testing for localization using micro-geographic data. Review of Economic Studies, 72, 1077–1106. doi:10.1111/0034-6527.00362
   Google Scholar
• Duranton, G., & Puga, D. (2004). Micro-foundations of urban agglomeration economies. Handbook of Regional and Urban Economics, 4, 2063–2117. doi:10.1016/S1574-0080(04)80005-1
   Google Scholar
• Elhorst, J. P. (2005). Unconditional maximum likelihood estimation of linear and log-linear dynamic models for spatial panels. Geographical Analysis, 37(1), 85–106. doi:10.1111/j.1538-4632.2005.00577.x
   Google Scholar
• Elhorst, J. P. (2010a). Applied spatial econometrics: Raising the bar. Spatial Economic Analysis, 5(1), 9–28. doi:10.1080/17421770903541772
   Google Scholar
• Elhorst, J. P. (2010b). Spatial panel data models. In: M. M. Fischer & A. Getis (Eds.), Handbook of applied spatial analysis (pp. 377–407). Berlin, Heidelberg, and New York, NY: Springer.
   Google Scholar
• Elhorst, J. P. (2012). Dynamic spatial panels: Models, methods, and inferences. Journal of Geographical Systems, 14(1), 5–28. doi:10.1007/s10109-011-0158-4
   Google Scholar
• Erdle, S. (2011). Industrial policy in Tunisia. DIE Discussion Paper 1/2011. Bonn: Deutsches Institut für Entwicklungspolitik.
   Google Scholar
• Fernandez-Aviles Calderon, G. (2009). Spatial regression analysis vs. Kriging methods for spatial estimation. International Advances in Economic Research, 15(1), 44–58. doi:10.1007/s11294-008-9189-0
   Google Scholar
• Ferstl, R. (2007). Spatial filtering with EViews and MATLAB. Austrian Journal for Statistics, 36(1), 17–26.
   Google Scholar
• Fritsch, M. (2004). Entrepreneurship, entry and performance of new business compared in two growth regimes: East and West Germany. Journal of Evolutionary Economics, 14, 525–542. doi:10.1007/s00191-004-0230-z
   Google Scholar
• Getis, A. (1995). Spatial filtering in a regression framework: Examples using data on urban crime, regional inequality, and government expenditure. In: L. Anselin & RJGM Florax (Eds.), New directions in spatial econometrics (pp. 172–185). Berlin, Heidelberg, and New York, NY: Springer.
   Google Scholar
• Getis, A., & Griffith, D. A. (2002). Comparative spatial filtering in regression analysis. Geographical Analysis, 34(2), 130–140. doi:10.1111/j.1538-4632.2002.tb01080.x
   Google Scholar
• Glaeser, E. L., Kallal, H. D., Scheinkman, J. A., & Shleifer, A. (1992). Growth in cities. Journal of Political Economy, 100, 1126–1152. doi:10.1086/261856
   Google Scholar
• Glaeser, E., Scheinkman, J., & Shleifer, A. (1995). Economic growth in a cross-section of cities. Journal of Monetary Economics, 36(1), 117–143. doi:10.1016/0304-3932(95)01206-2
   Google Scholar
• Henderson, V. (2003). Marshall's scale economies. Journal of Urban Economics, 53(1), 1–28. doi:10.1016/S0094-1190(02)00505-3
   Google Scholar
• Jacobs, J. (1969). The economy of cities. New York, NY: Vintage Books, a division of Random House.
   Google Scholar
• Jacobs, J., Ligthart, J., & Vrijburg, H. (2009). Dynamic panel data models featuring endogenous interaction and spatially correlated errors. ( Working Paper 09-15). International Studies Program, Georgia State University.
   Google Scholar
• Kanbur, R., & Rapoport, H. (2005). Migration selectivity and the evolution of spatial inequality. Journal of Economic Geography, 5(1), 43–57. doi:10.1093/jnlecg/lbh053
   Google Scholar
• Krugman, P. (1991). Geography and trade. Cambridge, MA: MIT Press.
   Google Scholar
• Lacombe, D. J. (2004). Does econometric methodology matter? An analysis of public policy using spatial econometric techniques. Geographical Analysis, 36(2), 105–118. doi:10.1111/j.1538-4632.2004.tb01128.x
   Google Scholar
• Lee, L. F., & Yu, J. (2010a). Estimation of spatial panel model with fixed effects. Journal of Econometrics, 154, 165–185. doi:10.1016/j.jeconom.2009.08.001
   Google Scholar
• Lee, L. F., & Yu, J. (2010b). A spatial dynamic panel data model with both time and individual fixed effects. Econometric Theory, 26, 564–597. doi:10.1017/S0266466609100099
   Google Scholar
• Lee, L. F., & Yu, J. (2010c). Some recent developments in spatial panel data models. Regional Science and Urban Economics, 40, 255–271. doi:10.1016/j.regsciurbeco.2009.09.002
   Google Scholar
• Marshall, A. (1890). Principles of economics. London: Macmillan and Company.
   Google Scholar
• Neumark, D., & Kolko, J. (2010). Do enterprise zones create jobs? Evidence from California’s enterprise zone program. Journal of Urban Economics, 68(1), 1–19. doi:10.1016/j.jue.2010.01.002
   Google Scholar
• O’Donoghue, D. (2002). The relationship between diversification and growth: Some evidence from the British urban system 1978 to 1991. International Journal of Urban and Regional Research, 23, 549–566. doi:10.1111/1468-2427.00212
   Google Scholar
• Parent, O., & LeSage, J. P. (2011). A space–time filter for panel data models containing random effects. Computational Statistics and Data Analysis, 55, 475–490. doi:10.1016/j.csda.2010.05.016
   Google Scholar
• Parent, O., & LeSage, J. P. (2010). A spatial dynamic panel model with random effects applied to commuting times. Transportation Research Part B, 44, 633–645. doi:10.1016/j.trb.2010.01.004
   Google Scholar
• Porter, M. (1990). The competitive advantage of nations. New York: Free Press.
   Google Scholar
• Sargan, J. D. (1958). The estimation of economic relationships using instrumental variables. Econometrica, 26, 393–415. doi:10.2307/1907619
   Google Scholar
• Shearmur, R., Apparicio, P., Lizion, P., & Polèse, M. (2007). Space, time, and local employment growth: An application of spatial regression analysis. Growth and Change, 38, 696–722. doi:10.1111/j.1468-2257.2007.00393.x
   Google Scholar
• Shearmur, R., & Polèse, M. (2007). Do local factors explain local employment growth? Evidence from Canada, 1971–2001. Regional Studies, 41, 453–471. doi:10.1080/00343400600928269
   Google Scholar
• Simon, C. (1998). Human capital and metropolitan employment growth. Journal of Urban Economics, 43, 223–243. doi:10.1006/juec.1997.2048
   Google Scholar
• Simon, C., & Nardinelli, C. (2002). Human capital and the rise of American cities, 1900–1990. Regional Science and Urban Economics, 32(1), 59–96. doi:10.1016/S0166-0462(00)00069-7
   Google Scholar
• Sudekum, J. (2008). Convergence of the skill composition across German regions. Regional Science and Urban Economics, 38, 148–159. doi:10.1016/j.regsciurbeco.2008.01.003
   Google Scholar
• Thisse, J. (2009). How transport costs shape the spatial pattern of economic activity. In OECD, the future for interurban passenger transport: Bringing citizens closer together (pp. 25–51). OECD Publishing. doi:10.1787/9789282102688-2-en
   Google Scholar
• World Bank. (2009). World development report 2009: Reshaping economic geography. Washington, DC: The World Bank.
   Google Scholar
• Yu, J., De Jong, R., & Lee, L. F. (2008). Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both n and T are large. Journal of Econometrics, 146(1), 118–134. doi:10.1016/j.jeconom.2008.08.002
   Google Scholar