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Firm survival as a function of individual and local uncertainties : an application of Shackle's potential surprise function
Tubadji, Annie; Nijkamp, Peter; Huggins, Robert - In: Journal of economic issues 55 (2021) 1, pp. 38-78
Persistent link: https://www.econbiz.de/10012501580
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Environmental impact assessment by experts in cases of factual uncertainty
Bithas, Konstantinos - In: Project appraisal : ways, means and experiences 12 (1997) 2, pp. 70-77
Persistent link: https://www.econbiz.de/10001235659
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Managing pesticide risks for non-target ecosystems with pesticide risk indicators : a multicriteria approach
Travisi, Chiara Maria; Nijkamp, Peter; Vighi, Marco; … - 2004
In the search for effective pesticide risk management tools, the design of pesticide risk indicators is nowadays … recently developed pesticide risk indices and test their potential for management purposes. A pilot approach is proposed, which … explores pesticide worst-case hazard scenarios at different space-time scales by means of a set of 5 ecotoxicological risk …
Persistent link: https://www.econbiz.de/10011334854
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Forecasting regional labour market developments under spatial heterogeneity and spatial autocorrelation
Longhi, Simonetta; Nijkamp, Peter - 2005
Because of heterogeneity across regions, economic policy measures are increasingly targeted at the regional level. As a result, the need for economic forecasts at a sub-national level is rapidly increasing. The data available to compute regional forecasts is usually based on a pseudo-panel that...
Persistent link: https://www.econbiz.de/10011343272
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Forecasting Regional Labour Market Developments Under Spatial Heterogeneity and Spatial Autocorrelation
Longhi, Simonetta; Nijkamp, Peter - 2005
Because of heterogeneity across regions, economic policy measures are increasingly targeted at the regional level. As a result, the need for economic forecasts at a sub-national level is rapidly increasing. The data available to compute regional forecasts is usually based on a pseudo-panel that...
Persistent link: https://www.econbiz.de/10014064744
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A Rank-Order Test on the Statistical Performance of Neural Network Models for Regional Labor Market Forecasts
Patuelli, Roberto - 2010
Using a panel of 439 German regions we evaluate and compare the performance of various Neural Network (NN) models as forecasting tools for regional employment growth. Because of relevant differences in data availability between the former East and West Germany, the NN models are computed...
Persistent link: https://www.econbiz.de/10013138060
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Diagnostic tools for nonlinearity in spatial models
Graaff, Thomas de; Florax, Raymond J. G. M.; Nijkamp, Peter - 1998
availability and accessibility of sophisticated computational techniques. Among the class of nonlinear models chaos theory stands …
Persistent link: https://www.econbiz.de/10011299990
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Forecasting Regional Labour Market Developments Under Spatial Heterogeneity and Spatial Autocorrelation
Longhi, Simonetta; Nijkamp, Peter - 2005
Because of heterogeneity across regions, economic policy measures are increasingly targeted at the regional level. As a result, the need for economic forecasts at a sub-national level is rapidly increasing. The data available to compute regional forecasts is usually based on a pseudo-panel that...
Persistent link: https://www.econbiz.de/10010325297
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Shacklean uncertainty and cultural embeddedness as innovation constraints in the UK
Tubadji, Annie; Nijkamp, Peter; Santarelli, Enrico - 2017
We focus on both individual and local uncertainty to explain the innovation potential of entrepreneurs in the NUTS1 UK regions in 2005 and 2009. The 'potential surprise function' (Shackle, 1949) clarifying why sometimes promising business choices are truncated is taken as a determinant of an...
Persistent link: https://www.econbiz.de/10012119250
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Cultural hysteresis, entrepreneurship and economic crisis : an analysis of buffers to unemployment after economic shocks
Tubadji, Annie; Nijkamp, Peter; Angelis, Vassilis - In: Cambridge journal of regions economy and society 9 (2016) 1, pp. 103-136
Persistent link: https://www.econbiz.de/10011659646