Skills, innovation, and growth: An agent-based policy analysis

Jahrbucher fur Nationalokonomie und Statistik

Volumn 228, Issue 2-3, 2008, Pages 251-275

  Dawid, H ^a   Gemkow, S ^a   Harting, P ^a   Kabus, K ^a   Wersching, K ^a   Bielefeld, B ^a   Neugart, M ^b   Bozen, B ^a  

^a BIELEFELD UNIVERSITY   (Germany)

^b FREE UNIVERSITY OF BOZEN BOLZANO   (Italy)

Author keywords

Agent based model; Innovation; Regional policy; Skills

Indexed keywords

EID: 57349101808     PISSN: 00214027     EISSN: None     Source Type: Journal    
DOI: 10.1515/jbnst-2008-2-307     Document Type: Article

References (51)

1. Aghion, P. (2008), Higher education and innovation. Perspektiven der Wirtschaftspolitik 9: 28-45.
2. Aghion, P., R. Blundell, R. Griffith, P. Howitt, S. Prantl (2006), The effects of entry on incumbent innovation and productivity. NBER Working Paper No. 12027.
3. Argote, L., D. Epple (1990), Learning curves in manufacturing. Science 247: 920-924.
4. Audretsch, D., M. Feldman (2004), Knowledge spillovers and the geography of innovation. Pp.: 2715-2739 in: J. Henderson, J.-F. Thisse (eds.), Handbook of Regional and Urban Economics Volume 4: Cities and Geography, North-Holland.
5. Bassanini, A. (2004), Improving skills for more and better jobs? The quest for efficient policies to promote adult education and training. European Economy: Special Reports 4: 103-137.
6. Bassanini, A., S. Scarpetta (2002), Does human capital matter for growth in OECD countries? A pooled mean group approach. Economics Letters 74: 399-405.
7. Black, M. (1981), An empirical test of the theory of on-the-job-search. The Journal of Human Resources 16: 129-141.
8. Bosker, M., S. Brakman, H. Garresten, M. Schramm (2007), Adding geography to the new economic geography. Working Paper No. 2038, Cesifo.
9. Bunn, D.W., F. Oliveira (2001), An application of agent-based simulation to the new electricity trading arrangements of England and Wales. IEEE Transactions on Evolutionary Computation 5: 493-503.
10. Burda, M., A. Mertens, (2001), Estimating wage losses of displaced workers in Germany. Labour Economics 8: 15-42.
11. Chiaromonte, F., G. Dosi (1993), Heterogeneity, competition and macroeconomic dynamics. Structural Change and Economic Dynamics 4: 39-63.
12. Cyert, R.M., J.G. March (1963), A Behavioral Theory of the Firm. Prentice Hall, Englewood Cliffs.
13. Dawid, H., G. Fagiolo (2008), Agent based models for economic policy design. Special issue of the Journal of Economic Behavior and Organization 67: 2.
14. Dawid, H., K. Wersching (2006), On technological specialization in industrial clusters: An agent-based analysis. Pp. 367-378 in: J.-P. Rennard (ed.), Handbook of Research on Nature Inspired Computing for Economics and Management. Idea.
15. Deaton, A. (1991), Saving and liquidity constraints. Econometrica 59: 1221-1248.
16. Deaton, A. (1992), Houshold saving in Idcs: Credit markets, insurance and welfare. Scandinavian Journal of Economics 94: 253-273.
17. Delli Gatti, D., C. Guilmi, E. Gaffeo, G. Giulioni, M. Gallegati, A. Palestrini (2005), A new approach to business fluctuations: Heterogeneous interacting agents, scaling laws and financial fragility. Journal of Economic Behavior and Organization 56: 489-512.
18. Döring, T., J. Schnellenbach (2006), What do we know about geographical knowledge spillovers and regional growth? A survey of the literature. Regional Studies 40: 375-395.
19. Dosi, G., G. Fagiolo, A. Roventini (2006), An evolutionary model of endogeneous business cycles. Computational Economics 27: 3-34.
20. Fagiolo, G., G. Dosi, R. Gabriele (2004), Matching, bargaining, and wage setting in an evolutionary model of labor market and output dynamics. Advances in Comples Systems 14: 237-273.
21. Geroski, P. (1995), Markets for technology: Knowledge, innovation and appropriability. Pp. 90-131 in: P. Stoneman (ed.), Handbook of the Economics of Innovation and Technological Change. Blackwell.
22. Gintis, P. (2006), The dynamics of general equilibrium. The Economic Journal 117: 1280-1309.
23. Griffith, R., S. Redding, J. van Reenen (2004), Mapping the two faces of r & d: Productivity growth in a panel of OECD industries. Review of Economics and Statistics 86: 883-895.
24. Guadagni, P., J. Little (1983), A logit model of brand choice calibrated on scanner data. Marketing Science 2: 203-238.
25. Happe, K., A. Balmann, K. Kellermann, C. Sahrbacher (2008), Does structure matter? The impact of switching the agricultural policy regime on farm structures. Journal of Economic Behavior and Organization 67: 431-444.
26. Henderson, J., J.-F.E. Thisse (2004), Handbook of Regional and Urban Economics Volume 4: Cities and Geography. North-Holland.
27. Hillier, E, G. Lieberman (1986), Introduction to Operations Research. Holden-Day.
28. Kirman, A. (1992), Whom or what does the representative individual represent? Journal of Economic Perspectives 6: 117-136.
29. Krishnamruthi, L., S.P. Raj (1988), A model of brand choice and purchase quantity price sensitivities. Marketing Science 7: 1-20.
30. Krugman, P. (1991), Increasing returns and economic geography. Journal of Political Economy, 99(3): 483-499.
31. Malerba, F., R. Nelson, L. Orsenigo, S. Winter (2001), Competition and industrial policies in a 'history-friendly' model of the evolution of the computer industry. Journal of Industrial Organization 19: 635-664.
32. Mühlemann, S., S. Wolter, M. Fuhrer, A. Wüest (2007), Lehrlingsausbildung - ökonomisch be-trachtet: Ergebnisse der zweiten Kosten-Nutzen-Studie. Rügger.
33. Nagle, T. (1987), Strategy and Tactics of Pricing. Prentice Hall.
34. Nelson, R.R., Winter, S.G. (1982), An Evolutionary Theory of Economic Change. Harvard University Press, Cambridge/Mass, and London.
35. Neugart, M. (2008), Labor market policy evaluation with ace. Journal of Economic Behavior and Organization 67: 418-430.
36. Nicolaisen, J., V. Petrov, L. Tesfatsion (2001), Market power and efficiency in computational electricity market with discriminatory double-auction pricing. IEEE Transactions on Evolutionary Computation 5: 504-523.
37. OECD (2000), Is there a new economy? First report on the OECD growth project, OECD, Paris. Internet source: http://www.oecd.org/growth.
38. OECD (2004), Benefits and Wages: OECD indicators.
39. Ottaviano, G., J.-F. Thisse (2004), Agglomeration and economic geography. Pp.: 2563-2608 in: J. Henderson, J.-F. Thisse (eds.), Handbook of Regional and Urban Economics Volume 4: Cities and Geography, North-Holland.
40. Phelps, S., S. Parsons, P. McBurney, E. Sklar (2002), Co-evolution of auction mechanisms and trading strategies: Towards a novel approach to microeconomic design. Proceedings of the Workshop on Evolutionary Computation in Multi-Agent Systems (ECoMAS 2002).
41. Pissarides, C., J. Wadsworth (1994), On-the-job-search, some empirical evidence. European Economic Review 38: 385-401.
42. Rosenfeld, C. (1977), The extent of job search by employed workers. Monthly Labor Review 100: 39-43.
43. Silverberg, G., B. Verspagen (1993), Collective learning, innovation and growth in a boundedly rational, evolutionary world. Journal of Evolutionary Economics 4: 207-226.
44. Simon, H.A. (1978), Rationality as process and as product of thought. American Economic Review 68: 1-16.
45. Simon, H.A. (1983), Reasons in Human Affairs. Stanford University Press, Stanford.
46. Small, I. (1997), The cyclicality of mark-ups and profit margins: Some evidence for manufacturing and services. Bank of England Working Paper.
47. Statistisches Bundesamt (2004), Volkswirtschaftliche Gesamtrechnung.
48. Statistisches Bundesamt (2006), Fachserie 18, 1.4 Inlandsproduktberechnung - Detaillierte Jah-resergebnisse 2006.
49. Tesfatsion, L., K.E. Judd (2006), Handbook of Computational Economics II: Agent-Based Computational Economics. North-Holland.
50. Wersching, K. (2007), Agglomeration in an innovative and differentiated industry with heterog-neous knowledge spillovers. Journal of Economic Interactions and Coordination 2: 1-25.
51. Windrum, P., G. Fagiolo, A. Moneta (2007), Empirical validation of agent-based models: Alternatives and prospects. Journal of Artificial Societies and Social Simulation 10(2).