Annex F. Creative occupations in the US


[6] Dotzel, K. (2017), “Three essays on human capital and innovation in the United States”, Chapter 3, Graduate School of the Ohio State University.

[9] Eurostat (n.d.), Community Innovation Survey (CIS),

[4] Eurostat (n.d.), European Union Labour Force Survey (EU-LFS), European Union,

[10] Florida, R. (2002), The Rise of the Creative Class, Basic Books, New York.

[1] Fortin, N., T. Lemieux and S. Firpo (2011), “Decomposition methods in economics”, in Handbook of Labor Economics, Elsevier,

[2] Jann, B. (2008), “The Blinder–Oaxaca decomposition for linear regression models”, The Stata Journal: Promoting Communications on Statistics and Stata, Vol. 8/4, pp. 453-479,

[3] Oaxaca, R. (1973), “Male-female wage differentials in urban labor markets”, International Economic Review, Vol. 14/3, pp. 693-709, (accessed on 2 December 2020).

[5] OECD (n.d.), OECD Regional Demography (database), OECD, Paris,

[8] PATSTAT (n.d.), European Patent Office, (accessed on  2021).

[11] USDA ERS (2020), Documentation, U.S. Department of Agriculture Economic Research Service, (accessed on 3 November 2021).

[7] Wojan, T. (2021), “An occupational approach for analyzing regional invention”, National Center for Science and Engineering Statistics,

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