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1

Berman, Eli. Implications of skill-biased technological change: International evidence. Cambridge, MA: National Bureau of Economic Research, 1997.

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2

Skill-biased technological change: Evidence from a firm-level survey. Kalamazoo, Mich: W. E. Upjohn Institute for Employment Research, 1999.

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3

Mocan, Naci H. Skill-biased technological change, earnings of unskilled workers, and crime. Cambridge, MA: National Bureau of Economic Research, 2011.

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4

Card, David E. Skill biased technological change and rising wage inequality: Some problems and puzzles. Cambridge, MA: National Bureau of Economic Research, 2002.

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5

Haskel, Jonathan. Does the sector bias of skill-biased technical change explain changing wage inequality. London: University of London, Queen Mary and Westfield College, Department of Economics, 1998.

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6

Haskel, Jonathan. Does the sector bias of skill-biased technical change explain changing wage inequality? Cambridge, MA: National Bureau of Economic Research, 1998.

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7

Berman, Eli. Is skill-biased technological change here yet ? evidence from Indian manufacturing in the 1990. [Washington, D.C: World Bank, 2005.

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8

Beaudry, Paul. Changes in U.S. wages 1876-2000: Ongoing skill bias or major technological change? Cambridge, MA: National Bureau of Economic Research, 2002.

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9

1963-, Vivarelli Marco, ed. One or many Kuznets curves?: Short and long run effects of the impact of skill-biased technological change on income inequality. Bonn, Germany: IZA, 2004.

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10

Gallie, Duncan. Technological change, gender and skill. [London]: Economic and Social Research Council., 1990.

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11

Biased technical change and economic conservation laws. New York: Springer, 2005.

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12

SatÕo, RyÕuzÕo. Biased technical change and economic conservation laws. New York: Springer, 2006.

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13

Bell, Brian D. Skill-biased technical change and wages: Evidence from a longitudinal data set. Oxford: Institute of Economics and Statistics, University of Oxford, 1996.

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14

Mohamed Nour, Samia. Technological Change and Skill Development in Sudan. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32811-4.

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15

Berman, Eli. Does factor-biased technological change stifle international convergence?: Evidence from manufacturing. Cambridge, MA: National Bureau of Economic Research, 2000.

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16

Berman, Eli. Implications of skill-based technological change: International evidence. Oxford: Institute of Economics and Statistics, University of Oxford, 1997.

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17

Mohamed Nour, Samia. Technological Change and Skill Development in Arab Gulf Countries. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01916-1.

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18

Bartel, Ann. Technological change and the skill acquisition of young workers. Cambridge, MA: National Bureau of Economic Research, 1995.

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19

He, Hui. Investment-specific technological change, skill accumulation, and wage inequality. Minneapolis, MN]: Federal Reserve Bank of Minneapolis, Research Dept., 2006.

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20

Bartel, Ann. Technological change and the skill acquisition of young workers. Washington, DC: Bureau of Labor Statistics, Office of Economic Research, 1995.

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21

Autor, David H. The skill content of recent technological change: An empirical exploration. Cambridge, MA: Massachusetts Institute of Technology, Dept. of Economics, 2001.

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22

Autor, David H. The skill content of recent technological change: An empirical exploration. Cambridge, MA: National Bureau of Economic Research, 2001.

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23

Lloyd-Ellis, Huw. Endogenous technological change and wage inequality in a skill-constrained economy. Toronto: Dept. of Economics and Institute for Policy Analysis, University of Toronto, 1995.

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24

Black, Sandra E. Explaining women's success: Technological change and the skill content of women's work. Cambridge, Mass: national Bureau of Economic Research, 2007.

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25

Robinson, P. Qualifications and the labour market in Britain: 1984-94 Skill biased change in the demand for labour or credentialism? London: Centre for Economic Performance, 1997.

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26

Manning, Alan. We can work it out: The impact of technological change on the demand for low-skill workers. London: Centre for Economic Performance, London School of Economics and Political Science, 2004.

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27

Crescendo of the virtuoso: Spectacle, skill, and self-promotion in Paris during the Age of Revolution. Berkeley: University of California Press, 1998.

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28

Berman, Eli, Rohini Somanathan, and Hong W. Tan. Is Skill-Biased Technological Change Here Yet ? Evidence From Indian Manufacturing In The 1990. The World Bank, 2005. http://dx.doi.org/10.1596/1813-9450-3761.

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29

Behar, Alberto. Endogenous Skill Bias of Technical Change and Inequality in Developing Countries. International Monetary Fund, 2013.

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30

Behar, Alberto. Endogenous Skill Bias of Technical Change and Inequality in Developing Countries. International Monetary Fund, 2013.

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31

Behar, Alberto. Endogenous Skill Bias of Technical Change and Inequality in Developing Countries. International Monetary Fund, 2013.

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32

Abbott, Philip, Finn Tarp, and Ce Wu. Structural transformation, biased technological change, and employment in Vietnam. UNU-WIDER, 2015. http://dx.doi.org/10.35188/unu-wider/2015/957-2.

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33

Bidisha, Sayema Haque, Tanveer Mahmood, and Mahir A. Rahman. Earnings inequality and the changing nature of work: Evidence from Labour Force Survey data of Bangladesh. 7th ed. UNU-WIDER, 2021. http://dx.doi.org/10.35188/unu-wider/2021/941-9.

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With structural changes in production coupled with technological progress, there have been shifts in modes of production and patterns of employment, with important consequences on task composition of occupations. This paper has utilized different rounds of Labour Force Survey data of Bangladesh and combined it with occupation network data of the United States along with its country-specific database and analysed the role of such factors on labour market outcomes. Our analysis shows a fall in the average routine intensity of tasks with no evidence of job polarization. We find a decline in earnings inequality where the decomposition analysis shows that earnings structure effect rather than characteristics effect plays a key role, with routine-task intensity of jobs and education explaining the majority of differences in earnings. Our analysis suggests that investing in education should be the highest priority, with greater emphasis on skill-biased training programmes, particularly those involving cognitive skill.
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34

Nour, Samia Mohamed Mohamed. Technological Change and Skill Development in Sudan. Springer, 2015.

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35

Nour, Samia Mohamed. Technological Change and Skill Development in Sudan. Springer London, Limited, 2013.

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36

Technological Change and Skill Development in Sudan. Springer, 2012.

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37

Technological Change and the Skill Premium: 21st Century Evidence. RAND Corporation, 2021. http://dx.doi.org/10.7249/rgsda1167-1.

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38

Nour, Samia Mohamed. Technological Change and Skill Development in Arab Gulf Countries. Springer, 2013.

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39

Nour, Samia Mohamed. Technological Change and Skill Development in Arab Gulf Countries. Springer London, Limited, 2013.

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40

Technological Change And Skill Development In Arab Gulf Countries. Springer International Publishing AG, 2013.

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41

Nour, Samia Mohamed. Technological Change and Skill Development in Arab Gulf Countries. Springer International Publishing AG, 2016.

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42

Skill and occupational change. Oxford: Oxford University Press, 1994.

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43

Metzner, Paul. Crescendo of the Virtuoso: Spectacle, Skill, and Self-Promotion in Paris During the Age of Revolution. University of California Press, 2018.

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44

Klemperer, Paul. Making a Living, Making a Life. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190658397.003.0012.

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To be a professional musician in today’s marketplace, regardless of musical style or tradition, is largely a balancing act. Time allocated to artistic development or career development all too often involves sacrificing one for the other. Faced with major economic, demographic, and technological changes in the twenty-first century, it falls to the musician to develop a multifaceted career trajectory. This includes a diverse skill set including not only fluency in various musical traditions but expertise in business, computer software, sound engineering, and copyright law as well. The musician’s balancing act thus involves choosing which educational programs will be of most help within realistic time constraints. Professional musicians who return to academia often bring a creative and practical approach to curriculum change based on their real world experiences.
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