The 26 references in paper Christopher F. Baum, Hans Lööf, Andreas Stephan (2018) “Economic impact of STEM immigrant workers” / RePEc:boc:bocoec:962

1
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2
Baltagi, B. H. (2013),Econometric Analysis of Panel Data, 5th edn, John Wiley &
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3
Sons, Chichester.
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4
Basso, G. & Peri, G. (2015), The association between immigration and labor market outcomes in the United States, Technical report, IZA.
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5
Bound, J., Braga, B., Golden, J. M. & Khanna, G. (2015), ‘Recruitment of foreigners in the market for computer scientists in the United States’,Journal of labor economics33(S1), S187–S223.
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6
Breschi, S., Lissoni, F. & Temgoua, C. N. (2016), Migration and innovation: a survey of recent studies,in‘Handbook on the Geographies of Innovation’, Edward
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7
Elgar Publishing, pp. 382–398.
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8
Bush, V. (1945),Science, the endless frontier: A report to the President, US Government. Printing Office.
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9
Card, D. (2009), ‘Immigration and inequality’,American Economic Review99(2), 1– 21.
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10
Dustmann, C., Fabbri, F. & Preston, I. (2005), ‘The impact of immigration on the british labour market’,The Economic Journal115(507), F324–F341.
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11
Hunt, J. & Gauthier-Loiselle, M. (2010), ‘How much does immigration boost innovation?’,American Economic Journal: Macroeconomics2(2), 31–56.
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12
Jones, C. I. (1995), ‘Time series tests of endogenous growth models’,Quarterly Journal of Economics110(2), 495–525.
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13
Mundlak, Y. (1978), ‘On the pooling of time series and cross section data’,Econometrica46(1), 69–85.
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14
URL:http:// www.jstor.org/stable/1913646
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15
Ottaviano, G. I. & Peri, G. (2012), ‘Rethinking the effect of immigration on wages’, Journal of the European Economic Association10(1), 152–197.
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16
Pekkala Kerr, S. & Kerr, W. R. (2013), ‘Immigration and employer transitions for
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17
STEM workers’,American Economic Review103(3), 193–97.
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18
Peri, G., Shih, K. & Sparber, C. (2015), ‘STEM workers, H-1B visas, and productivity in US cities’,Journal of Labor Economics33(S1), S225–S255.
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19
Peri, G. & Sparber, C. (2009), ‘Task specialization, immigration, and wages’,American Economic Journal: Applied Economics1(3), 135–69. 11
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20
Rothwell, J. (2013),The hidden STEM economy, Metropolitan Policy Program at Brookings.
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21
Schunck, R. (2013), ‘Within and between estimates in random-effects models: Advantages and drawbacks of correlated random effects and hybrid models’,Stata Journal13(1), 65–76.
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22
URL:http:// www.stata-journal.com/article.html?article=st0283
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23
Schunck, R. & Perales, F. (2017), ‘Within- and between-cluster effects in generalized linear mixed models: A discussion of approaches and the xthybrid command’,Stata Journal17(1), 89–115.
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24
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25
Siegel, D. & Griliches, Z. (1992), Purchased services, outsourcing, computers, and productivity in manufacturing,in‘Output measurement in the service sectors’, University of Chicago Press, pp. 429–460.
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26
Wooldridge, J. M. (2010),Econometric Analysis of Cross Section and Panel Data, 2nd edn, Cambridge and London: MIT Press. 12 A Tables
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