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Camilla Jensen and Aušrytė Rastenienė

Journal, 43(3), 342-361. Berman, N. (2009). Financial crises and international trade: the long way to recovery. http://hdl.handle.net/1814/11675 Bernard, A. B., & Jensen, J. B. (2004). Why some firms export. Review of Economics and Statistics, 86(2), 561-569. Bernard, A. B., Redding, S. J., & Schott, P. K. (2007). Comparative advantage and heterogeneous firms. The Review of Economic Studies, 74(1), 31-66. Berthou, A., & Fontagné, L. (2008). The euro and the intensive and extensive margins of trade: Evidence

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Nicoleta Bărbuţă-Mişu and Fitim Deari

References Alatalo, R. (2010). Trade credit use during a financial crisis: evidence from the U.K. of a nonexisting trade credit channel, Aalto University, School of Economics. Altunok, F. (2011). Determinants of trade credit contract terms, North Carolina State University. Brennan, M.J., Maksimovic, V., Zechner, J. (1988). Vendor financing, Journal of Finance, Vol. 43, Issue 5, p. 1127-1141. Chant, E.M., Walker D.A. (1988). Small business demand for trade credit, Applied Economics, Vol. 20, p

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Greta Juodžiukynienė

. 5th ed. Chichester, UK: Wiley. Barrios, S., Iversen, P., Lewandowska, M., Setzer, R. (2009). Determinants of intra-euro area government bond spreads during the financial crisis. European Economic Paper. 388. Battistini, N., Pagano, N, Simonelli, S. (2013). Systemic risk and home bias in the euro area. European Economy - Economic Papers 494. Beber, A., Brandt, M. W., Kavajecz, K. A. (2009). Flight-to-quality or áight-to-liquidity? Evidence from the Euro-area bond market. Review of Financial Studies, vol. 22(3), pp

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Xuan Wei, Gülcan Önel, Zhengfei Guan and Fritz Roka

following wage differential equation between native (denoted by N ) and immigrant (denoted by M ) farmworkers in each age ( a ) and skill ( s ) group at time t , which is a function of relative labor supply in each skill–age–time cell (refer to Appendix A for details of the theoretical framework). (1) l n W s a t N W s a t N = − l n β s a t − 1 σ I ( l n L s a t N L s a t M ) $$ln\frac{W_{sat}^{N}}{W_{sat}^{N}}=-ln{{\beta }_{sat}}-\frac{1}{{{\sigma }_{I}}}\left( ln\frac{L_{sat}^{N}}{L_{sat}^{M}} \right)$$ where β sat reflects the efficiency of

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Leke Pula and Alban Elshani

.C., A. (1998). “Modeling the Relationship between Output and Goverment Expenditure in Canada”. Keio Economic Studies, 17-43. Afzal, M. (2006). Causality between exports, world income and economic growth in Pakistan . International Economic Journal, 63-77. Alexious, C. (2007). Unraveking the ‘Mystery’ Between Public Expenditure and Growt: Emperical Evidence from Greece. International Jornal of Economics, 21-31. Al-Faris, A. F. (2002). Public Expenditure and Economic Growth in the Gulf Co-operation Council Countries

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Miroslav Švabovič and Algirdas Miškinis

References Ahrend, R., Cournède, B., Price, R. (2008). Monetary Policy, Market Excesses and Financial Turmoil. OECD Economics Department Working Papers, No. 597, OECD. Alesina, F., Campante R., Tabellini G. (2008). Why Is Fiscal Policy Often Procyclical? Journal of the European Economic Association. Bachmann, R., Jinjui, H. Bai, N. (2013). Public Consumption Over the Business Cycle. Quantitative Economics 4/3. Benetrix, A. S., Lane, P. R. (2011). Financial Cycles and Fiscal Cycles. Trinity

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Nicholas Wilson

estimation. AIDS and Behavior, 19 1 3 – 15 Kotlikoff, L.J. and Gokhale, J. 1992. Estimating a firm’s age-productivity profile using the present value of workers’ earnings. The Quarterly Journal of Economics, 107(4): 1215-1242. Kotlikoff L.J. and Gokhale J. 1992 Estimating a firm’s age-productivity profile using the present value of workers’ earnings. The Quarterly Journal of Economics, 107 4 1215 – 1242 Lahey, J.N. 2008. Age, women, and hiring: An experimental study. Journal of Human Resources, 43(1): 30-56. Lahey J.N. 2008 Age, women

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Yigit Aydede and Atul Dar

.7% 1,504,535 42.2% 57.8% 279,505 24.3% 75.7% 270,605 University >bachelors 57.2% 43.8% 220,400 51.1% 48.9% 44,485 26.0% 74.0% 51,915 Degrees in medicine 77.6% 23.4% 20,605 70.0% 30.0% 6,360 26.8% 73.2% 13,355 Total 44.9% 55.1% 5,926,640 41.3% 58.7% 990,105 23.7% 76.3% 661,700 Notes : (i) The highest degrees associated with a field of study reported here are based on the Statistics Canada classification in the 2006 census. These are apprenticeship certificate or diploma; other

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Kathryn Anne Edwards and Jeffrey B. Wenger

.158*** 0.007 43.044 124.087 0.026 0.603 0.6 0.015 Working 0.016* 86.076* 289.249** 0.027 17.478*** 14.749*** -0.022* 0.006 37.074 95.366 0.017 0.518 0.501 0.009 State UR 0.001 -1.744 -14.385 -0.005 -0.201* -0.239** -0.003 0.002 12.277 23.863 0.004 0.081 0.077 0.003 Year & Age FE Yes Yes Yes Yes Yes Yes Yes Individual FE Yes Yes Yes Yes Yes Yes Yes N 38004 38004 38004 34229 38004 38004 38004 Note: Standard errors listed

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Effrosyni Adamopoulou, Emmanuele Bobbio, Marta De Philippis and Federico Giorgi

,156 euros in 2015. Regarding workers, we observe that the average age of employees in Italy increases from about 36 years in 1990 to 41 years in 2016; the share of women increases as well, from 30% to 36%, while, also due to the rising importance of the service sector, the share of blue collars declines from 64% to 59%. Table A1 Descriptive statistics on universe of firms paying contribution at INPS Year % of firms in industry % of firms in manufacturing wage Monthly per nominal employee Firm size N. of firms N. of employees Mean SD