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Ivan D. Trofimov, Nazaria Md. Aris and Dickson C. D. Xuan

, C. & Setzer, R. (2007). Money and housing - evidence for the Euro area and the US. Deutsche Bundesbank Discussion Paper, Series 1: Economic Studies, No. 12/2007. Guo, M. & Wu, Q. (2013). The empirical analysis of affecting factors of Shanghai housing prices. International Journal of Business and Social Science, 4(14), 218-223. Hashim, Z. A. (2010). House price and affordability in housing in Malaysia, Akademika, 78(1), 37-46. Hoesli, M. & Hamelink, F. (1997). An examination of the role of Geneva and Zurich housing in

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Predrag Bejaković and Ruslan Stefanov

REFERENCES Albu, L. (2004). Estimating the Size of the Underground Economy in Romania. Institute of Economic Forecasting, Bucharest: Romanian Academy. Arandarenko, M. (2015a). The Shadow Economy: Challenge to Economic and Social Policy. In Krstic, G. & Schneider, F. (ed.) Formalizing the Shadow Economy in Serbia , London: Springer Open, 5-12. Arandarenko, M. (2015b). Analysis of the administrative Capacity of the Institutions in Charge of Overseeing the Operations of Business Entities. In Krstic, G. and Schneider, F. (ed.) Formalizing the

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Roberta Capello and Ugo Fratesi

-2412 Camagni, R., 2009. “Territorial Capital and Regional Competitiveness: Theory and Evidence”, in Capello R. and Nijkamp P. (eds.), Handbook of Regional Dynamics and Growth: Advances in Regional Economics, Edward Elgar, pp. 118-132 Camagni, R., (ed.) 1991a. Innovation Networks: Spatial Perspectives, Belhaven-Pinter, London Capello, R., Fratesi, U., Resmini, L., 2011. Globalization and Regional growth. Past Trends and Future Scenarios, Springer-Verlag. Cappellin, R., Nijkamp, P., (ed.) 1986. Technological Change, Employment and Spatial

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Mikołaj Herbst, Paweł Kaczmarczyk and Piotr Wójcik

), age ( Kaczmarczyk 2005 ; Kaczmarczyk and Okólski 2008 ; Gottlieb and Joseph 2006 ; Grabowska and Okólski 2009 ; Mosca and Wright 2010 ), gender ( Faggian and McCann 2007 ; Faggian, McCann and Sheppard 2006 ), marital status and family situation (Newbold 2001; Haapanen and Tervo 2011 ), migration experience ( Kodrzycki 2001 ; Kaczmarczyk 2005 ) and so on. Last but not least, in a large number of studies the importance of social capital and migrant networks responsible for lowering the risks and costs associated with spatial mobility was pointed out ( Fawcett

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Saša Petković and Snežana Sorak

REFERENCES Ács, Z.J., & Naudé, W.A. (2013). Entrepreneurship, Stages of Development and Industrialization, In Szirmai, A., Naudé W.A. & Alcorta L. (Eds). Pathways to Industrialization in the 21st Century . Oxford: Oxford University Press. Ambad, S. N. A., & Wahab, K. A. (2013). Entrepreneurial Orientation among Large Firms in Malaysia: Contingent Effects of Hostile Environments. International Journal of Business and Social Science , 4 (16), 96-107. Anderson, B.S., Kreiser, P.M., Kuratko, D.F., Hornsby, J.S., & Eshima, J. (2015

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Ekkehardt Ernst, Rossana Merola and Daniel Samaan

Comparative Analysis. OECD Social, Employment and Migration Working Paper No. 189. Paris: Organisation for Economic Co-operation and Development. Arntz M. Gregory T. Zierahn U. 2016 The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis. OECD Social, Employment and Migration Working Paper No. 189 Paris Organisation for Economic Co-operation and Development Arntz, M.; (2017): Revisiting the Risk of Automation. Economic Letters 159, 157-160. Arntz M.; 2017 Revisiting the Risk of Automation Economic Letters 159 157 160

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Katharine Hall and Dorrit Posel

temporary and permanent status in the city. But she does not imagine that her children would ever want to live permanently at the rural home, suggesting a generational shift in attachment to place, and therefore also in circular migration – the strength of the ties depends on where one grew up. 7 Discussion and conclusion Surveys have only limited ability to capture the extent of mobility between households, and the nature of fluidity in and out of households; and they therefore offer at most partial insights into family and social networks. But national household

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Kathryn Anne Edwards and Jeffrey B. Wenger

supply, all of the dependent variables that we measure are household summaries; we only need to observe one parent to capture any changes to partner behavior. Table 1 summarizes all of the matched mothers in our sample, together and separated into three age groups: working age (less than 62 years old), the retirement windo This is defined by Social Security, the early retirement age is 62 years old; and after age 70, there is no longer a financial incentive to delay claiming. (age 62-70), and retired (older than 70). We will use this grouping in subgroup analysis

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Lucian Pasca

Market Dynamics − Theory and Evidence , Working Paper, Social Science Research Network, available at http://papers.ssrn.com/sol3/papers.cfm?abstract_id=982086 Gopikrishnan, P., Plerou, V., Amaral, L.N., Meyer, M., Stanley, H.E., 1999, Scaling of the distribution of fluctuations of financial market indices , Physical Review E, 60, pg. 5305–5316, available at http://arxiv.org/pdf/cond-mat/9905305.pdf Grossman, S.J., Stiglitz, J.E., 1980, On the Impossibility of Informaționally Efficient Markets , The American Economic Review, pg. 393−408, available at

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Adam Michał Czerwiński

applications”. Kluwer Academic Publishers, Boston. Fotheringham A. Stewart Morton E. O’Kelly. 1989 “Spatial interaction models: formulations and applications” Kluwer Academic Publishers Boston [13] Haining, Robert P. 1990. “Spatial data analysis in the social and environmental sciences”. Cambridge University Press, Cambridge. Haining Robert P. 1990 “Spatial data analysis in the social and environmental sciences” Cambridge University Press Cambridge [14] Jones A.P., R. Haynes, V. Sauerzapf, S.M. Crawford, H. Zhao, and D. Forman. 2008. “Travel