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	<title>Etla &#187; mobility</title>
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	<description>Elinkeinoelämän tutkimuslaitos</description>
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		<title>Conceptualising Mobility</title>
		<link>http://www.etla.fi/en/publications/dp1218-en/</link>
		<comments>http://www.etla.fi/en/publications/dp1218-en/#comments</comments>
		<pubDate>Wed, 11 Aug 2010 11:00:00 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Publications]]></category>
		<category><![CDATA[Discussion Papers]]></category>
		<category><![CDATA[mobile communication]]></category>
		<category><![CDATA[mobility]]></category>
		<category><![CDATA[network society]]></category>

		<guid isPermaLink="false">http://www.etla.fi/?p=4835</guid>
		<description><![CDATA[The information on the impact of mobility on society is plenty but scattered. A good understanding of the impact of mobility requires first an understanding of what mobility actually means. This paper lists aspects of mobility that can contribute to a useful conceptualisation. It is found that in its core mobility is about connectivity of ]]></description>
				<content:encoded><![CDATA[<p>The information on the impact of mobility on society is plenty but scattered. A good understanding of the impact of mobility requires first an understanding of what mobility actually means. This paper lists aspects of mobility that can contribute to a useful conceptualisation. It is found that in its core mobility is about connectivity of individuals. In addition mobility is more than just geographical mobility of human interactions. Mobility also has important temporal and contextual dimensions. Mobile technology has increased mobility in these dimensions and has been the driver of digitalising society into a mobile network society that connects not only individuals but also remote data and objects. There seems to be a need for an in depth conceptualisation of mobility that has to be updated along the lines of a fast moving mobile technology and mobile society</p>
<p>JEL: L96, O30<br />
Publication year: 2010<br />
Pages: 6<br />
Price: 10&euro;<br />
Language: English<br />
Discussion Papers no. 1218</p>
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		<title>Essays on the Gender Wage Gap in Finland</title>
		<link>http://www.etla.fi/en/publications/a44-en/</link>
		<comments>http://www.etla.fi/en/publications/a44-en/#comments</comments>
		<pubDate>Sat, 15 Nov 2008 11:00:00 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Publications]]></category>
		<category><![CDATA[A-series]]></category>
		<category><![CDATA[early career]]></category>
		<category><![CDATA[gender wage gap]]></category>
		<category><![CDATA[mobility]]></category>
		<category><![CDATA[type of education]]></category>
		<category><![CDATA[wage growth]]></category>

		<guid isPermaLink="false">http://www.etla.fi/?p=10644</guid>
		<description><![CDATA[This dissertation is an empirical study of the gender wage gap in Finland. Much of the dissertation focuses explicitly on the early career as it is found that the first years after labour market entry are of great importance with respect to the overall gender wage gap. The dissertation consists of three essays. The first ]]></description>
				<content:encoded><![CDATA[<p>This dissertation is an empirical study of the gender wage gap in Finland. Much of the dissertation focuses explicitly on the early career as it is found that the first years after labour market entry are of great importance with respect to the overall gender wage gap. The dissertation consists of three essays.</p>
<p>The first essay explores the early-career gender wage gap in the Finnish private sector. I find that the gender wage gap increases significantly during the first ten years after labour market entry accounting for most of the life-time increase in the gender wage gap. The more detailed analysis of the factors contributing to the early-career gender wage focuses on university graduates. This mitigates the problems caused by the most disturbing shortcoming of the data, namely the lack of information on working hours and part-time status. In Finland, part-time rates among university graduates are very low as well as the gender difference in these rates. I consider several explanations for the gender wage gap based on the human capital theory, job mobility and labour market segregation. The results suggest that about 20 to 26 per cent of the average early-career gender wage gap is explained by gender differences in qualifications considered. Of the investigated factors gender differences in the field of education and work experience matter most.</p>
<p>In the second essay, I investigate in more detail the role of university majors in explaining the gender wage gap. Using data from the Confederation of Finnish Industries, significant gender differences in majors among white-collar workers are found. These differences in education account for about 38 per cent of the gender wage gap among young white-collar workers with a bachelor-level degree after controlling for age, year, gender, region, industry and firm size. The corresponding number for young white-collar workers with a master-level degree is roughly 31 per cent. There are no considerable differences in the effects of majors between new entrants and white-collar workers having more work experience. Furthermore, similarity of the results between OLS and panel methods controlling for unobserved individual factors implies that the effect of university majors is unlikely to reflect unobserved heterogeneity. Finally, womens gains from equalizing educational distributions do not depend on the price structures used.</p>
<p>Using data from the Finnish manufacturing sector, the last essay studies the factors contributing to the gender gap in early-career wage growth. The analysis shows that the size of the gender gap in wage growth varies with mobility status, the gap being much higher when changing employers compared to within-firm wage growth. Several explanations for the gender gap in wage growth based on human capital theory and theory of compensating wage differentials are considered. However, much of the gap in wage growth remains unexplained. Further analysis documents that the female penalty in wage growth increases significantly as we move along the conditional wage growth distribution with a sharp acceleration in the gap at the top of the distribution.</p>
<p>JEL: J6, J16, J24, J31, J71<br />
Publication year: 2008<br />
Pages: 167<br />
Price: 30€<br />
Language: English<br />
ETLA A 44</p>
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		<title>Gender Differences in Early-Career Wage Growth</title>
		<link>http://www.etla.fi/en/publications/dp1093-en/</link>
		<comments>http://www.etla.fi/en/publications/dp1093-en/#comments</comments>
		<pubDate>Mon, 07 May 2007 11:00:00 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Publications]]></category>
		<category><![CDATA[Discussion Papers]]></category>
		<category><![CDATA[gender wage gap]]></category>
		<category><![CDATA[mobility]]></category>
		<category><![CDATA[wage growth]]></category>

		<guid isPermaLink="false">http://www.etla.fi/?p=4333</guid>
		<description><![CDATA[In Finnish manufacturing, the gender wage gap more than doubles during the first ten years in the labor market. This paper studies the factors contributing to the gender gap in early-career wage growth. The analysis shows that the size of the gender gap in wage growth varies with mobility status the gap being much higher ]]></description>
				<content:encoded><![CDATA[<p>In Finnish manufacturing, the gender wage gap more than doubles during the first ten years in the labor market. This paper studies the factors contributing to the gender gap in early-career wage growth. The analysis shows that the size of the gender gap in wage growth varies with mobility status the gap being much higher when changing employers compared to within-firm wage growth. Several explanations for the gender gap in wage growth based on human capital theory and theory of compensating wage differentials are considered. However, most of the gap in wage growth remains unexplained. Further analysis documents that the female penalty in wage growth increases significantly as we move along the conditional wage growth distribution with a sharp acceleration in the gap at the top of the distribution.</p>
<p>JEL: J24, J31, J6, J7<br />
Publication year: 2007<br />
Pages: 40<br />
Price: 10&euro;<br />
Language: Finnish<br />
Discussion Papers no. 1093</p>
]]></content:encoded>
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		<title>When Do Employees Leave Their Job for Entrepreneurship: Evidence from Linked Employer-Employee Data</title>
		<link>http://www.etla.fi/en/publications/dp1023-en/</link>
		<comments>http://www.etla.fi/en/publications/dp1023-en/#comments</comments>
		<pubDate>Mon, 05 Jun 2006 11:00:00 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Publications]]></category>
		<category><![CDATA[Discussion Papers]]></category>
		<category><![CDATA[entrepreneurship]]></category>
		<category><![CDATA[mobility]]></category>
		<category><![CDATA[occupational choice]]></category>

		<guid isPermaLink="false">http://www.etla.fi/?p=4051</guid>
		<description><![CDATA[Existing firms are argued to be an important source of new entrepreneurs. Yet, relatively little is known about the characteristics of firms that breed new entrepreneurs. We use a large linked employee-employer dataset to trace and characterize the types of firms from which new entrepreneurs come in Finland. We find evidence for entrepreneurial learning in ]]></description>
				<content:encoded><![CDATA[<p>Existing firms are argued to be an important source of new entrepreneurs. Yet, relatively little is known about the characteristics of firms that breed new entrepreneurs. We use a large linked employee-employer dataset to trace and characterize the types of firms from which new entrepreneurs come in Finland. We find evidence for entrepreneurial learning in smaller firms, for they spawn new entrepreneurs more frequently than larger firms. We also find that the productivity of firms and their R&amp;D-intensity are negatively related to the probability that employees transit into entrepreneurship. These results are robust to controlling for a number of employee and employer attributes.</p>
<p>JEL: G14, G31, G32<br />
Publication year: 2006<br />
Pages: 24<br />
Price: 10€<br />
Language: English<br />
Discussion Papers no. 1023</p>
]]></content:encoded>
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		<item>
		<title>Behavioral Economics of Mobility</title>
		<link>http://www.etla.fi/en/publications/dp908-en/</link>
		<comments>http://www.etla.fi/en/publications/dp908-en/#comments</comments>
		<pubDate>Thu, 15 Apr 2004 11:00:00 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Publications]]></category>
		<category><![CDATA[behavioral economics]]></category>
		<category><![CDATA[Discussion Papers]]></category>
		<category><![CDATA[hyperbolic discounting]]></category>
		<category><![CDATA[information communication technology]]></category>
		<category><![CDATA[mobile commerce]]></category>
		<category><![CDATA[mobility]]></category>
		<category><![CDATA[network externalities]]></category>

		<guid isPermaLink="false">http://www.etla.fi/?p=3647</guid>
		<description><![CDATA[Publication year: 2004 Pages: 26 Price: 10&#8364; Language: English Discussion Papers no. 908]]></description>
				<content:encoded><![CDATA[<p>Publication year: 2004<br />
Pages: 26<br />
Price: 10&euro;<br />
Language: English<br />
Discussion Papers no. 908</p>
]]></content:encoded>
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