Tackling Labour Mismatches and Promoting Mobility in Hungary

Complete document available on OLIS in its original formatThis document and any map included herein are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. ECO/WKP(2014)34 Unclassified English -Or. English ECO/WKP(2014)34 2 OECD Working Papers should not be reported as representing the official views of the OECD or of its member countries. The opinions expressed and arguments employed are those of the author(s).Working Papers describe preliminary results or research in progress by the author(s) and are published to stimulate discussion on a broad range of issues on which the OECD works. Comments on Working Papers are welcomed, and may be sent to the Economics Department, OECD, 2 rue André-Pascal, 75775 Paris Cedex 16, France.Comment on the Papers is invited, and may be sent to OECD Economics Department, 2 rue André Pascal, 75775 Paris Cedex 16, France, or by e-mail to eco.contact@oecd.org. This document and any map included herein are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area.The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities. The use of such data by the OECD is without prejudice to the status of the Golan Heights, East Jerusalem and Israeli settlements in the West Bank under the terms of international law. © OECD (2015)You can copy, download or print OECD content for your own use, and you can include excerpts from OECD publications, databases and multimedia products in your own documents, presentations, blogs, websites and teaching materials, provided that suitable acknowledgment of OECD as source and copyright owner is given. All requests for commercial use and translation rights should be submitted to rights@oecd.org ECO/WKP(2014)34 3 Abstract/Résumé Determinants of Tertiary GraduationsThis paper proposes and estimates a model of demand for and supply of graduations in tertiary education, which is then used to construct forward-looking scenarios for graduation rates by country. Consistent with evidence that economic returns to education have remained high in spite of rising educational attainment levels, the paper accords a great deal of attention to developments in gross earnings at various levels of the earnings distribution, though other factors are also accounted for. The analysis shows that demand for tertiary graduations increases in per capita incomes, wage differentials between high and medium earners, and PISA scores. Supply of graduations increases in tuitions and (to a lesser extent) government funding, but also in the share of students enrolled in private institutions and PISA scores. Based on the OECD 50-year scenarios for per capita incomes and earning inequalities (Braconier et al., 2014), the estimated model is used to generate future scenarios of demand for tertiary educa...

Determinants of Tertiary Graduations

Braconier

2015

Overcoming Skills Shortages in Canada

Carey

2014

Organisation de Coopération et de Développement Économiques Organisation for Economic Cooperation and Development 15-Jul-2014 ___________________________________________________________________________________________ English-Or. English ECONOMICS DEPARTMENT OVERCOMING SKILLS SHORTAGES IN CANADA ECONOMICS DEPARTMENT WORKING PAPERS No. 1143 By David Carey OECD Working Papers should not be reported as representing the official views of the OECD or of its member countries. The opinions expressed and arguments employed are those of the author (s).

An Update of the OECD International Trade Equations

Morin¹,

Schwellnus

2014

JT03359753Complete document available on OLIS in its original format This document and any map included herein are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. ECO/WKP(2014) Working Papers describe preliminary results or research in progress by the author(s) and are published to stimulate discussion on a broad range of issues on which the OECD works.Comments on Working Papers are welcomed, and may be sent to OECD Economics Department, 2 rue André-Pascal, 75775 Paris Cedex 16, France, or by e-mail to eco.contact@oecd.org This document and any map included herein are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities. The use of such data by the OECD is without prejudice to the status of the Golan Heights, East Jerusalem and Israeli settlements in the West Bank under the terms of international law. © OECD (2014)You can copy, download or print OECD content for your own use, and you can include excerpts from OECD publications, databases and multimedia products in your own documents, presentations, blogs, websites and teaching materials, provided that suitable acknowledgment of OECD as source and copyright owner is given. All requests for commercial use and translation rights should be submitted to rights@oecd.org ECO/WKP(2014)25 3 ABSTRACT/RÉSUMÉ An update of the OECD international trade equationsThis paper provides a detailed description of recent research to re-estimate and re-specify the international trade volume and price equations that are used in the OECD Economics Department to analyse and project international trade developments. The set of countries covered by the estimations has been significantly enlarged, with estimates of the factors affecting export performance, import penetration and trade prices presented for 41 countries, including countries that have recently joined the OECD (Chile, Estonia, Israel and Slovenia) and major emerging countries (Argentina, Brazil, China, India, Indonesia, Russia and South Africa). Reflecting the heterogeneity of countries included in the estimations, procedures for grouping them have been modified to allow for country specifics as much as possible. Structural breaks over the estimation period -which now typically covers the mid-1980s to 2012 and includes the global trade collapse of 2009 -are dealt with by the flexible modelling of deterministic trends, including the allowance for several rather than single trend reversals. JEL classification codes: F14; F17