La Hacienda Real de Castilla en el reinado de Felipe II
In: The economic history review, Band 16, Heft 3, S. 617
ISSN: 1468-0289
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In: The economic history review, Band 16, Heft 3, S. 617
ISSN: 1468-0289
In: The economic history review, Band 14, Heft 3, S. 587
ISSN: 1468-0289
In: IZA journal of European Labor Studies, Band 5, Heft 1
ISSN: 2193-9012
In: Journal of population economics: international research on the economics of population, household, and human resources, Band 26, Heft 2, S. 719-749
ISSN: 1432-1475
This paper analyzes the existence of short- and long-term intergenerational correlation of employment and self-employment in European countries, using data from the European Union Statistics on Income and Living Conditions. Using longitudinal data for the period 2003-2016, fixed effect estimates show a significant short-term correlation between the current employment status of parents and that of their children. However, short-term correlation of self-employment seems to be driven only by father-son correlations. Conversely, using the special module on Intergenerational Transmissions for the year 2011, estimates show a strong and significant correlation between respondents' self-employment status, and that of their parents when respondents were 14 years old. This suggests that self-employment decisions are not related to short-term family labor supply decisions, but to long-term intergenerational transmission.
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In: Children and youth services review: an international multidisciplinary review of the welfare of young people, Band 143, S. 106692
ISSN: 0190-7409
In: The journal of development studies, Band 53, Heft 6, S. 805-825
ISSN: 1743-9140
In: The journal of development studies: JDS, S. 1-21
ISSN: 0022-0388
In this paper, we analyze how forced displacements caused by violent conflicts affect the wages of displaced workers in Colombia, a country characterized by a long historical prevalence of violent conflicts between the government, the militia group (FARC), drug trafficking, and other crime that affect hundreds of people, forcibly displaced to other regions of the country. Using data from the Quality of Life Survey (2011-2014), we analyze differences in wages between those who were forced to move to other regions, and those who were not forced to move. In our empirical strategy, we take into account that those who were displaced may have characteristics that differ from those who were not forced, and we apply Propensity Score Matching techniques to consider forced displacements exogenous to the individuals. We apply different matching algorithms, and find that forced displacement decreases between 6% and the 22% the wages of males, and between 17% and 37% the wages of females, compared to their non-displaced counterparts. Thus, forced displacements result in poorer labor market outcomes, and the government should explore how public policies may help to alleviate the negative consequences of forced displacements as first step to reduce wage inequalities originated by these conflicts.
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In this paper, we propose an algorithmic approach based on resampling and bootstrap techniques to measuring the importance of a variable, or a set of variables, in econometric models. This algorithmic approach allows us to check the real weight of a variable in a model, avoiding the biases of classical tests, and to select the more powerful variables, or more relevant models, in terms of predictability, reducing dimensions. We apply this methodology to the Global Entrepreneurship Monitor data for the year 2014, and find that innovation and new technologies, help others with their business, and that entrepreneurial education at University and the availability of government subsidies, are among the most important predictors for entrepreneurial behavior.
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We propose an index to measure the degree of ability or desire of the population in a given country to have children, via an analysis of certain factors that may have a positive or negative influence on the fertility rate of that country. Using data for the twenty-eight countries of the European Union, and Principal Components Analysis, we construct the International Multidimensional Fertility Index as a combination of four dimensions: (1) Economy and family, (2) Attitudes and habits, (3) Work–Life Balance, and (4) Policy, along with nineteen distinct variables. We find that Denmark, the Netherlands, and Luxembourg are among the countries with the highest value of the index, and they also have high fertility rates within the EU. At the other end of the spectrum, Latvia, Cyprus, and Greece, are ranked in the last positions according to our index, countries that also present low values in their fertility rates. We also find a positive correlation between the value of our index and country fertility rates, an indication that our index may be capturing country differences in the conditions for bearing children, with higher values of the index indicating better conditions for childbirth and childrearing. To the extent that international data becomes available, our methodology will allow for the construction of international rankings, helpful in identifying cross-country differences in the conditions for fertility.
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In: Reproductive sciences: RS : the official journal of the Society for Reproductive Investigation, Band 30, Heft 8, S. 2547-2553
ISSN: 1933-7205
The general well-being of British adolescents has been the topic of considerable debate in recent years, but too often this is based on myth rather than fact. Are today's young people more stressed, anxious, distressed or antisocial than they used to be? What does research evidence tell us about the adolescent experience today and how it has changed over time? And how do trends in adolescent well-being since the 1970s relate to changes in education, leisure, communities and family life in that time? This unique volume brings together the main findings from the Nuffield Foundation's Changing Adolescence Programme and explores how social change may affect young people's behaviour, mental health and transitions toward adulthood. As well as critiquing research evidence, which will be of interest to a wide academic audience, the book will inform the wider debate on this subject among policy makers and service providers, voluntary organisations and campaign groups
We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; CONICYT, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF, DNSRC and Lundbeck Foundation, Denmark; IN2P3-CNRS, CEADSM/IRFU, France; GNSF, Georgia; BMBF, HGF, and MPG, Germany; GSRT, Greece; RGC, Hong Kong SAR, China; ISF, I-CORE and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; FOM and NWO, Netherlands; RCN, Norway; MNiSW and NCN, Poland; FCT, Portugal; MNE/IFA, Romania; MES of Russia and NRC KI, Russian Federation; JINR; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZS, ˇ Slovenia; DST/NRF, South Africa; MINECO, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, the Canada Council, CANARIE, CRC, Compute Canada, FQRNT, and the Ontario Innovation Trust, Canada; EPLANET, ERC, FP7, Horizon 2020 and Marie Sk lodowska-Curie Actions, European Union; Investissements d'Avenir Labex and Idex, ANR, Region Auvergne and Fondation Partager le Savoir, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF; BSF, GIF and Minerva, Israel; BRF, Norway; the Royal Society and Leverhulme Trust, United Kingdom. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN and the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (U.K.) and BNL (U.S.A.) and in the Tier-2 facilities worldwide.
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