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siblings share (i.e., family background and neighborhood effects). The average is 28 percent. Hence, entrepreneurship is far …Promoting entrepreneurship has become an increasingly important part of the policy agenda in many countries. The … success of such policies, however, rests in part on the assumption that entrepreneurship outcomes are not fully determined at …
Persistent link: https://www.econbiz.de/10011539965
We examine how the gender of a sibling affects earnings, education and family formation. Identification is complicated … with sisters obtain lower education and give birth earlier than women with brothers. Our analysis shows that the family …
Persistent link: https://www.econbiz.de/10010532574
We analyse the evolving impact of family background on educational attainment using administrative data on 2 … around 0.34 in the birth cohorts analysed. The intergenerational elasticity and intergenerational correlation also appear to … be roughly stable across cohorts. Despite a reduction in overall education inequality, we conclude that family background …
Persistent link: https://www.econbiz.de/10014380703
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robust across countries and time periods. Typically, the correlation coefficients at long-run horizons are significantly … negative and the correlation coefficients at short-run horizons are substantially higher. Additionally, there is evidence of … positive correlation at short-run forecast horizons for some countries. …
Persistent link: https://www.econbiz.de/10011327530
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Persistent link: https://www.econbiz.de/10009784937
We introduce a new fractionally integrated model for covariance matrix dynamics based on the long-memory behavior of daily realized covariance matrix kernels and daily return observations. We account for fat tails in both types of data by appropriate distributional assumptions. The covariance...
Persistent link: https://www.econbiz.de/10011531139
the variance matrix. Monte Carlo evidence for parameter estimation based on different small sample sizes is provided. We …
Persistent link: https://www.econbiz.de/10011520881
from this basic requirement by presenting an algorithm for nonparametric estimation of conditional quantiles when both the … results show excellent estimation accuracy in terms of bias, mean squared error, and confidence interval coverage. Typically …)conditional quantile kernel estimation of multivariate data. With this in mind, we illustrate the proposed methodology with an application …
Persistent link: https://www.econbiz.de/10011382707