The effect of education, family size, unemployment and childcare availability on birth stopping and timing

Using data from Portugal’s Fertility and Family Survey, I analyze child- bearing decisions up to the third birth using a split-population (SP) model. The advantage of this approach is the separability of the covariates’ impact on birth tim- ing and birth stopping. This paper is the first to apply an SP model to investigate the effect of unemployment and the availability of childcare. I also address how educa- tion, family size, age at previous birth of the woman and sex composition of existing children influence childbearing decisions, and provide empirical support for each of these. Comparing these with estimates obtained using survival models that do not include a regression on birth stopping suggests that the results of the latter tend to be unreasonable.info:eu-repo/semantics/publishedVersio

Poisson limit of an inhomogeneous nearly critical INAR(1) model

An inhomogeneous first--order integer--valued autoregressive (INAR(1)) process is investigated, where the autoregressive type coefficient slowly converges to one. It is shown that the process converges weakly to a Poisson or a compound Poisson distribution.Comment: Latex2e pdfeTex Version 3, 22 pages, submitted to ACTA Sci. Math. (Szeged

Az egyetemi szabadalmaztatás intézményi és regionális befolyásoló tényezői Európában

Over the past 30 years universities have been increasingly considered as key instruments of regional economic development policy in many countries of the World. Contrary to the US where studying the entire universe of academic institutions is a real possibility, thanks to the availability of regularly collected nation-wide information on all universities, in Europe no such coordinated data collection efforts are in existence. This is why the EUMIDA database constitutes such a pioneering work. In this paper we take advantage of the availability of the EUMIDA data for scientific investigations. We selected to focus on one specific, widely promoted form of academic entrepreneurship: university patenting. Following what the literature teaches us about the likely institutionaland regional level impacts on academic entrepreneurship we utilize EUMIDA information to build as large a sample as possible to study European-wide tendencies of university patenting. Regional level impacts are investigated at the NUTS 3 level, which is in itself a novelty in the literature. This lower level of data aggregation opens the possibility to get closer to the spatial level of metropolitan areas where university-industry interactions most probably take place

Monocular estimation of 3D poses from a distance

Most 3D pose estimators only estimate egocentric coordinates where the body is centred at the origin. This is suitable for scenes with a single person but for images with interacting persons it is insufficient. We propose a monocular depth estimator for telephoto lenses to estimate 3D coordinates centred at the camera. Our method fuses a depth map predictor and a relative 3D pose estimator by means of a 3-layer neural network. We compare the algorithm with the state-of-the-art method and show a 19% improvement