Do Mothers Matter? A Comparison of Models of the Influence of Mothers' and Fathers' Educational and Occupational Status on Children's Educational Attainment

The first objective of this article is to clarify which model best captures the structure and trend of the influence of social origin on children's education. The second objective is to analyse how general conclusions on historical trends in educational reproduction change if we add mother's status background to the model. Six contrasting hypotheses are derived fromthe body of literature dealing with models on families' socioeconomic status. All hypotheses are translated into empirical models and their explained variance is compared. A pooled data set is used that contains data from the Netherlands, West Germany, and the USA. The Modified Dominance Model, that distinguishes the influence of the highest from thelowest status parent, has the best model fit. Regarding the second objective we see that adding the mother's influence to that of the father's does not change general conclusions on trends in educational reproduction. Over time the influence of both parents decreases continuously. However, the influence of the mother's education and occupational status on children's educational attainment is substantive.     

Schumpeter's circular flow,learning by doing and cyclical growth

A two-sector growth model with endogenous technical change is presented. Concerning technical change, we assume that it is reflected by increases in the stock of human capital which are acquired through learning by doing. As a result, it turns out that transitory or, using the Hopf bifurcation theorem, persistent oscillations of the economic variables may be the outcome. Thus we are able to show that learning mechanisms alone may be sufficient to destroy the circular flow as described by Schumpeter.     

The Effect of Aggregation Bias: An NTB‐modelling Analysis of Turkey's Agro‐food Trade with the EU

We explore how different data aggregation levels affect the gravity estimates of non‐tariff barriers (NTBs) in the agro‐food sector, and we examine their related impacts on policy simulations of an expansion to the European Union (EU) that would include Turkey. We calculate two sets of ad valorem equivalents (AVEs) of NTBs using the gravity approach to disaggregated and aggregated Central Product Classification data for 15 Global Trade Analysis Project (GTAP) agro‐food sectors. We find that the AVEs of NTBs vary substantially across products and that using aggregated data primarily results in greater effects of NTBs. In a second step, we incorporate the AVEs of NTBs into the GTAP model to evaluate Turkey's EU membership and conclude that aggregation bias has considerable effects on both the estimation of NTBs and the general equilibrium simulation results. Utilising different data aggregation levels leads to a great variability of trade costs of NTBs and, hence, to misleading trade and welfare effects.     

Network embeddedness in the internationalization of biotechnology entrepreneurs

This study investigates how entrepreneurs of biotech enterprises embed in domestic and international networks so as to internationalize. We advance a contextual framework of embeddedness of internationalizing entrepreneurs, providing a contribution (i) by synthesizing and applying existing conceptual insights from the networking literature to provide a more culturally sensitive view of getting embedded for international entrepreneurship in the biotech industry and (ii) by adding insights into the practices and (micro)processes of how and in what ways embeddedness integrates with the internationalization of biotech entrepreneurs. Our study involves six entrepreneurs from Canada, Finland, and New Zealand. Context-specific embeddedness was studied by exploring the (i) type, (ii) strength, (iii) locality, and (iv) importance of the international and national network ties among internationalizing entrepreneurs. We found differences in relation to the locality of universities and research institutes, role and type of financiers, and customer focus in internationalization. For instance, while customers were central to the embeddedness of Canadian and New Zealand entrepreneurs, Finnish entrepreneurs had no focus on their customers, but acted solely through sales channels and partners. The customer focus of New Zealand entrepreneurs was mainly international, whereas it was domestic in the case of Canadian entrepreneurs.     

Digitalisierung im Gesundheitswesen — zwischen Datenschutz und moderner Medizinversorgung

The digital transformation of the healthcare branch is important and unstoppable. The enormous possibility of digitalisation to redesign and enhance processes has been shown in other branches. Digital technologies offer the similarly large potential to improve the quality and efficiency of healthcare services. However, in terms of digitalisation, the German health system lags behind other European countries. But given a lack of available evidence, the effects of the digitalisation of the healthcare system cannot be reliably evaluated. Digital access to patient data necessitates constructive error cultures in organisations in order to limit defensive medicine. And digital access to health information necessitates individual competence in searching and using this information for participatory decision-making. As with all technological progress, information security is very important in order to gain citizens’ confidence in a digital healthcare system. Thus, it is necessary to simultaneously pursue both enhanced privacy standards and state-of-the-art medical technology.     

The power of market mood — Evidence from an emerging market

This article focuses on investor behavior and, consequently, the mood in the market. By using a self-organizing network we develop a model which tries to capture the market mood and serves as an indicator of the reasonableness of selling or purchasing securities. In this sense, the final result of this model is the same as in the model-type prediction of future stock prices, with the only exception being that one is not required to know the concrete future values of the selected security. This will indirectly support the hypothesis that psychological factors are an important (if not key) market driving force.     

Sorting it out: pile sorting as a mixed methodology for exploring barriers to cancer screening

We discuss a mixed methodology for analyzing pile sorting data. We created a list of 14 barriers to colon cancer screening and recruited 18, 13, and 14 participants from three American Indian (AI) communities to perform pile sorting. Quantitative data were analyzed by cluster analysis and multidimensional scaling. Differences across sites were compared using permutation bootstrapping. Qualitative data collected during sorting were compiled by AI staff members who determined names for the clusters found in quantitative analysis. Results showed five clusters of barriers in each site although barriers in the clusters varied slightly across sites. Simulation demonstrated type I error rates around the nominal 0.05 level whereas power depended on the numbers of clusters, and between and within cluster variability.     

Cyclically oscillating product quality: A simple model of the product life cycle

This paper presents a dynamic model of the firm, where the firm can exert influence on demand by setting the price and by controlling the quality index. Assuming profit maximization, it is shown by means of the Hopf Bifurcation theorem that persistent oscillations of the variables may occur if there is positive growth at the steady state together with a high discount rate. Oscillations may also occur if the influence of an additional unit of the quality index on demand and price is sufficiently large, thus yielding a special version of the product life cycle. A numerical example is used in order to illustrate the results derived in the general framework. Valuable comments from an anonymous referee are gratefully acknowledged.