Teaching teachers in effectual entrepreneurship

Entrepreneurship and entrepreneurship education is seen by all kind of people to be important for economic growth. Teaching entrepreneurship needs another approach. Active learning and the constructivism is mostly seen as essential. Other elements that are influencing the teaching process are the competences, the culture and the teacher. So the teacher must be capable of using other methods and theory as he is used to. Effectuation, constructivism and andragogy are the key elements for the training of entrepreneurial teachers. From that perspective there has been made an education program that will start in September 2013 for teachers at universities of applied science. Until that time there are being held some minor experiments on parts of the program

A Critical Review of "Automatic Patch Generation Learned from Human-Written Patches": Essay on the Problem Statement and the Evaluation of Automatic Software Repair

At ICSE'2013, there was the first session ever dedicated to automatic program repair. In this session, Kim et al. presented PAR, a novel template-based approach for fixing Java bugs. We strongly disagree with key points of this paper. Our critical review has two goals. First, we aim at explaining why we disagree with Kim and colleagues and why the reasons behind this disagreement are important for research on automatic software repair in general. Second, we aim at contributing to the field with a clarification of the essential ideas behind automatic software repair. In particular we discuss the main evaluation criteria of automatic software repair: understandability, correctness and completeness. We show that depending on how one sets up the repair scenario, the evaluation goals may be contradictory. Eventually, we discuss the nature of fix acceptability and its relation to the notion of software correctness.Comment: ICSE 2014, India (2014

Periodic Heteroskedastic RegARFIMA models for daily electricity spot prices

In this paper we consider different periodic extensions of regression models with autoregressive fractionally integrated moving average disturbances for the analysis of daily spot prices of electricity. We show that day-of-the-week periodicity and long memory are important determinants for the dynamic modelling of the conditional mean of electricity spot prices. Once an effective description of the conditional mean of spot prices is empirically identified, focus can be directed towards volatility features of the time series. For the older electricity market of Nord Pool in Norway, it is found that a long memory model with periodic coefficients is required to model daily spot prices effectively. Further, strong evidence of conditional heteroskedasticity is found in the mean corrected Nord Pool series. For daily prices at three emerging electricity markets that we consider (APX in The Netherlands, EEX in Germany and Powernext in France) periodicity in the autoregressive coefficients is also stablished, but evidence of long memory is not found and existence of dynamic behaviour in the variance of the spot prices is less pronounced. The novel findings in this paper can have important consequences for the modelling and forecasting of mean and variance functions of spot prices for electricity and associated contingent assetsGARCH, Long Memory

Atomic spectroscopy with the shock tube

Spectroscopy of light atoms and ions and transition probability determinations using gas-driven shock tub

Drivers of growth accelerations:What role for capital accumulation?

Economic growth is often episodic but the ultimate drivers of such growth accelerations are not understood very well. We therefore take a different perspective and investigate what happens to production factors and productivity before, during, and after 156 growth accelerations that we identify for 148 countries between 1950 and 2019. We are particularly interested in the role that physical capital accumulation can play in this context, given recent interest in investment surges and several investment-led growth models.Our results show that physical capital accumulation accounts on average for 9% of the increase in the growth rate during an acceleration, with heterogeneity across regions, time periods, and the economies’ capital-output ratio. While growth accelerations are mainly driven by improvements in total factor productivity, we find that physical capital accumulation is an important factor for the sustainability of accelerations. Those findings are robust to various techniques for identifying growth accelerations and growth decompositions. They suggest that large “investment-led” growth accelerations are unlikely but also confirm that growth episodes that are not accompanied by solid investment patterns are likely to run out of steam