Preisdeterminanten des Stromgroßhandels in Frankreich

This article provides a model-based analysis of the French spot market for electricity. Therefore a cost optimizing dispatch model is applied in order to derive a broader understanding of the liberalized electricity market in France considering empirical spot market prices in 2009. At first analysis of market structure and power plant mix is done in accordance with the european framework. The state of supply side competition is suggested as well. Due to the high portion of nuclear energy in the French energy mix the technical availability forecast of the plants plays a crucial role during the price formation on the wholesale market. As a result prices determined by the model are highly correlated with the French spot market. The results suggest a functioning pricing mechanism although deviations occur by ex-ante uncertain demand or unscheduled non-usability of generating units.     

Capital regulation, bank competition, and financial stability

We analyze capital requirements if banks compete for loans and deposits. Banks and firms are subject to a risk-shifting problem. The ambiguous effect of competition on banks’ risk-taking translates into an ambiguous effect of capital requirements on financial stability.     

Revisiting the sectoral Linder hypothesis: Aggregation bias or fixed costs?

This paper reassesses and revisits the Sectoral Linder Hypothesis due to Hallak, which posits that similar tastes for quality lead to more intensive trade between similar countries at the sectoral level. First, the measure of demand similarity used in this paper is based on the distribution of income estimated from household surveys. The paper finds that a similarity measure based on the income distribution produces stronger results than the traditionally used measure based on GDP per capita. Moreover, the country/product level extensive margin is taken into account. This is important because similarity is likely to affect the fixed costs of trade and the fixed costs of alternative means of servicing a market (i.e., licensing and FDI). Fixed costs, in turn, affect the number and average productivity of firms that engage in bilateral trade and hence the overall volume of trade. This paper employs the method by Helpman et al. to control for the extensive margin. Heteroskedasticity is addressed using a feasible generalized least squares (FGLS) approach. The findings show that once controlling for the effect of similarity on the extensive margin, the Linder hypothesis holds at more aggregate levels. Other robustness checks suggest that results are not confined to products that are vertically differentiated.     

Fair ranking of teachers

Economic theory suggests that it is optimal to reward teachers depending on the relative performance of their students. We develop an econometric approach, based on stochastic frontier analysis, to construct a fair ranking that accounts for the socio-economic background of students and schools and the imprecision inherent in achievement data. Using German PIRLS (IGLU) data, we exploit the hierarchical structure of the data to estimate the efficiency of each teacher. A parsimonious set of control variables suffices to get a “fair” estimate of unobserved teacher quality. A Hausman–Taylor type estimator is the preferred estimator because teacher efficiency and some exogenous variables may be correlated.     

THE DYNAMICS OF REAL EXCHANGE RATES: A RECONSIDERATION

In this paper we offer a bootstrap‐based version of the Cox specification test for non‐nested hypothesis to discriminate between ESTAR and MSAR models. Both models are commonly used for modeling real exchange rates dynamics. We show that the test has good size and power properties in finite samples. In an application, we analyze several major real exchange rates to shed light on the question of which model describes these processes best. This allows us to draw conclusions about the driving forces of real exchange rates. Copyright © 2013 John Wiley & Sons, Ltd.     

Religion and International Trade: Does the Sharing of a Religious Culture Facilitate the Formation of Trade Networks?

A bstract .   Despite interest in the influence of religion on economic activity by early economists like Adam Smith, modern economists have done little research on the subject. In light of the apparent religious fervor in many parts of the global economy, economists' seeming lack of interest in studying how religious cultures enhance or retard the globalization of economic activity is especially surprising. This article makes a contribution toward filling this void by examining how religion affects international trade. Specifically, we examine whether the sharing of religious cultures enables the formation of exchange networks that can overcome the failure or nonexistence of other social and economic institutions necessary for completing complex international transactions. We apply an expanded gravity model of international trade to control for a variety of factors that determine trade, and we use two recently developed regression methods, scaled OLS and nonlinear least squares, to exploit the model to its fullest. We find that the sharing of Buddhist, Confucian, Hindu, Eastern Orthodox Catholic, and Protestant cultures by people in different countries has a significantly positive influence on bilateral trade, all other things equal. The sharing of Roman Catholic culture has a significantly negative influence on bilateral trade, and the sharing of Islamic and Judaic cultures neither promotes nor discourages international exchange. These results suggest that some religious cultures are more conducive than others for forming international trade networks.     

Regression analysis on serial dilution data from virus validation robustness studies

To ensure the safety of plasma-derived medicinal products, the Dutch Blood Supply Foundation (Sanquin) performs virus validation experiments. Data from these experiments are based on serial dilution assays. Regression analysis on assay data faces several problems: only a small number of data points are available, data contain censoring and are subject to sampling error. Furthermore, the process variability inherent to the experiments is not evident. In this paper we address these problems by introducing a regression model for serial dilution data and by analyzing how validation experiments and simulation techniques can help elucidate various sources of variability the experiments are subject to. These are then incorporated into the regression model.     

Reanalyzing Zero Returns to Education in Germany

Pischke and von Wachter (Review of Economics and Statistics 2008; 90 (3): 592–598) find zero earnings returns to compulsory schooling in the basic school track in Germany. We reanalyze their study using a different dataset. In an extension, we use additional instruments which allow estimation of heterogeneous effects for different groups of compliers. We can confirm the previous result and also find zero returns for other compliers in higher track schools. Moreover, we do not find a causal effect of schooling on cognitive skills. This is in line with a potential reason Pischke & von Wachter (2008) give for their result, namely that basic skills are learned earlier in Germany and additional years of schooling are no longer effective. Copyright © 2015 John Wiley & Sons, Ltd.