Pricing and capacity provision in electricity markets: an experimental study

The creation of adequate investment incentives has been of great concern in the restructuring of the electricity sector. However, to achieve this, regulators have applied different market designs across countries and regions. In this paper we employ laboratory methods to explore the relationship between market design, capacity provision and pricing in electricity markets. Subjects act as firms, choosing their generation capacity and competing in uniform price auction markets. We compare three regulatory designs: (1) a baseline price cap system that restricts scarcity rents, (2) a price spike regime that effectively lifts these restrictions, and (3) a capacity market that directly rewards the provision of capacity. Restricting price spikes leads to underinvestment. In line with the regulatory intention both alternative designs lead to sufficient investment albeit at the cost of higher energy prices during peak periods and substantial capacity payments in the capacity market regime. To some extent these results confirm theoretical expectations. However, we also find lower than predicted spot market prices as sellers compete relatively intensely in capacities and prices, and the capacity markets are less competitive than predicted.     

Buyer Subsidies in an Equilibrium Model of Price Dispersion

Abstract. We present a model of equilibrium price dispersion in which a per-unit subsidy to buyers can reduce average prices. The reason is that subsidies have two effects on average prices that work in opposite directions. First, subsidies raise buyers' willingness-to-pay, and by itself this causes firms to charge higher prices. However, since a higher willingness-to-pay lowers the relative cost of search, subsidies also induce more search. This creates a second effect that puts pressure on firms to reduce prices. We show that the second effect can dominate, thus causing an overall reduction in average price.     

On the Causal Links Between FDI and Growth in Developing Countries

We analyse the Granger causal relationships between foreign direct investment (FDI) and GDP in a sample of 31 developing countries covering 31 years. Using estimators for heterogeneous panel data we find bi‐directional causality between the FDI‐to‐GDP ratio and the level of GDP. FDI has a lasting impact on GDP, while GDP has no long‐run impact on the FDI‐to‐GDP ratio. In that sense FDI causes growth. Furthermore, in a model for GDP and FDI as a fraction of gross capital formation (GCF) we also find long‐run effects from FDI to GDP. This finding may be interpreted as evidence in favour of the hypotheses that FDI has an impact on GDP via knowledge transfers and adoption of new technology.     

Public health insurance and optimal income taxation

If individuals differ not only in their inherent capacity to earn income, but also in the probability that they will fall ill, can subsidized public health insurance be justified on the grounds that it serves as an efficient tool to redistribute welfare? This question is analyzed in a model where the social welfare function is a weighted average of individual expected utilities, and where taxation is by a linear income tax. The answer is ‘yes’, except in certain special cases.     

Structured,Qualitative Comparison

This article defines qualitative data as representations of human acts and utterances, conventionally analysed in the form of long, coherent texts. The purpose of qualitative research is to interpret the actors' understandings and intentions.On the background of this definition, I make a distinction between variable-coding and theme-coding and between code-oriented and content-oriented analysis. Variable-coding of the text-content should be avoided, since this implies reducing multi-dimensional qualitative data to single-dimensional data. However, variable-coding of background-information can be used together with theme-coding of the text-content without corrupting the qualitative data. I call this approach structured, qualitative comparison. In that way it is possible to retain the many levels of meaning of qualitative data throughout the research-process, while focusing on the importance of macro-variables or scope-conditions, which indicate the potential area of validity of the findings.By examples from a comparison of Norwegian and German factories, I demonstrate the usefulness of such a content-oriented analysis-style for qualitative research, as well as for combining qualitative and quantitative data. In this way, the basic characteristics of qualitative data are preserved throughout the research-process.     

Trust and growth: a shaky relationship

We conduct an extensive robustness analysis of the relationship between trust and growth by investigating a later time period and a bigger sample than in previous studies. In addition to robustness tests that focus on model uncertainty, we systematize the investigation of outlier influence on the results by using the robust estimation technique Least Trimmed Squares. We find that when outliers (especially China) are removed, the trust-growth relationship is no longer robust. On average, the trust coefficient is half as large as in previous findings.      

Counterintuitive number effects in experimental oligopolies

Recent theoretical research on oligopolistic competition suggests that under certain conditions prices increase with the number of competing firms. However, this counterintuitive result is based on comparative-static analyses which neglect the importance of dynamic strategies in naturally-occurring markets. When firms compete repeatedly, supra-competitive prices can become sustainable but this is arguably more difficult when more firms operate in the market. This paper reports the results of laboratory experiments investigating pricing behavior in a setting in which (static) theory predicts the counterintuitive number effect. Under a random matching protocol, which retains much of the one-shot nature of the model, the data corroborates the game-theoretic prediction. Under fixed matching duopolists post substantially higher prices, whereas prices in quadropolies remain very similar. As a result, the predicted effect is no longer observed, and towards the end the reverse effect is observed.

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Electronic Supplementary Material  The online version of this article () contains supplementary material, which is available to authorized users.      

20 years of stated preference valuation of non-timber benefits from Fennoscandian forests: A meta-analysis

Stated preference (SP) surveys have been conducted to value non-timber benefits (NTBs) from forests in Norway, Sweden and Finland for about 20 years. The paper first reviews the literature and summarises methodological traditions in SP research in the three countries. Second, a meta-regression analysis is conducted explaining systematic variation in Willingness-to-Pay (WTP). Two important conclusions emerge, with relevance for future research: (1) WTP is found to be insensitive to the size of the forest, casting doubt on the use of simplified WTP/area measures for complex environmental goods; and (2) WTP tends to be higher if people are asked as individuals rather than on behalf of their household.     

Brand-anchored discrete choice experiment (BDCE) vs. direct attribute rating (DAR): An empirical comparison of predictive validity

The image of a brand provides a key driver of brand equity. To build and control a strong brand image though, brand managers require a valid procedure to measure it. This article empirically compares the predictive validity of two measurement techniques to assess brand image: First, a brand-anchored discrete choice experiment (BDCE) which is based on a brand-anchored conjoint approach where brands serve as the levels for any attribute and which was originally introduced as ranting-based approach by Louviere and Johnson Journal of Retailing, 66, 359–382 (1990) and further extended to a BDCE by Eckert et al. International Journal of Research in Marketing, 29, 256–264 (2012). Second, a direct attribute rating (DAR) approach which is commonly used for commercial applications of brand image measurement. An empirical study using a representative sample of the German beer market shows that BDCE shows significantly higher levels of predictive validity (i.e., higher correlations with the actual market shares of the brands under investigation) than the widely used DAR method.