Do Self-Reported Strategies Match Actual Behavior in a Social Preference Experiment?

According to many models, social preferences are influenced by properties of payoff distributions like the payoff to the group member who is worst off, or higher payoffs to other members possibly causing envy. In this paper, we explore if subjects in a social preference experiment consciously take these elements into account. To study this question, we performed an experiment in which subjects stated indifference values of unequal payoff distributions, and explicitly reported on the strategies they used in stating these values. This approach allows us to obtain a cardinal measure of their social preferences, and to study the impact both of subject characteristics and stated strategies on these values. Our results indicate that although experimental factors, like group composition or field of study of subjects, are significantly related to self-reported strategies, they barely have a statistically significant impact on the indifference values given. On the other hand, we find highly significant relationships between self-reported strategies and actual behavior. Furthermore, our results indicate that the salience of different payoff distribution characteristics, and the impact of different motives on actual decisions, is context dependent.     

Mediation with Incomplete Information: Approaches to Suggest Potential Agreements

In bilateral Negotiation Analysis, the literature often considers the case of complete information. In this context, since the negotiators know the value functions of both parties, it is not difficult to calculate the Pareto efficient solutions for the negotiation. Thus rational negotiators can reach agreement on this frontier. However, these approaches are not applied in practice when complete information is not available. The research question of our work is “It is possible to help negotiators achieving an efficient solution in the absence of complete information regarding the different parameters of the model?”. We propose to derive incomplete information about the preferences of negotiators from the statements they make and the offers they exchange during the negotiation process. We present and discuss three approaches that use this information in order to help a mediator proposing a better solution than the compromise the negotiators have reached or are close to reach.     

Sex discrimination and competition in product and labour markets

Theoritical explanations for wage discrimination collapse in the long run, because competition should drive discriminations firms out of the market. In product markets with imperfect competition employes with a taste for discrimination might survive, None the less inthis case long-run efffects are also unclear, unless some monopsonistic power in the labour market is involved. Monopsony in the labour market, on the other hand, has received very little attention in the literature. The paper tries to pick up this long negleted issue, looking at the impact of concentration in output markets and local labour markets on wage discrimination by sex in Austria. As limited workers' mobility enables employers to define their own local labour markets,special attention is given to married women, whose geographical mobility is known to be very low.     

Seasonality and the valuation of commodity options

Price movements in many commodity markets exhibit significant seasonal patterns. However, given an observed futures price, a deterministic seasonal component at the price level is not relevant for the pricing of commodity options. In contrast, this is not true for the seasonal pattern observed in the volatility of the commodity price. Analyzing an extensive sample of soybean, corn, heating oil and natural gas options, we find that seasonality in volatility is an important aspect to consider when valuing these contracts. The inclusion of an appropriate seasonality adjustment significantly reduces pricing errors in these markets and yields more improvement in valuation accuracy than increasing the number of stochastic factors.     

Weak monotonicity and Bayes–Nash incentive compatibility

An allocation rule is called Bayes–Nash incentive compatible, if there exists a payment rule, such that truthful reports of agents' types form a Bayes–Nash equilibrium in the direct revelation mechanism consisting of the allocation rule and the payment rule. This paper provides a characterization of Bayes–Nash incentive compatible allocation rules in social choice settings where agents have multi-dimensional types, quasi-linear utility functions and interdependent valuations. The characterization is derived by constructing complete directed graphs on agents' type spaces with cost of manipulation as lengths of edges. Weak monotonicity of the allocation rule corresponds to the condition that all 2-cycles in these graphs have non-negative length. For the case that type spaces are convex and the valuation for each outcome is a linear function in the agent's type, we show that weak monotonicity of the allocation rule together with an integrability condition is a necessary and sufficient condition for Bayes–Nash incentive compatibility.     

Peer effects in Austrian schools

This study deals with educational production in Austria and is focused on the impact of schoolmates on students’ academic outcomes. We use PISA 2000 and 2003 data to estimate peer effects for 15 and 16 year old students. School fixed effects are employed to address the potential self-selection of students into schools and peer groups. The estimations show significant positive effects of the peer group on students’ reading achievement, and less so for mathematics. The peer effect in reading is larger for students from less favorable social backgrounds. Furthermore, quantile regressions suggest peer effects in reading to be asymmetric in favor of low-ability students, meaning that students with lower skills benefit more from being exposed to clever peers, whereas those with higher skills do not seem to be affected much.     

ENDOGENOUS GROWTH, HUMAN CAPITAL, AND INDUSTRY WAGES

Lucas' model (1988) of external effects of human capital formation is taken as a starting point for looking at the impact of human capital on wages. Even though most empirical tests of New Growth Theory are made using time-series and cross-sections of countries — with good reasons — I suggest a microeconometric approach in order to test Lucas' basic assumption of external effects of human capital. As a first step, internal effects of education are filtered out by using wage functions for individuals in Austria. In the second step, resulting industry wage premiums are regressed on industry-specific characteristics and, above all, on average human capital in the industry to account for external effects of human capital.     

Risk aversion in Entrepreneurship Panels: Measurement Problems and Alternative Explanations

In this study, we investigate the pitfalls associated with measuring risk aversion within studies of entrepreneurial behavior. First, we raise substantial concerns as to whether standard questions employed can be used to infer risk aversion among nascent entrepreneurs. In our work we show that the US, Canadian and Swedish panel study datasets do not offer evidence that entrepreneurs are more risk averse than non‐entrepreneurs. In fact, we show that the measurements used for risk aversion in these studies are not compatible with classic expected utility theory. Furthermore, our analysis reveals that probability weighting may even counteract the respondent's risk attitude. Therefore, inferring the respondent's risk attitude from choices in the panel study datasets can be misleading in the presence of probability weighting. We therefore suggest that alternative theories of decision making under risk, like prospect theory, are relevant and should be taken into account in future studies on entrepreneurship. Copyright © 2017 John Wiley & Sons, Ltd.     

Labor market entry and earnings dynamics: Bayesian inference using mixtures‐of‐experts Markov chain clustering

This paper analyzes patterns in the earnings development of young labor market entrants over their life cycle. We identify four distinctly different types of transition patterns between discrete earnings states in a large administrative dataset. Further, we investigate the effects of labor market conditions at the time of entry on the probability of belonging to each transition type. To estimate our statistical model we use a model‐based clustering approach. The statistical challenge in our application comes from the difficulty in extending distance‐based clustering approaches to the problem of identifying groups of similar time series in a panel of discrete‐valued time series. We use Markov chain clustering, which is an approach for clustering discrete‐valued time series obtained by observing a categorical variable with several states. This method is based on finite mixtures of first‐order time‐homogeneous Markov chain models. In order to analyze group membership we present an extension to this approach by formulating a probabilistic model for the latent group indicators within the Bayesian classification rule using a multinomial logit model. Copyright © 2011 John Wiley & Sons, Ltd.