Understanding how variation in weather and climate conditions impact productivity, performance and learning is of crucial economic importance. Recently, studies have established that high temperatures negatively impact cognition and educational outcomes in several countries around the world. We...

We experimentally implement a dynamic public-good problem, where the public good in question is the dynamically evolving information about agents' common state of the world. Subjects' behavior is consistent with free-riding because of strategic concerns. We also find that subjects adopt more...

The auctioning of frequency has to comply with a multitude of requirements in order to guarantee a transparent and efficient process. The German Federal Network Agency (Bundesnetzagentur) has opted for a design that provides participants with information on the highest bid after each round for...

We present a dynamic lifecycle model of women's choices with respect to partnership status, labour supply and fertility when they cannot directly observe whether a given male partner is of a violent type or not. The model is estimated by the method of simulated moments using longitudinal data...

Departures from full-information rational expectation models give rise to stock price wealth effects which introduce inefficient cyclical fluctuations in the economy. Waves of optimism/pessimism affect beliefs and asset prices which influence aggregate demand through expectation-driven wealth...

This paper studies market selection in an Arrow-Debreu economy with complete markets where agents learn over misspecified models. Under model misspecification, standard Bayesian learning loses its formal justification and biased learning processes may provide a selection advantage. However,...

Price-level targeting (PLT) is optimal under the fully-informed rational expectations (FIRE) benchmark but lacks empirical support. Given the hurdles to the implementation of macroeconomic field experiments, we utilize a laboratory group experiment - where expectations are elicited from human...

Using linked employer-employee data on labor market biographies of workers in Germany, this paper analyzes where valuable work experience is primarily acquired. It distinguishes between learning effects related to firm size and labor market size. We show that wages increase with the size of the...

Entrepreneurship education is a recent field in education. From a field mainly related to small business, it is extended towards enhancement of students' entrepreneurial attitudes and skills. It can support students in developing an independent and versatile way by growing the spirit of...

Context: Participation in Continuing Professional Development (CPD) supports the development of vocational teacher competencies. However, it is often not clear what learning methods vocational teachers use in their CPD. This study therefore investigated the CPD practices of vocational teachers...

I develop a dynamic version of the competitive search model with adverse selection in Guerrieri, Shimer and Wright (2010). My model allows for an analysis of the effects of firm learning on labor market efficiency in the presence of search frictions. I find that firm learning increases relative...

We propose a framework in order to econometrically estimate case-based learning and apply it to empirical data from twelve 2 × 2 mixed strategy equilibria experiments. Case-based learning allows agents to explicitly incorporate information available to the experimental subjects in a simple,...

We consider a market economy where two rational agents are able to learn the distribution of future events. In this context, we study whether moving away from the standard Bayesian belief updating, in the sense of under-reaction to some degree to new information, may be strategically convenient...

The behavioural finance literature attributes the persistent market misvaluation observed in real data to the presence of deviations from rational thinking of the actors involved. Cognitive biases and the use of simple heuristics can be described using expected utility maximising agents that...

We demonstrate in a laboratory experiment in which subjects play a two-player Cournot-Tullock game over hundreds of periods of varying length that full accounts of subjects' learning requires the consideration of, both, 'period time' and 'physical time.'

In experiments with economists, we measure how the evaluation of research studies depends on whether the study yielded a null result. Studies with null results are perceived to be less publishable, of lower quality, less important, and less precisely estimated than studies with statistically...

The increasing use of online labour platforms as intermediaries for finding work – known as crowdwork or gig work – is a new form of 'hybrid' (solo)self-employment that hinges on the borders of dependent and self-employment. In this study we use a novel international dataset of online...

We examine how the evaluation of research studies in economics depends on whether a study yielded a null result. Studies with null results are perceived to be less publishable, of lower quality, less important, and less precisely estimated than studies with significant results, even when holding...

The accumulation of knowledge and its application to a variety of human needs is a discontinuous process that involves innovation and change. While much has been written on major discontinuities associated, for instance, with the rise of new technologies during industrial revolutions, other...

In dynamic promotion contests, where performance measurement is noisy and ordinal, selection can be improved by biasing later stages in favor of early leaders. Even in the worst-case scenario, where noise swamps ability differences in determining relative performance, optimal bias is i) strictly...

We analyse firms' sourcing decisions under institutional uncertainty in foreign countries. Firms can reduce their uncertainty by observing offshoring firms' behaviour. The model characterises a sequential offshoring equilibrium path, led by the most productive firms in the market. With multiple...

We consider a market economy where two rational agents are able to learn the distribution of future events. In this context, we study whether moving away from the standard Bayesian belief updating, in the sense of under-reaction to some degree to new information, may be strategically convenient...

This paper studies the performance of machine learning predictions for the counterfactual analysis of air transport. It is motivated by the dynamic and universally regulated international air transport market, where ex post policy evaluations usually lack counterfactual control scenarios. As an...

Purpose: Developments in Industry 4.0 technologies and Artificial Intelligence (AI) have enabled data-driven manufacturing. Predictive maintenance (PdM) has therefore become the prominent approach for fault detection and diagnosis (FD/D) of induction motors (IMs). The maintenance and early FD/D...

We examine how the evaluation of research studies in economics depends on whether a study yielded a null result. Studies with null results are perceived to be less publishable, of lower quality, less important, and less precisely estimated than studies with significant results, even when holding...

This paper studies pricing and observational learning in a reward-based crowdfunding campaign context. The creator sets a funding target and uses different pricing strategies in order to make the project successful: menu price and other static or dynamic price strategies, such as low price, high...

COVID-19 caused significant disruption to the global education system. Early reviews of the first wave of lockdowns and school closures suggested significant learning loss in a few countries. A more recent and thorough analysis of recorded learning loss evidence documented since the beginning of...