Through Trial and Error to Collusion*

In this article we study a very simple trial and error learning process in the context of a Cournot oligopoly. Without any knowledge of the payoff functions players increase, respectively decrease, their quantity as long as this leads to higher profits. We show that despite the absence of any coordination or punishing device this process converges to the joint‐profit‐maximizing outcome.     

Shrouding Add‐On Information: An Experimental Study*

We explore how increased competition affects firms’ obfuscation strategies in a laboratory experiment. Firms sell a base good and an add‐on product. Besides choosing the base‐good price, sellers take an action that mimics the effects of shrouding the add‐on product. Shrouding is an equilibrium but an unshrouding equilibrium coexists. In our experiment, more competition matters, in that only duopolistic markets are frequently shrouded whereas four‐firm markets are not. With repeated interaction, shrouding rates do not increase. However, the opportunities to shroud facilitate tacit collusion on the base‐good price for the duopolies: the unshrouding equilibrium serves as a credible punishment if deviations occur.     

Improving footprint calculations of small open economies: combining local with multi-regional input–output tables

In a small, open and resource-poor economy, import and export dependency have an ever-growing impact on local policy decisions, which makes local (environmental) policy-makers increasingly depend on global data. This increases the interest in models that link local production and consumption data to global production, trade and environmental data. The recent increase in availability of global environmentally extended multi-regional input-output tables (EE-MRIO tables) provides an opportunity to link them with existing local environmentally extended input-output tables (EE-RIO tables). These combined tables make it possible (1) to analyse the links between local and global production and consumption and (2) to study global value chains, material use and environmental impacts simultaneously. However, estimations using input-output (I–O) analyses contain errors due to imperfect databases. In this article the magnitude of specification, aggregation and time errors are estimated and compared. The results show the need to combine local datasets with multi-regional ones and show that highest detailed (country and sector levels) as well as time series of I–O tables are the way forward for using I–O analyses in local policy-making. The paper provides guidance on trading off investments in model adoption and/or extension and the reliability of estimation results.     

Money Allocation to Out-of-Home Leisure Activities and the Organization of These Activities in Time and Space

Monetary budgets influence activity participation and related travel as they demarcate limits on how people organize their activities in time and space. In this paper, we are interested in money allocation to out-of-home leisure activities and how this is affected by duration, sociodemographics, and time-location variables. Analyses were carried out by applying a seemingly unrelated regression model to a leisure activity data set. The analyses revealed that expenditures for out-of-home leisure activities are influenced by the variables mentioned above. Moreover, the results indicate that there is a substitution between expenditure of each activity.     

ON THE ESSENTIALITY OF BANKS*

We compare allocations sustained by credit with allocations sustained by bank notes (inside money) in a search model with decentralized trade and limited monitoring. We demonstrate that there exists a credit arrangement that is superior to inside money. However, in contrast with inside money, this arrangement is not robust to an expansion of trade that is not accompanied by an adequate increase in the degree of monitoring. Therefore, banks are essential when trade is intense and monitoring is limited. As a historical application, we argue that our model helps explain the origins of banking in Medieval and Early Modern Europe.     

Exploring the use of travel information – identifying contextual market segmentation in Seoul, Korea

As the amount of information is rapidly growing, and ubiquitous urban environments are emerging, the question which kind of information to provide is a major challenge for commercial and public travel-information service providers alike. This paper reports the analyses of recent data, collected in Metropolitan Seoul, about the acquisition of travel information. The study applies CHAID analysis to find homogeneous segments in travel information acquisition. Findings indicate that contextual variables are crucial to explain information acquisition behaviour, depending on decision context. The implication is that both socioeconomic and contextual variables are important to better understand the acquisition (and provision) of travel information. The results have important implications for managers and policy-makers, in particular in the way they respond to dynamic, contextual market segmentation.     

Mandatory dividend rules: Do they make it harder for firms to invest?

What are the costs and benefits of mandatory dividend rules? On the one hand, they make it harder for controlling shareholders to divert corporate assets. On the other hand, they reduce the internal funds available for firms to invest, possibly leading to the loss of valuable projects. To assess this trade-off, we look at investment and dividend decisions in a sample of public firms in Brazil. We show that a significant fraction of these firms use loopholes of Brazil's mandatory dividend rules to avoid paying dividends. And yet, the dividend rules are effective. They help explain why the average dividend yield in Brazil is higher than in the U.S., without making it harder for firms to invest.