License to till: The privileges of the Spanish Mesta as a case of second-best institutions

The Mesta was the association of the migratory shepherds of Castile, controlling fine wool production between the thirteenth and the nineteenth centuries. Its royally granted privileges have often been blamed for the stagnant Spanish agricultural productivity during the early modern period. I argue that the Mesta’s privileges allowed Medieval Castile to develop its comparative advantage in wool, and that the Crown was able to restrict their scope and application when economic conditions favored arable farming interests. I support my argument with extensive archival data, including a new series of wool prices and a detailed analysis of lawsuits involving the Mesta.     

Making real options work for practitioners: a generic model for valuing R&D projects

We propose a generic valuation framework for the appraisal of R&D projects based on real option theory. The added value of this approach is the presentation of a model that was implemented in a manner that allows corporate decision makers to use real options in an intuitive and standardized way. The project valuation procedure is separated into three main phases: project modeling, data and input collection, and result generation and analysis. The project model represents the structure of the real world R&D project with its investments, expected results, and decisions that need to be taken conditionally on the outcomes of research activities. The project model is represented in the form of a decision tree, where different research results or taken decisions lead to new branches. In this way, every possible situation the project can pass through can be represented. Uncertainties are separated into market uncertainties (e.g., market prices) and project specific, private uncertainties (e.g. uncertainty of research results). For both uncertainties, event trees are constructed which are then combined and merged with the above mentioned decision tree in order to represent the value evolution of the R&D project under given decisions and uncertainties. For every possible state of the project the real option value is calculated. By creating multidimensional trees, a multitude of decision steps and various kinds of real options (e.g., continue, expansion, switch, abandonment) can be modeled. The calculation complexity for the decision trees is given. From the tree structure we can calculate the real option value of starting an R&D project, i.e., the value of undertaking the first investment and thus acquiring the subsequent decision opportunities given by the completion of the first research effort. Furthermore, the optimal exercise strategy is derived from the decision tree. The exercise strategy gives the manager the possibility to have an a priori overview of where an R&D project may lead to, which decisions need to be taken in which circumstances, and when the project needs to be stopped in order not to generate losses. In an in‐depth case study we use an illustrative R&D project to set up and discuss the three phases of project modeling in the real options framework: building the multidimensional decision tree, input generation, and calculation of the real option value as well as the optimal strategy for the R&D project.     

Why are tax revenues of local governments so low?

Using a unique data set on federal grants and tax revenues of more than 5000 Brazilian cities, we find that the federal government imposes an implicit tax of almost 10% on city governments’ tax revenues: for every dollar that a city collects from its residents, the federal government withdraws grants worth 9 cents from the city. Our findings suggest that local government tax revenues are low not because federal grants crowd out tax revenues, but because tax revenues crowd out federal grants.     

The London Commercial Property Price Index

Of the top ten global commercial property markets, London’s has had the highest transaction turnover for the past decade according to Real Capital Analytics. Its prime real estate is part of every major European and US institutional investor’s portfolio and London’s market has the most developed commercial property derivatives market outside of the US. Yet, no transaction-based index exists for the London office market. The aim of this study is to fill that gap. Using a comprehensive dataset of transactions from Estates Gazette interactive and Real Capital Analytics, this paper analyzes different repeat-sales estimation strategies and noise filters to produce a quarterly index series from the first quarter of 1997 to the fourth quarter of 2011. In addition, the index series is measured against IPD’s London capital valuation series and the MIT Center for Real Estate New York office market repeat sales index series. Results show that the market turn of the first financial crisis is clearly visible in the transactions-based indices, and that this index leads the capital valuation series by about a year. London’s office market seems to have been affected by the crisis considerably earlier than New York’s market and correlations between the two markets are low.     

Corruption and auctions

We investigate how corruption affects the outcome of a first-price auction (bidding behavior, efficiency and the seller’s expected revenue). The auctioneer approaches the winner to offer the possibility of a reduction in his bid in exchange for a bribe. The bribe can be a percentage of the difference between the winning and the second-highest bid or a fixed amount. We show that there exists a symmetric bidding strategy equilibrium that is monotone, i.e., higher valuation buyers bid higher. Corruption does not affect efficiency but both the auctioneer’s expected bribe and the seller’s expected revenue depend on the format of the bribe payments. We also find the optimal bribe scheme.     

Can People Value Protection against Invasive Marine Species? Evidence from a Joint TC–CV Survey in the Netherlands

Harmful algal-bloom species (HABs) are invasiveexotic species that are primarily introduced inNorth European waters through ballast water ofships. Some produce important damages to themarine ecosystem such as the red tides thatcause a massive destruction of marine livingresources, including fish and bottom-livinganimals. Others are responsible for theproduction of thick foams with repellent odorsand the coloration of the beach water, causingimportant damages on beach recreation. Thisarticle reports a monetary valuation study of amarine protection program. This program focuseson the prevention of HABS along the coastlineof the Netherlands. It entails the constructionof a ballast water disposal treatment in theRotterdam harbor and the implementationof a monitoring program of the water quality inthe open sea along the North-Holland beaches.The valuation study is based on a questionnaireundertaken at Zandvoort, a famous Dutchbeach resort. The economic value of the marineprotection program includes non-market benefitsassociated with beach recreation, human healthand marine ecosystem impacts. Both contingent-valuation and travel-cost methods are used.These valuation techniques have not yet beenapplied to value HABs damages. The valuationresults indicate that the protection programmakes sense from an economic perspective aslong as its cost is, in any case, less than 225 millioneuro, and possibly less than 326 million euro, depending on how survey refusals are dealt with.     

Synergies and price trends in sequential auctions

In this paper we consider sequential second-price auctions where an individual's value for a bundle of objects is either greater than the sum of the values for the objects separately (positive synergy) or less than the sum (negative synergy). We show that the existence of positive synergies implies declining expected prices. When synergies are negative, expected prices are increasing. There are several corollaries. First, the seller is indifferent between selling the objects simultaneously as a bundle or sequentially when synergies are positive. Second, when synergies are negative, the expected revenue generated by the simultaneous auction can be larger or smaller than the expected revenue generated by the sequential auction. In addition, in the presence of positive synergies, an option to buy the additional object at the price of the first object is never exercised in the symmetric equilibrium and the seller's revenue is unchanged. Under negative synergies, in contrast, if there is an equilibrium where the option is never exercised, then equilibrium prices may either increase or decrease and, therefore, the net effect on the seller's revenue of the introduction of an option is ambiguous. Finally, we examine a special case with asymmetric players who have distinct synergies. In this example, even if one player has positive synergies and the other has negative synergies, it is still possible for expected prices to decline.Received: 12 December 2000, Accepted: 1 May 2002, JEL Classification: D44Flavio Menezes acknowledges the financial support from ARC (Grant A000000055) and CNPq. Monteiro acknowledges the financial support from CNPq and the hospitality of CERSEM where part of this paper has been written. We thank Richard Engelbrecht-Wiggans, Peter Sørensen and two anonymous referees for useful comments.     

Forecasting banking crises with dynamic panel probit models

Banking crises are rare events, but when they occur, their consequences are often dramatic. The aim of this paper is to contribute to the toolkit of early warning models that is available to policy makers by exploring the dynamics and exuberances embedded in a panel dataset that covers 22 European countries over four decades (from 1970Q1 to 2012Q4). The in- and out-of-sample forecast performances of several (dynamic) probit models are evaluated, with the objective of developing common vulnerability indicators with early warning properties. The results obtained show that adding dynamic components and exuberance indicators to the models improves the performances of early warning models significantly.