Platform Competition With Cash-Back Rebates Under No Surcharge Rules

We analyze competing strategic platforms setting fees to a local monopolist merchant and cash-back rebates to end users, when the merchant may not surcharge platforms’ customers, a rule imposed by some credit card networks. Each platform has an incentive to gain transactions by increasing the spread between its merchant fee and user rebate above its rival's spread. This incentive yields non-existence of a pure strategy equilibrium in many natural environments. In some circumstances, a mixed strategy equilibrium exists where platforms choose fee structures that induce merchants to accept only one platform with equal probability, a form of monopolistic market allocation.     

Credible expectations — The US Department of Energy's Hydrogen Program as enactor and selector of hydrogen technologies

There are many competing transition paths toward sustainability and even more competing visions and expectations, while only a limited of number of paths can be supported. In the literature so far, not much attention has been paid to the question: what makes one expectation more credible than another?On the basis of a case study on the US Department of Energy's (DOE) Hydrogen Program we show how credible expectations build on three arguments in favor of the promising option. First there is the technology's current level of performance and its historical progress toward that level. Second a path forward is constructed to argue that even higher levels of performance can be achieved. And third, an end target is constructed that relates to relevant societal needs. All three elements can, and often are, subject of contestation and competing options will provide the same type of arguments and relate to the same societal needs.Finally, a transition path needs promising enabling technologies to remain credible, and the ‘losers’ are dropped as soon as the credibility of the path is challenged.     

Public expenditure, international specialisation and agglomeration

It is widely recognised that public-sector purchasers tend to favour domestic suppliers. We study the consequences of such home-biased public procurement on international specialisation. Using a general-equilibrium model with a monopolistically competitive sector, we find that a country will specialise in that sector if it has relatively large home-biased procurement (the “pull” effect). Furthermore, home-biased procurement can counter agglomeration forces in that sector and thereby attenuate the overall degree of international specialisation (the “spread” effect). Our empirical analysis, conducted on input-output data for the European Union, yields supporting evidence for the pull effect and some support for the spread effect.     

The Economic Logic for Conditioning Bell Entry into Long Distance on the Prior Opening of Local Markets

One of the most important and most contentious issues for regulation and competition raised by the 1996 Telecommunications Act is when to authorize the regional Bell companies to offer long-distance services. The Department of Justice (DOJ) adopted a standard requiring that a Bells local market must first be irreversibly open to competition. This paper analyzes the competitive benefits and costs of authorizing Bell entry, explains the DOJs standard, and argues that the incentives created by this standard will help achieve the Acts competitive goals more efficiently and rapidly than other standards, ultimately reducing the need for intrusive regulation.     

Modeling the evolution of implied CDO correlations

CDO tranche spreads (and prices of related portfolio-credit derivatives) depend on the market’s perception of the future loss distribution of the underlying credit portfolio. Applying Sklar’s seminal decomposition to the distribution of the vector of default times, the portfolio-loss distribution derived thereof is specified through individual default probabilities and the dependence among obligors’ default times. Moreover, the loss severity, specified via obligors’ recovery rates, is an additional determinant. Several (specifically univariate) credit derivatives are primarily driven by individual default probabilities, allowing investments in (or hedging against) default risk. However, there is no derivative that allows separately trading (or hedging) default correlations; all products exposed to correlation risk are contemporaneously also exposed to default risk. Moreover, the abstract notion of dependence among the names in a credit portfolio is not directly observable from traded assets. Inverting the classical Vasicek/Gauss copula model for the correlation parameter allows constructing time series of implied (compound and base) correlations. Based on such time series, it is possible to identify observable variables that describe implied correlations in terms of a regression model. This provides an economic model of the time evolution of the market’s view of the dependence structure. Different regression models are developed and investigated for the European CDO market. Applications and extensions to other markets are discussed.     

Time Series Modelling of Daily Tax Revenues

We provide a detailed discussion of time series modelling of daily data in general and daily tax revenues in particular. The main feature of the daily tax revenue series is the pattern within calendar months. Standard time series methods for seasonal adjustment and forecasting cannot be used since the number of banking days per calendar month varies and because there are two levels of seasonality: between months and within months. We propose a daily time series model based on unobserved components that allows for the classic decomposition into trend, seasonal plus irregular, but it also includes components for intra-monthly, trading-day and length-of-month effects. Such components typically rely on stochastic cubic spline, polynomial and dummy variable functions. State space techniques are used for the recursive computation of the likelihood and forecasts functions with special allowance for irregular spacing. The model is operational for daily forecasting at the Dutch Ministry of Finance. We present the model specification and discuss estimation and forecasting results up to December 1999. A comparative forecast evaluation is also presented.