The Valuation of Insurance under Uncertainty: Does Information about Probability Matter?

In a laboratory experiment we test the hypothesis that consumers' valuation of insurance is sensitive to the amount of information available on the probability of a potential loss. In order to test this hypothesis we simulate a market in which we elicit individuals' willingness to pay to insure against a loss characterised either by known or else vague probabilities. We use two distinct treatments by providing subjects with different information over the vague probabilities of loss. In general we find that uncertainty about probabilities has a weak impact on consumers' valuation of insurance. However, additional information about probabilities tends to marginally increase the price individuals are willing to pay to insure themselves. Implications for the insurance market are derived.     

Measuring Value‐at‐Risk in Project Finance Transactions

Despite the remarkable importance of project finance in international financial markets, no quantitative models to measure and quantify the risk associated with a deal for the project's lenders have been developed yet. The topic has recently become crucial, since the New Basle Capital Accord gives banks a choice of whether to adopt simpler (but possibly higher) standard capital requirements or to develop internal rating models for project finance transactions. The paper proposes how Monte Carlo simulations may be used to derive a Value‐at‐Risk estimate for project finance deals and discusses the critical issues that must be considered when developing such a model.     

Trade Creation,Replacement, and Destruction in Regional Trade Agreements: Micro‐level Evidence for the UK*

Empirical questions surrounding the effect of regional trade agreements on international trade have typically been answered with reference to macro‐level gravity equations. Prominent within this has been whether they create or divert trade. In this paper, motivated by the recent development of theories of export‐platform FDI, we use micro‐level data to explore the part of trade diversion that follows from FDI. Using information on acquisition FDI in the UK manufacturing sector between 1988 and 1998 we find evidence of trade creation, replacement, and destruction from FDI external and internal to the EU.     

Tax credits,labour participation and home production in the Netherlands

We set up a dynamic reduced form model of labour market participation for women who balance career and motherhood. The model accounts for the occurrence of future child birth and early retirement, and includes home production; however, it does not require the estimation of a structural model. Careful implementation of pension institutions can return optimal life patterns of participation without the need of a structural approach. The weaker theoretical framework is compensated by the rich spectrum of possible policy simulations. As illustration, we simulate the effect of two tax credits policy options on the hazard rate out of work.     

AN ANNUAL CHAIN INDEX OF ITALY'S "REAL" PRODUCT, 1861–1989

The construction and application of a Paasche annual chain index to the Italian GDP figures between 1861 and 1989 is the subject of this article. Comparison with product at constant prices shows, except for war periods, a revaluation of GDP in favour of the annual chain index of around 0.10 percent. The most striking differences are concentrated into periods of marked changes in relative prices, and the new index modifies the temporal pattern of the growth trend by accentuating, without altering the periodization, cyclical fluctuations.     

Increasing inequality,consumer credit and financial fragility in an agent based macroeconomic model

We investigate the interplay between increasing inequality and consumer credit in a complex macroeconomic system with financially fragile heterogeneous households, firms and banks. Simulation results show that there are pros and cons of introducing consumer credit: on the one hand, for a certain time, it leads to lower unemployment through boosting aggregate demand; on the other hand, it accelerates the system tendency to the crisis. Since the increase of financial profits goes with a decline of households’ real wealth, a policy trade-off emerges.     

Rock around the clock: An agent-based model of low- and high-frequency trading

We build an agent-based model to study how the interplay between low- and high-frequency trading affects asset price dynamics. Our main goal is to investigate whether high-frequency trading exacerbates market volatility and generates flash crashes. In the model, low-frequency agents adopt trading rules based on chronological time and can switch between fundamentalist and chartist strategies. By contrast, high-frequency traders activation is event-driven and depends on price fluctuations. High-frequency traders use directional strategies to exploit market information produced by low-frequency traders. Monte-Carlo simulations reveal that the model replicates the main stylized facts of financial markets. Furthermore, we find that the presence of high-frequency traders increases market volatility and plays a fundamental role in the generation of flash crashes. The emergence of flash crashes is explained by two salient characteristics of high-frequency traders, i.e., their ability to i. generate high bid-ask spreads and ii. synchronize on the sell side of the limit order book. Finally, we find that higher rates of order cancellation by high-frequency traders increase the incidence of flash crashes but reduce their duration.     

Knowledge growth, complexity and the returns to R&D

The introduction of a production function of technology embodying laws of returns to research and development (R&D) is now standard practice in growth theory. This paper offers a critical evaluation, in the light of a generalized N–K model, of some recent contributions suggesting foundations for the existence of laws of returns to R&D. It is argued that such contributions fail to analyze the way in which research and development activity in the technological and scientific domains affect the dimension, the hierarchic structure and the complexity of knowledge search spaces. In the attempt at moving some analytical steps in this direction, this paper considers the possibility that modularity effectively counters the rise in complexity which would follow from idea growth and the increasing number of potential interactions between component ideas. It is argued that the force of the modularity argument finds its limits in the face of radical innovations that are general purpose, but entail a deconstruction and reconstruction of the hierarchy of technological interactions. It is also suggested that niche creation and knowledge spillovers elicit the early development and subsequent diffusion of such radical innovations.