Inference on vertical contracts between manufacturers and retailers allowing for nonlinear pricing and resale price maintenance

We present a model of vertical contracts between manufacturers and retailers with nonlinear pricing strategies. Using home‐scan data on bottled water produced by manufacturers and sold by retail chains in France, we estimate a structural demand and supply model allowing for two‐part tariff contracts between manufacturers and retailers. Using price‐cost margins recovered from estimates of demand parameters, we select the best supply model by performing nonnested tests, and find that manufacturers use two‐part tariff contracts with resale price maintenance. We then perform counterfactual policy simulations that restrict the use of these vertical contracts and assess welfare effects under alternative scenarios.     

American-style options in jump-diffusion models: estimation and evaluation

We propose dynamic programming coupled with finite elements for valuing American-style options under Gaussian and double exponential jumps à la Merton [J. Financ. Econ., 1976, 3, 125–144] and Kou [Manage. Sci., 2002, 48, 1086–1101], and we provide a proof of uniform convergence. Our numerical experiments confirm this convergence result and show the efficiency of the proposed methodology. We also address the estimation problem and report an empirical investigation based on Home Depot. Jump-diffusion models outperform their pure-diffusion counterparts.     

El sistema financiero y su efecto en la dinámica sector privado

In the framework of a closed economy, identical agents, constant returns to scale and introducing a financial market, through a model of endogenous growth the macroeconomic equilibrium is characterized and it is shown that capital distribution is perfect with the existence of an efficient financial market. Nevertheless, the capital distribution is ineffective when the financial market is not efficient, which generates distortions that increase the cost of capital and hence rate of growth decreases. At the same time, a welfare analysis is carried out to verify the impact due to both types of financial markets, an efficient one and an inefficient one.     

THEORY AND EVIDENCE IN PSYCHOLOGY AND ECONOMICS ABOUT MOTIVATION CROWDING OUT: A POSSIBLE CONVERGENCE?

The empirical relevance of motivation crowding out is a controversial issue in economics and psychology. As already pointed out by Frey and Jegen ( 2001 ), this is partly due to the historical development of two distinct and parallel strands of literature that stem from different theoretical traditions, have radically different tenets and therefore, are difficult to reconcile. In this survey, we go back to the details of the debates that took place independently among psychologists and economists, and sketch an integrative interdisciplinary approach likely to favor a more fruitful collaboration between economics and psychology. From this perspective, experimental economics (both field and laboratory) is viewed as a major research field shedding new light on the conditions of relevance of motivation crowding out.     

Efficiency, monotonicity and rationality in public goods economies

Summary. In economies with public goods, we identify a necessary and sufficient condition for the existence of cost monotonic, Pareto optimal and individually rational mechanisms. These exist if and only if the preferences of the agents satisfy what we call the equal ordering property. We also show that when this condition holds the egalitarian equivalent correspondence is the only cost monotonic selection from the core of the economy. Furthermore, it is unambiguous in the sense that the agents are indifferent among all the allocations in it. Received: February 26, 1996; revised version: January 31, 1997     

Assessing the Impact of Formal and Informal Regulations on Environmental and Economic Performance of Brazilian Manufacturing Firms

This study investigates the impact of formal and informal regulations on environmental and economic performance of Brazilian manufacturing firms. We adopt a dual approach where production technology is represented by a cost function, approximated by a translog form. Pollution is considered as a negative by-product that can be modified trough using either formal regulation (inspections or sanctions) or informal regulation (community pressure). A simultaneous equation model is estimated by three-stage least squares on a sample of 404 industrial establishments located in the state of S?o Paulo, Brazil. We show that pollution abatement costs for the Brazilian manufacturing sector are different from zero which suggests that pollution emissions are affected by environmental regulation. We also demonstrate that environmental performance of firms is jointly affected by formal and informal regulation. Lastly, formal regulation is largely influenced by informal regulation and more specifically by community pressure.     

Providing global public goods under uncertainty

We study how uncertainty and risk aversion affect international agreements to supply global public goods. We consider a benchmark model with homogeneous countries and linear payoffs. When countries directly contribute to a public good, uncertainty tends to lower signatories' efforts but may increase participation. Despite risk aversion, uncertainty may improve welfare. In contrast, when countries try to reduce a global public bad, uncertainty tends to increase signatories' efforts and decrease participation. In that case, an ex-ante reduction of uncertainty may have a large positive multiplier effect on welfare.     

Weather Index Drought Insurance: An Ex Ante Evaluation for Millet Growers in Niger

In the Sudano-Sahelian region, which includes South Niger, the inter-annual variability of the rainy season is high and irrigation is limited. As a consequence, bad rainy seasons have a massive impact on crop yield and regularly result in food crises. Traditional insurance policies based on crop damage assessment are not available because of asymmetric information and high transaction costs compared to the value of production. We assess the risk mitigation capacity of an alternative form of insurance which has been implemented at a large scale in India since 2003: insurance based on a weather index. We compare the efficiency of various weather indices to increase the expected utility of a representative risk-averse farmer. We show the importance of using plot-level yield data rather than village averages, which bias results due to the presence of idiosyncratic shocks. We also illustrate the need for out-of-sample estimations in order to avoid overfitting. Even with the appropriate index and assuming substantial risk aversion, we find a limited gain of implementing insurance, which roughly corresponds to, or slightly exceeds, the cost observed in India for implementing such insurance policies. However, when we separately treat the plots with and without fertilisers separately, we see that the benefit of insurance is slightly higher in the former case. This suggests that insurance policies may slightly increase the use of risk-increasing inputs such as fertilisers and improved cultivars, and hence improve average yields, which remain very low in the region.