A Technological and Organisational Explanation for the Size Distribution of Firms

This paper combines insights from the literature on the economics of organisation with traditional models of market structure to construct a theory of equilibrium firm size heterogeneity under the assumption of a homogenous product industry. It is possible that configurations consisting entirely of small firms (run by entrepreneurs with limited attention) and with larger firms (using managerial techniques to substitute away these limits to allow increasing returns technologies to become profitable) can arise in equilibrium. However, there also exist equilibrium configurations with the co-existence of large and small firms. The efficiency properties of these respective equilibria are discussed. Finally, the implications of an expanding market size are considered.     

Using Limited Information to Support the Decision to Launch a New Product in the Fruit Juice Market: A Teaching Case Study

Fresh Juice Incorporated (FJI) is in the process of determining whether it should launch a new fruit juice, Genetically Enhanced (GE) Juice. The GE Juice meets consumers' demands for a tasty, nutritious product and it would be the first new juice product in the last fifteen years. Before FJI decides to launch GE Juice, it must analyze the uncertainty surrounding market size, market share, and price of GE Juice. Finally, if FJI decides to launch GE Juice, then they must decide if they will bottle the juice themselves or outsource this process. This case teaches students how to discuss the strategic implications of launching a new product and develop a net present value and financial feasibility simulation model given limited information.     

Macro Prudential Supervision in the Open Economy,and the Role of Central Banks in Emerging Markets

In this paper we explore lessons from the global liquidity crisis pertaining to the prudential supervision role of central bank in an open economy. The crisis validates the need for external debt management policy in emerging markets. Hoarding international reserves (IR) is a potent self-insurance mechanism. However, it is associated with relatively high costs and is also less efficient in absence of assertive external debt management policies. In the presence of congestion externalities associated with deleveraging, optimal external borrowing-tax-cum-IR-hoarding-subsidy reduces the cost as well as the scale of hoarding IR.     

Impact of copula choice on the modeling of crop yield basis risk

A number of problems in agricultural economics involve modeling joint distributions for which the assumption of multivariate normality may not be warranted. Yet, very little work has been conducted evaluating competing methods for modeling joint dependence. We develop a simulation framework to evaluate the bias and efficiency impacts of copula choice in the context of evaluating county‐to‐farm basis risk. The results suggest significant differences in performance across various copulas and approaches. The findings have important implications for risk analysis, insurance, and policy modeling problems in agriculture regarding the selection of method to model dependence among random variables.     

Measuring the Diffusion of Technologies Through International Trade

International Advances in Economic Research - Technological advancements affect economic growth, income distribution and levels of unemployment. However, quantifying the pace of technological...     

Bilateral Bargaining with Externalities

This paper provides an analysis of a non‐cooperative pairwise bargaining game between agents in a network. We establish that there exists an equilibrium that generates a coalitional bargaining division of the reduced surplus that arises as a result of externalities between agents. That is, we provide a non‐cooperative justification for a cooperative division of a non‐cooperative surplus. The resulting division is related to the Myerson‐Shapley value with properties that are particularly useful and tractable in applications. We demonstrate this by examining buyer‐seller networks and vertical foreclosure.     

Moving average stochastic volatility models with application to inflation forecast

We introduce a new class of models that has both stochastic volatility and moving average errors, where the conditional mean has a state space representation. Having a moving average component, however, means that the errors in the measurement equation are no longer serially independent, and estimation becomes more difficult. We develop a posterior simulator that builds upon recent advances in precision-based algorithms for estimating these new models. In an empirical application involving US inflation we find that these moving average stochastic volatility models provide better in-sample fitness and out-of-sample forecast performance than the standard variants with only stochastic volatility.