Non‐Homothetic Multisector Growth Models

Multisector growth (MSG) models are dynamic versions of computable general equilibrium (CGE) models. Non‐homothetic preference (utility) functions are required for the evolution of factor allocations and industrial structures in accordance with consumption expenditure patterns implied by the non‐unitary income elasticities observed in all budget data since Engel in the 1850s. But comparative static general equilibrium solutions and particularly solving the dynamics of MSG models require explicit specifications of all demand and cost (price) functions. On the demand side, the constant differences of elasticity of substitution (CDES) non‐homothetic indirect utility functions and Roy's identity provide the explicit Marshallian demand functions and budget shares. Sectorial constant elasticity of substitution (CES) cost functions and Shephard's lemma provide the explicit relative commodity price functions and the sectorial cost shares and capital–labor ratios. Walrasian equilibria are given by one equation and the multisector dynamics by three differential equations. Benchmark solutions are given for three cost regimes of a 10‐sector MSG model. History patterns of industrial/allocational evolutions are recognized.     

Gender-Based Pricing in the Hairdressing Industry

This paper reviews the evidence and evaluates the claim that the hairdressing industry systematically discriminates on the basis of gender and compares the way in which courts in the UK and US have dealt with such allegations. We argue that "transaction costs" can be used to provide an alternative (perhaps more satisfactory) explanation for the pricing patterns observed than does price discrimination. Any decision to ban gender-based pricing will imply a difficult trade-off between economic efficiency and concerns for gender equality.     

A framework to measure integrated risk

A framework underlying various models that measure the credit risk of a portfolio is extended in this paper to allow the integration of credit risk with a range of market risks using Monte Carlo simulation. A structural model is proposed that allows interest rates to be stochastic and provides closed-form expressions for the market value of a firm's equity and its probability of default. This model is embedded within the integrated framework and the general approach illustrated by measuring the risk of a foreign exchange forward when there is a significant probability of default by the counterparty. For this example moving from a market risk calculation to an integrated risk calculation reduces the expected future value of the instrument by an amount that could not be calculated using the common pre-settlement exposure technique for estimating the credit risk of a derivative.     

Wages in a growing Russia

The robust Russian economic recovery after the 1998 financial crisis raised the economic standing of the population, especially for lowly paid workers, most of whom are women. In this paper I use the Russian Longitudinal Monitoring Survey from 1996 through 2002 to ask whether this helped to reduce the gender wage gap. I first focus on those whose wages are paid in full. Next, I ask about the gender composition of wage arrears as the overall extent of wage arrears dropped from 60 to 20 per cent after the 1998 crisis. I show that a temporary widening of the overall gender wage gap in 2000 is due to low‐wage women becoming more likely to receive their wages in full than low‐wage men. Except for this effect, the male–female pay difference in Russia exhibits a stable pattern.     

Impact of China's WTO Accession on East Asia

The industrialized and newly industrializing economies (NIEs) in East Asia will benefit from China's WTO accession, and the developing economies in the region may incur small welfare losses. China will increase its demand for high-end manufacturing products from Japan and the NIEs and farm products, natural resources, and manufactured goods from developing East Asia. New foreign investment may flow into these expanding sectors. The overall impact on foreign investment is likely to be positive in the NIEs but negative in developing East Asia. The NIEs may face heightened competition in global markets as China's comparative advantage shifts into high-end products. (JEL F11 , F13 , F15 )     

Determinants of Residential Land-Use Conversion and Sprawl at the Rural-Urban Fringe

We estimate a probit model of residential land conversion using parcel-level data from a rural-urban county in Ohio. Spatial landscape pattern metrics are used to quantify land-use patterns and to link patterns of residential sprawl with factors estimated to influence parcel-level land conversion. Findings indicate that the location of new residential development is influenced by preferences for lower density areas that nonetheless are close to existing urban development. Combined, these forces have generated a moderated pattern of residential sprawl. Spatial error autocorrelation is controlled using a spatial sampling technique that enables consistent estimation of the probit model.     

Deposit guarantee evaluation and incentives analysis in a mutual guarantee system

This paper analyzes how the deposit guarantee value affects the risk incentives in a mutual guarantee system. We liken the guarantee’s value to that of a European-style contingent claims portfolio. The main feature emerging from our model is that a mutual guarantee system would give banks an adverse incentive to increase riskiness. To mitigate this incentive, we introduce a regulatory provision modelled using a path-dependent contingent claim. By comparing the mutual guarantee system with a non-mutual one, we show that the former is less expensive, but implies higher adverse incentives for the banks, especially for undercapitalized institutions.     

Spatially explicit micro-level modelling of land use change at the rural–urban interface

This paper describes micro‐economic models of land use change applicable to the rural‐urban interface in the US. Use of a spatially explicit micro‐level modelling approach permits the analysis of regional patterns of land use as the aggregate outcomes of many, disparate individual land use decisions distributed across space. In contrast to the models featured by Nelson and Geoghegan, we focus on models that require spatially articulated data on parcel‐level land use changes through time. In characterising the spatially disaggregated models, we highlight issues uniquely related to the management and generation of spatial data and the estimation of micro‐level spatial models.