A Cost Function Analysis of the Australian Transportation Equipment Industry

This article investigates the existence of economies of scale and input cross and direct price elasticities of demand in the Australian motor vehicle industry. Our estimated cost elasticities were less than one (consistent with economies of scale), but not significantly less than one at the 10 per cent level for two versions of the model. However, the estimated cost elasticity was significantly less than one at approximately the 2.5 per cent level for a third. Thus, these results give some credibility to the infant industry argument for continued assistance to the Australian transportation equipment industry. A four-input model separating domestic and foreign intermediate goods inputs suggests that while restrictions on imported components may have given some short-run relief to the domestic components industry and increased the demand for labour domestically, they decreased the demand for domestic capital. Although the infant industry argument could support short-run protectionist policies for the industry, it appears that such policies regarding the Australian motor vehicle industry must be designed carefully with a specified phase-out period if long-term adverse results are to be avoided.     

THE MACROECONOMIC EFFECTS OF A SWITCH FROM DIRECT TO INDIRECT TAXES: AN EMPIRICAL ASSESSMENT

This paper investigates the macroeconomic effects of switching the tax burden from direct to indirect taxes in an empirical model based on 22 OECD countries. The Engle-Yoo three step procdure is employed to estimate both the short and long run effects of such a tax switch. The results reveal that a switich from direct to indirect taxes is likely to generate efficiency gans in the short run which lead to higher levels of aggragate output. However, for the majority of countries in the sample the tax changes have no impact on the level of economic activity in the long run.     

DO TAX AND EXPENDITURE LIMITATIONS AFFECT THE SIZE AND GROWTH OF STATE GOVERNMENT?

This paper focuses on citizens' ability to restrict the size and growth of state government through the use of tax and expenditure limitations (TELs). Most TEL laws are not designed to stop public sector growth but are intended to cap it relative to personal income growth. Evidence indicates that the design of TEL laws increases the elasticity of government size (and growth) with respect to income. Thus, TEL laws, as they currently are written, allow states with high income growth to keep increasing the size of the public sector. Meanwhile, they prevent states with low income growth from doing likewise. While TELs restrict government size and growth in states with below average income, in general they have no significant effect on the size or growth of government. Therefore, as long as income growth is high, TELs end up as little more than political cover for state legislatures.     

An analysis of asymmetric demand response to price changes: The case of local telephone calls

Asymmetric demand responses to price changes are not an observable implication of classical demand theory, which predicts that consumers will react to a small price increase in much the same way as they do to a small price decrease. Yet applied researchers have long speculated that consumers are more sensitive to price increases than they are to price decreases. In addition, recent empirical studies generally support the theory of asymmetric demand responses. We construct a dynamic model based on data gathered from monthly telephone bills for 128 New York Telephone customers over a five-year period. Our results support the conclusion that customers react more quickly and strongly when prices go up than they do when prices go down.We would like to thank Manny Haas and Bernie Reddy for their comments and suggestions.     

Repeated Dichotomous Choice Formats for Elicitation of Willingness to Pay: Simultaneous Estimation and Anchoring Effect

Repeated dichotomous choice contingent valuation data are generated from responses to a succession of binary questions regarding alternative prices for an environmental good. In this paper we propose a simultaneous equation model that allows for endogeneity and error correlation across the responses at each stage of the bidding process. The model allows us to study the evolution of anchoring effects after the second dichotomous choice question. Estimation involves the Bayesian techniques of Gibbs sampling and data augmentation, and the application focuses on the preservation value of a natural area. The results for a data set involving up to four successive dichotomous choice questions show that restricted multiple-bounded models are rejected by the data with the general model. In addition, willingness to pay tends to stabilize after the second stage in the elicitation process for the general unrestricted model. When taking anchoring effects into consideration, it is revealed that individuals’ responses in the latter stages are influenced by the sequence of bid prices offered in earlier questions. Nevertheless, they do not have a significant effect on welfare estimates.      

CONSUMPTION GROWTH ACCOUNTING

The methodology in this paper combines an input–output structural decomposition approach with the supply-side perspective of mainstream growth accounting. In explaining the intertemporal change in consumption per worker, three sets of effects are distinguished. First, contributions due to several types of technological changes are considered. Second, effects caused by changes in international trade are discerned. Third, composition effects that reflect structural shifts in demand (including changes in tastes) are quantified. As an empirical illustration, we analyze the developments in the U.K. between 1979 and 1990.     

Socioeconomic predictors of forest use values in the Peruvian Amazon: A potential tool for biodiversity conservation

Conservation is a crisis discipline requiring rapid action with limited funds. This study examines the potential of socioeconomic variables to predict forest use values. If natural resource use can be predicted from socioeconomic data, conservation planners could rapidly identify and focus conservation programs on the sectors of local populations that most intensively utilize local flora and fauna. Families in three communities in the northern Peruvian Amazon were surveyed over a 6-month period. Data were collected on use of flora and fauna from six locally determined use categories (food, medicine and poisons, wood, weavings, adornments, and “other”) in forest types of three age classes (fallow fields—very young forests, young secondary forests, and old secondary forests). Forest use values were the dependant variables calculated in $/ha/year. Socioeconomic variables included: age, education, family size, residence time, land worked, land owned, number of fishing nets, chickens, pigs, cows, and/or mules owned (all proxies for productive assets), and level of ecological knowledge (ability of informants to correctly identify forest species and answer basic questions about their biology). Ordinary least square multiple regressions were run independently for each forest type. Regressions were also run separately for the two most valuable use categories, food and wood. Low R² adjusted values (all < 0.3) reflect the difficulty in predicting human behavior due to confounding variables and complex interactions. Residence time and a household's community of residence were the most significant predictors of forest use values. Households in Vista Alegre, the community with the highest density of people and smallest landholdings per household, extracted the highest value of forest products per hectare. The longer a family stayed in any community the higher the value of forest goods they extracted. If families that lived in an area longest are the most intensive extractors of forest products, they should be a major focus for conservation programming. In addition, the higher value of products extracted from forests by some families may make them more open to strategies seeking to protect long-term viability of the resources they utilize. The importance of residence time also indicates that planners need to account for changes in the resource use patterns of stakeholders over time.