EFFECT OF TEXTILE QUOTA RESTRICTIONS ON U.S. COTTON TEXTILE IMPORTS BETWEEN 1964 AND 1973

The objective of this study was to investigate the effect of U.S. cotton textile quotas on cotton textiles imported into the U.S. between 1964 and 1973. The findings showed that cotton imports requiring more processing stages had significantly greater 10-year average prices than other groups. Changes in the dollar value of imported cotton textiles during the decade have mainly occurred because of an increase in the average prices rather than resulting from a redistribution of imports from low to high average price groups. The weakening correlation between changes in the dollar value and in the quantity of high unit value groups indicated that the control on quantity has not precluded increases in total dollar value of imports in higher processing stages, especially since 1970. Since fabrics with a relatively stable average price accounted for the major importation of cotton textiles during the 1964–1973 period, the overall control by quantity in this decade was still quite good, even though average prices of apparel were rising.     

AN APPLICATION OF SEQUENTIAL REGRESSION MULTIPLE IMPUTATION ON PANEL DATA

The relatively new sequential regression multiple imputation (SRMI) method is introduced, with the process of SRMI laid out in detail. The Project for Statistics on Living Standards and Development and the follow‐up KwaZulu‐Natal Income Dynamics Study provide the real panel data on which the methods reviewed are applied. The SRMI process is used to create multiple datasets completed with values imputed for data originally missing, and using the error component model estimation procedures and Rubin's rules, inferences on the panel data are made. Conclusions are drawn as to the applicability of the SRMI process to these data and as to the results of the regression analyses completed.     

An Event Option Pricing Model with Scheduled and Unscheduled Announcement Effects

There is considerable evidence supporting the time-varying distribution of asset returns. There is also ample evidence that scheduled announcement events such as money supply announcements (in the case of foreign exchange), earnings announcements (in the case of stocks), and crop reports (in the case of commodities), as well as random unscheduled events, can affect the level and volatility of asset returns. This study provides an Event Model for European call options which explicitly addresses effects of these two classes of events. This specification requires estimation of more parameters, but it could provide a more accurate basis for pricing options than previous Poisson jump-diffusion models. Parametric analysis shows that the standard models under price the options relative to the Event Model. The Event Model may be particularly useful in pricing short-term deep out-of-the-money options when scheduled events are present in the market.     

Exchange Rates, Market Structure, Prices and Imports*

Eighteen months after sizable declines in the US and Australian dollars in 1985, the trade accounts of both countries showed little improvement In some markets import prices failed to decline as expected Was this due to normal lags, or are there markets where exchange rate responses are limited? This paper analyzes the impact of firm behaviour and market structure on the sensitivity of import markets to exchange rate changes.     

The significance of fragrance and olfactory acuity for the consumer household product market

The research for this paper evolved from fragrance investigations undertaken within the Product Evaluation Department at SC Johnson Research and Development Centre. It aims to assess the odour perception capabilities of consumers, to compare their odour perception levels and fragrance preferences and to determine whether gender or age affect differential sensitivity to odours. Research into olfaction is inconclusive, but it is valuable for establishing some of the factors which affect the sense of smell. Olfaction and the realm of fragrance are closely related and one cannot be fully understood without the other. Both concepts will be examined through this research and reference will be made to the ‘trickle-down effect’ which is of particular relevance to the household product market.     

Accounting for Expenditure on Intangibles

In search of a unifying measurement feature on which to base a more systematic and potentially comprehensive analysis of intangibles, this paper first analyses the economic and accounting properties of intangibles, and second, empirically evaluates managerial practices for measuring and analysing expenditure on intangibles. We present evidence from a survey of 614 large Australian firms that suggests gaps in the extent with which firms plan, monitor, record, analyse, and report on intangibles. Third, we evaluate the implications of our analysis and survey for accounting practice. Our evidence suggests GAAP has a role to provide guidance that helps firms identify and classify their expenditure on intangibles in ways that elucidate the strategic implications of the different types of intangibles for future output. A secondary step for accountants, after identifying and classifying the expenditure on intangibles, is to apply a capitalization test to distinguish expenses from assets. The current asymmetric treatment of expenditure on purchased versus internally generated intangibles is not supportable on economic grounds. However, economists identify weak property rights as a major cause of uncertainty associated with the outcomes from expenditure on intangibles, suggesting verifiable property rights is a unifying measurement feature on which to base a capitalization test for intangible assets.