Spectral Analysis of Advertising-Sales Interaction: An Illustration

Abstract

Cross-spectral analysis is recognized as a powerful analytical tool for the analysis of time-varying behavior in a number of disciplines. Applications in business have been limited, however, and the potential usefulness of this new approach to time series analysis has received relatively little attention in advertising. The purpose of this paper is to explain cross-spectral analysis and illustrate the use of this new technique in studying the interaction between advertising and sales.     

Perceptual differences between recruiters and students on the importance of applicant and job characteristics: a research note based on evidence from Singapore

This study compared the perceptions of various important job applicant characteristics, job characteristics and job benefits between 107 corporate recruiters and 191 business undergraduates in Singapore. Results indicated significant incongruence between recruiter and student perceptions of a large number of job characteristics and benefits. However, perceptual differences were less extensive in the case of applicant attributes. The implications of these findings, and suggestions for greater perceptual congruence between recruiters and applicants, are discussed.     

A Model for Analyzing the Impact of Selective Lapsation on Mortality

Abstract

This paper presents a model for examining the effect of various relationships between mortality rates and lapse rates on the mortality experience of a cohort of insured lives. The approach is individual rather than the aggregate traditionally used in analyzing selective lapsation. The model assumes that insured lives are healthy at policy issue, but later may move to an impaired state from which the lapse rate is zero. Associated with each insured is an unobservable “risk level” random variable, which reflects the heterogeneity of the insured group. Individual mortality and lapse rates are functions of the risk level. A numerical illustration provides some interesting results obtained by using this model.     

The effect of real rates of interest on housing prices

During the late 1970s, U.S. house prices were appreciating rapidly even though mortgage interest rates were climbing. Recently, interest rates have eased but prices have moderated. This study examines the role of appreciation expectations in overcoming the negative effects of nominal mortgage interest rates on house prices. Expectations of future appreciation are important determinants of house sales prices, remaining influential during periods of declining and moderating real prices, not just when prices are rising. The real rate of interest, as viewed by the homebuyer, is the mechanism for affecting change in housing price levels. Because the nominal interest rate is slow to reflect changes in expectations, these real rates vary over time. This ebb and flow of real interest rates appears to explain market price levels. Nominal rates play a role as well, primarily in the formation of appreciation expectations.     

The pricing of adjustable rate mortgage contracts

This article analyzes the structure of ARM contracts and the pricing of their component features, based on the view of ARMs as a complex bundle. Unlike previous studies, which have generally relied on option-based simulation techniques, our analysis specifies a microeconomic model of the lender as a profit-maximizer which is then tested using firm-specific data. The empirical results, which are consistent with the microeconomic model, indicate that the lender acts as a profit-maximizing firm in pricing the features of the ARM contract. Furthermore, the results suggest that while the interest-rate cap parameters dominate in the pricing of ARMs, other features are also important. Thus, theoretical and empirical ARM pricing models should embrace other features of the contract besides the cap parameters.     

Socioeconomic impacts of school feeding programmes: empirical evidence from a South Indian village

Tamil Nadu a poverty-stricken rural community in South India, funds a school feeding program with about 10% of the state budget. Comparisons of nutrition and literacy show that they are significantly related. No studies have yet been performed to analyse the effect of the feeding programs on aspects of a household's economic and social welfare. The feeding program in Tamil Nadu extends throughout the year, 7 days a week. It provides not only a reason for children to attend school, but also employment opportunities for those who wish to cook. 455 households were surveyed from 1 village using. A Gini coefficient of inequality to determine inequality levels of nutrition, food, and consumption expenditure. Sen's index of poverty was used to calculate the reduction in poverty levels. 3 household groups were defined: the agricultural labor, the silk weaver, and the cultivator. Linear program modelling utilized these 3 groups to study the total effect of nutrition on education. Linear regression was then used to determine the effect of the feeding program on participation in school. At the village level, a reduction of inequality in consumption and intake, an increase in energy intake, and a decrease in poverty level were found. In agricultural labor and silk weaver households, most of the money was spent on cereal food grains and children were mostly uneducated. If modelled to assume that children must be educated and are educated in schools providing food, results suggest that the increase in nutrition helps retain the children in the schools. Cultivator household response to the food programs was poor, since they usually have enough money to meet nutritional needs. Household income and school nutrition, but not adult literacy affect school participation. In general, nutrition offered in school caused a subsequent increase in household purchases of non-cereal items in the first 2 household types.     

Hazardous Occupations Within the Job Hierarchy

Firms using hazardous technologies face strong incentives to reduce job skill and training requirements so as to minimize the level of compensating wage differentials they must pay. This note examines the outcome of this process in terms of the location of hazardous occupations within the overall structure of jobs. Using four independent sources of data for the period 1974 to 1982, hazardous Occupations are found to offer significantly less worker autonomy, less on-the-job training, poorer promotion possibilities, greater risk of temporary and permanent layoff, and lower wage levels than safe occupations.     

Regularity conditions and scope estimates: The case of large-sized U.S. banks

We consider economies and diseconomies of scope for large U.S. banks by employing ordinary and hybrid translog cost functions. We examine the regularity conditions in output space where scope estimates are calculated and reject all models for which these conditions fail. The translog model always possesses violations. For the hybrid translog, violations occur in every case except one. In this one case, we find economies of scope.