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.     

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.     

Empirical tests of real estate market efficiency

Recent empirical research using real estate data has supported the weak and semi-strong forms of the efficient markets hypothesis. Previous studies have not included an estimate of expected appreciation into the tests of market efficiency, thus raising a question about the reliability of the results. We first use a market model to test for market efficiency with results similar to those reported by others. We next use a dynamic multiple indicator, multiple cause (DYMIMIC) model, which extracts a vector of expected appreciation from the price data, to test market efficiency. This approach produces superior results and a stronger conclusion about the efficiency of housing markets. The results indicate limited adjustment delays which can be explained by the existence of high transactions and search costs.     

Cross-Hedging: Basis Risk and Choice of the Optimal Hedging Vehicle

The basis between a futures contract and its underlying instrument is an important measure of the cost of using the futures contract to hedge. In a cross-hedge, the relative size of the basis of alternative hedging vehicles often plays a decisive role in the selection of the optimal hedging vehicle. After adjusting hedge ratios for basis risk, a genuine risk-cost trade-off is seen in hedging 90-day certificates of deposit with either the Treasury bill contract or the Eurodollar contract. The Eurodollar contract was not uniformly superior as generally believed.     

Statistical properties of returns: Financial assets versus commercial real estate

This study examines the distribution of commercial real estate returns by region (east, midwest, south, and west), by property type (office, retail, R&D office, and warehouse) and in the aggregate, and compares their distributions to those of financial assets. Nominal and real returns are examined for quarterly, semiannual, and annual periods. The quarterly nominal returns on the financial assets are mostly normal with very little indication of autocorrelation. In contrast, non-normality and autocorrelation are present in most of the nominal quarterly real estate series. The non-normality is greatly reduced when semiannual or annual returns are considered or when the quarterly series are corrected for autocorrelation. The non-normality is also lower for real returns than it is for nominal returns.