Some general results for moments in bivariate distributions

The purpose of this paper is to present a closed formula to compute the moments of a general function from the knowledge of its bivariate survival function. The result is derived by utilizing an integration by parts formula for two variables, which is not readily available in the literature. Many of the existing results are obtained as special cases. Finally, two examples are presented to illustrate the results. In both the examples, mixed moments as well as moments for the series system and parallel system are obtained. The integration by parts formula in two variables, derived here, is of interest in its own right and we hope that it will be useful in other investigations. The integration by parts formula in two variables is derived as a special case of a general formula in n variables.     

Demographic determinants of incident experience and risk perception: do high-risk groups accurately perceive themselves as high-risk?

This paper analyzes demographic determinants of incident experience and risk perception, as well as the relationship between the two, for eight different risk domains. Analyses were conducted by merging the results of a Swedish population-based survey, which includes approximately 15,000 individuals, with demographic and socio-economic register data. Being male was associated with higher incident experience yet a lower risk perception for nearly all risk domains. Lower socioeconomic status was associated with higher incident experience for falls, and being a victim of violence but lower incident experience for road traffic accidents. Lower socioeconomic status was also associated with higher risk perception for falls. On aggregate, ranking the different domains, respondents’ risk perception was in almost perfect correspondence to the ranking of actual incident experience, with the exception that the risk of being a victim of violence is ranked higher than indicated by actual incident experience. On a demographic group level, men and highly educated respondents perceive their risks to be lower than what is expected considering their actual incident experience.     

Property Prices and Exposure to Multiple Noise Sources: Hedonic Regression with Road and Railway Noise

This study examines the effect of road and railway noise on property prices. It uses the hedonic regression technique on a Swedish data set that contains information about both road and railway noise for each property, and finds that road noise has a larger negative impact on the property prices than railway noise. This is in line with the evidence from the acoustical literature which has shown that individuals are more disturbed by road than railway noise, but contradicts recent results from a hedonic study on data of the United Kingdom.     

Risk Preferences Regarding Multiple Fatalities and Some Implications for Societal Risk Decision Making—An Empirical Study

Risk preferences related to accidents or other situations involving the possibility of multiple fatalities were studied in 87 persons in Sweden belonging to two separate groups with professional or educational knowledge of risk‐ and crisis‐management issues. Use was made of a tradeoff method, the results obtained consisting of von Neuman–Morgenstern utility functions over the range of 0–1000 fatalities. Most of the utility curves for the number of fatalities were found to be convex, implying the majority of subjects to display risk‐seeking behaviour. Implications of the findings for societal risk decision making are discussed, along with prospective areas of application and the possibilities of considering other dimensions than the number of fatalities.     

Über die Darstellung willkürlicher Funktionen durch Charliersche Differenzreihen

Abstract

Let us survey an economic subject A₀ who at the point t₀ is planning to offer for sale a number q of lots during a space of time = selling period of lottery ticket.     

Consumer understanding of food labels: toward a generic tool for identifying the average consumer

The ‘average consumer’ is referred to as a standard in regulatory contexts when attempts are made to benchmark how consumers are expected to reason while decoding food labels. An attempt is made to operationalize this hypothetical ‘average consumer’ by proposing a tool for measuring the level of informedness of an individual consumer against the national median at any time. Informedness, i.e. the individual consumer's ability to interpret correctly the meaning of the words and signs on a food label is isolated as one essential dimension for dividing consumers into three groups: less-informed, informed, and highly informed consumers. Consumer informedness is assessed using a 60-question test related to information found on a variety of Danish everyday food products and divided into factual questions and informedness about signpost labels. A test was made with 407 respondents who participated in four independent studies on fairness in consumer communication, and the average score for all was 57.6% of correct answers. A score of 64% and beyond would place a consumer in the upper quartile (the group of highly informed consumers), whereas a score of 52% or below would place the individual in the lower quartile (the group of less-informed consumers). Female respondents performed better than males on label recognition, and those around 40 years of age irrespective of gender performed best on factual knowledge, whereas those aged around 30 performed best on label recognition. It is foreseen that independent future studies of consumer behavior and decision making in relation to food products in different contexts could benefit from this type of benchmarking tool.     

Testing the Porter hypothesis: the effects of environmental investments on efficiency in Swedish industry

The main objective of this paper is to test the Porter hypothesis by assessing static and dynamic effects of environmental policy on productivity. According to the hypothesis, stringent environmental regulations have dynamic effects on firm performance, and these effects eventually generate profits that offset the adaptation costs. We extend previous analyses by using unique data on environmental protection investments in the Swedish manufacturing industry as a proxy for environmental stringency. These data enable us to separate environmental protection investments into pollution prevention and pollution control. This distinction is crucial since the hypothesis claims that it is investments in prevention that have positive dynamic effects on firm performance. To test the hypothesis, a stochastic production frontier model is estimated where firm inefficiency is a function of investments in environmental protection. In general, we find no support for the Porter hypothesis within the time frame of our study, indicating that environmental regulations lead to efficiency losses. This result is even stronger in the harshly regulated pulp and paper industry.     

The cause of Danish unemployment: Demand or supply shocks?

We study the Danish unemployment experience 1905–92 using a common trends model with cointegration constraints. To justify the identifying assumptions about the cointegration vectors and the common trends we present a simple macroeconomic model of the labor market. The model determines the long run behavior of labor productivity, employment, unemployment, real product and real consumer wages. The empirical results give support for three cointegration relations and two common trends. Based on the economic model the trends are interpreted as representing labor productivity (technology) and labor supply. With unemployment being nonstationary, the common trends analysis indicates that labor supply shocks is the primary source for explaining the behavior of unemployment. First Version Received: August 1999/Final Version Received: June 2000     

Anchor Points, Reference Points, and Counteroffers in Negotiations

Based on the theoretical assumptions that counteroffers are generated through an anchoring-and-adjustment process and that offers are perceived as gains or losses relative to a reference point, predictions were made of how, in a price negotiation, the size of counteroffers vary with proposed selling prices and reservation prices. The predictions were confirmed in two experiments. In Experiment 1, 64 undergraduate students of business administration playing the role of buyers of condominiums were presented proposed selling prices and asked to give a counteroffer which a hypothetical seller would accept or reject. A reference point was induced by telling subjects their reservation price. Before giving a counteroffer subjects were asked to indicate whether it was higher or lower than an arbitrary anchor point. In four different groups of subjects, high vs. low reference point was crossed with high vs. low anchor point. The results showed as expected that the counteroffers were higher for a high than for a low anchor point, and higher for a high reference point when the anchor point was perceived as a gain than for a low reference point when the anchor point was perceived as a loss. In Experiment 2 in which another 48 undergraduate students of business administration participated, the anchor points were the proposed selling prices and the reference point (reservation price) was manipulated by providing estimates of the market price. The results were as predicted, thus suggesting that the proposed selling prices operated as anchor points and that the estimated market prices affected the reservation prices (reference points) so that the selling prices and estimated market prices jointly affected the counteroffers.