PEDAKSI: Methodology for Collecting Data about Survey Non-Respondents

The effects of unit non-response on survey errors are of great concern to researchers.However, direct assessment of non-response bias in survey estimates is rarely possible.Attempts are often made to adjust for the effects of non-response by weighting, but thisusually relies on the use of frame data or external population data, which are at bestmodestly correlated with the survey variables. This paper reports the development ofa method to collect limited survey data from non-respondents to personal interviewsurveys and a large-scale field test of the method on the British Crime Survey (BCS).The method is shown to be acceptable and low cost, to provide valid data, and to haveno detrimental effect on the main survey. The use of the resultant data to estimatenon-response bias is illustrated and some substantive conclusions are drawn for the BCS.     

Analysts' Forecasts and the Broker Relationship

Analysts' ability to forecast earnings per share has been the subject of considerable debate. A concern highlighted in previous research is the agency problem which may arise when analysts have a close working relationship with the firms for which they are providing forecasts. This paper provides evidence that this relationship does not improve the accuracy of the earnings forecasts, but stimulates optimistic forecasts. In addition, the paper examines whether firm size is a factor in forecast accuracy or bias.     

Ex-Day Price Behaviour, Market Microstructure and Settlement Costs

It is well documented that share prices on ex-dividend days drop by less than the value of the dividends paid. However, the explanations offered to date remain inconclusive. This study examines the behaviour of share prices on ex-dividend days using data from the UK after the introduction of the 1988 Income and Corporation Taxes Act. Following [10] we sub-divide the data conditional on the size of the dividend paid. We find that for the large dividend sub-sample, when the impact of market micro-structure is taken into account, the ex-dividend price drop is not significantly different to the value of the dividend paid.     

中美生物技术合作

I see a big growth potential for the US and Chinese biotechnology partnerships for the next years. US biotechnology sector is generating already more than $50 billion dollars. Chinese bio-technology will grow in the next 20 years to more than 11 billion yuan (US 1.33 billion) annually.     

Seasonality and Markov switching in an unobserved component time series model

It is generally acknowledged that the growth rate of output, the seasonal pattern, and the business cycle are best estimated simultaneously. To achieve this, we develop an unobserved component time series model for seasonally unadjusted US GDP. Our model incorporates a Markov switching regime to produce periods of expansion and recession, both of which are characterized by different underlying growth rates. Although both growth rates are time-varying, they are assumed to be cointegrated. The analysis is Bayesian, which fully accounts for all sources of uncertainty. Comparison with results from a similar model for seasonally adjusted data indicates that the seasonal adjustment of the data significantly alters several aspects of the full model. First Version Received: January 2001/Final Version Received: February 2002 Send offprint requests to: Rob Luginbuhl?Correspondence to: Rob Luginbuhl     

Risks in new product development: devising a reference tool

This paper describes the development and applicability of a risk reference framework (RRF) for diagnosing risks in technological breakthrough projects. In contrast to existing risk identification strategies, the RRF centers on an integral perspective on risk (i.e. business, technological and organizational) and the assessment of risks in ongoing projects. The resulting RRF consists of 12 main risk categories and 142 connected critical innovation issues and has been developed for a globally operating company in the fast-moving consumer goods industry. Our analyses show that to some extent different project members identified the same risks and that saturation occurred in the number of new risk-issues brought to light. We conclude that the success of breakthrough innovation projects improves through formal risk-assessment.