Systematic methods for improving response rates in surveys has been an area of interest for researchers for some time following the articulation of the Total Design Method (Dillman 1978) which included applying aspects of social influence and social exchange theory to encourage responses. One part of the literature focused on the idea of offering a tangible but token incentive to respondents at the time of the request for data. Subsequent research and experience has shown that appropriate incentives do improve respondent cooperation in terms of obtaining better response rates (eg Singer and Wilmot 1997; Yammarino, Skinner and Childers 1991). The focus of most work has been on using monetary or token material incentives for surveys of individuals, so little is known about the problem of how to motivate businesses and the individuals in them to respond. The situation of National Statistical Organisations (NSOs) conducting surveys of businesses is also different to that of many other survey researchers. Differences can include larger sample sizes, greater frequency of repeating surveys, the mandatory nature of such surveys, legislative provisions that limit the types of incentives that can be offered (eg no paying for data), and community perceptions about appropriate of activity funded from taxation. Official surveys of businesses require very reliable data for major economic indicators and so expend considerable effort on getting high response rates to minimise non-response bias. Obtaining high response rates is a costly and labour-intensive process involving follow-up techniques that impose a further burden and irritation on respondents, so any methods to achieve even small increases in response rates offers significant cost, data quality and timeliness gains. One incentive that NSOs may be able to offer is access to their own published statistics. This conforms to principles that incentives should be token but also worthwhile, show regard for the respondent's effort in proving data and illustrates how their data is used in major economic statistics, decision based on which may affect them. Our results show that the incentive had a positive effect on response by the due date. 2. Design