(Econometric) model development, including:

regression analyses

Of course, you can calculate a mean, such as the mean income for all Dutch nationals. But would you rather know how income, on the one hand, is interconnected with, say, age, educational attainment level, region, and employment record, on the other? Then regression analyses may be the solution, as these quickly demonstrate interrelationships in just a few key parameters. Moreover, regression analyses also allow you to produce forecasts.

time series analyses

Time series analyses are a specific type of regression analysis, with data being known over a particular time series, often longer periods of time. They are used, for example, in forecasting developments on financial markets.

stated preference analyses

A Stated Preference analysis comprises two parts: a traditional questionnaire, with questions on background variables (such as age, politics, sex, income, etc.), and a number of choice situations, each with two or more options. Respondents will then be asked to choose one option. By distributing choice options over all respondents in a smart way, we prevent the occurrence of respondent overload.

Examples of projects handled by CentERdata in this way include a law enforcement study for the Ministry of Justice, training preference studies training preference studies for the Institute for Labour Studies (OSA), and pension preference studies for the Ministry of Finance.