We assess whether the probability of a sample member participating at a particular wave of a panel survey is greater if the same interviewer is deployed as at the previous wave. Previous research on this topic mainly uses non-experimental data. Consequently, a) interviewer change is generally...

Business cycle indicators based on the balance statistics are a widely used method tomonitor the actual economic situation. In contrast to official data, indicators frombusiness surveys are early available and typically not revised after their first publication.But as surveys can be in general...

The management of the transition to bioeconomy has developed relatively recently, to cope with the challenges of the 21st century. The determinants of transition are related to economic, social, biological and environmental evolution. In particular, the envisaged factors consist in demographic...

We adopt the Jackknife Model Averaging (JMA) technique to conduct a meta-regression analysis of 925 renminbi (RMB) misalignment estimates generated by 69 studies. The JMA method accounts for model selection and sampling uncertainties, and allows for non-nested model specifications and...

We propose and experimentally test two tractable methods to incentivize the elicitation of private information: Benchmark and Coordination. Both mechanisms capitalize on the false consensus effect, a well-documented phenomenon that follows Bayesian reasoning. That is, individuals use their own...

The purpose of this paper is to develop and estimate a new equilibrium model of public housing that acknowledges the fact that the demand for public housing may exceed the available supply. We show that ignoring these supply side restrictions leads to an inconsistent estimator of household...

When the information of many individuals is pooled, the resulting aggregate often is a good predictor of unknown quantities or facts (“wisdom of crowds”). This aggregate predictor frequently outperforms the forecasts of experts or even the best individual forecast included in the aggregation...

We propose in this paper a dynamic n-state transition model to correct for measurement error, that could arise for example from recall and/or design bias, in retrospective panels. Our model allows the correction of measurement errors, when very little auxiliary information is available, over a...

We model a higher education system that admits students according to their admission signal (e.g., matriculation GPA, SAT), which is, in turn, affected by their cognitive ability and socioeconomic background. We show that subsidizing education loans increases neither human capital stock nor...

We propose a fast approximate Metropolis-Hastings algorithm for large data sets embedded in a design based approach. Here, the loglikelihood ratios involved in the Metropolis-Hastings acceptance step are considered as data. The building block is one single subsample from the complete data set,...