Dieser Aufsatz beschreibt neuere Entwicklungen in der Aggregationstheorie sowie ausgewählte empirische Arbeiten. Diese stellen exemplarisch dar, wie die Mikroökonometrie eingesetzt werden kann, um Aggregationsprobleme zu untersuchen und approximative Lösungen zu finden. Der Schwerpunkt liegt...

We analyze how machine learning predictions may improve antibiotic prescribing in the context of the global health policy challenge of increasing antibiotic resistance. Estimating a binary antibiotic treatment choice model, we find variation in the skill to diagnose bacterial urinary tract...

In the fight against antibiotic resistance, reducing antibiotic consumption while preserving healthcare quality presents a critical health policy challenge. We investigate the role of practice styles in patients' antibiotic intake using exogenous variation in patient-physician assignment....

Inefficient human decisions are driven by biases and limited information. Health care is one leading example where machine learning is hoped to deliver efficiency gains. Antibiotic resistance constitutes a major challenge to health care systems due to human antibiotic overuse. We investigate how...

Many budget surveys present the interesting features that for a wide range of goods they contain quantity information along with expenditure information, and that the geographical location of households is fairly precise. We take advantage of these features to develop a method for estimation of...

The availability of quantity information along with expenditure information in some household surveys allows the estimation of price reactions on the basis of unit values. We compare two specifications that have been proposed in this context by Deaton (1990) and Crawford et al. (1997) in order...