We provide a .first nonparametric (revealed preference) test of the collective consumption model on the basis of experimental data. By using nonparametric testing tools and experimental data, we avoid the usual problems associated with parametric tests (e.g. non-verifiable parametric structure)...

We propose a method to identify bounds (i.e. set identification) on the sharing rule for a general collective household consumption model. Unlike the effects of distribution factors, it is well known that the level of the sharing rule cannot be uniquely identified without strong assumptions on...

We propose a method to quantify the willingness-to-pay for the consumption of others in group decisions. Our method is based on revealed preference theory. It measures willingness-to-pay for others' consumption by evaluating positive consumption externalities in monetary terms. Within the...

We extend a recently developed methodology for measuring the efficiency of Decision Making Units (DMUs) in the case of multiple inputs and outputs. The methodology accounts for economies of scope through the use of joint inputs, and explicitly includes information about the allocation of inputs...

We develop a novel framework to analyze the structural implications of the marriage market for household consumption patterns. We start by defining a revealed preference characterization of efficient household consumption when the marriage is stable. In particular, stability means that the...

We present an IP-based nonparametric (revealed preference) testing procedure for rational consumption behavior in terms of general collective models, which include consumption externalities and public consumption. An empirical application to data drawn from the Russia Longitudinal Monitoring...

We apply the collective consumption model of Browning, Chiappori and Lewbel (2006) to analyse economic well-being and poverty among the elderly. The model focuses on individual preferences, a consumption technology that captures the economies of scale of living in a couple, and a sharing rule...

Non-radial measures of technical efficiency essentially differ from their radial counterparts in that the product mix of the efficient reference is allowed to be different from the product mix of the evaluated observation. Whereas existing non-radial measures are still based on the product mix...

We develop a series of novel conceptual tools to systematically account for errors-in-variables in Data Envelopment Analysis (DEA). These tools allow for statistical inference while requiring minimal statistical distribution assumptions, and therefore constitute a valuable addition to the tools...