This paper estimates the economic and non-economic returns to volunteering for prime-aged women. A woman's decision to engage in unpaid work, and to marry and have children, is formulated as a forward-looking discrete choice dynamic programming problem. Simulated maximum likelihood estimates of...

This paper estimates the economic and non-economic returns to volunteering for prime-aged women. A woman's decision to engage in unpaid work, and to marry and have children, is formulated as a forward-looking discrete choice dynamic programming problem. Simulated maximum likelihood estimates of...

A review of the basic theory of optimal open-source software contributions points to three keyfactors affecting supply: non-pecuniary benefits, future expected monetary returns, and opensourcelicence type...

We use data from a platform that centralizes a day care matching process. We estimate parents' preferences and nursery priorities by analyzing parents' rank-ordered lists and nurseries' acceptance decisions. We account for strategic behavior by using a novel estimation approach inspired by the...

We model an environment in which individuals prefer to be in a space in which their rank is higher, be it a social space, a geographical space, a work environment, or any other comparison sphere which we refer to in this paper, and without loss of generality, as a region. When the individuals...

We demonstrate that regression models can be estimated by working independently in a row-wise fashion. We document a simple procedure which allows for a wide class of econometric estimators to be implemented cumulatively, where, in the limit, estimators can be produced without ever storing more...

This paper estimates a structural dynamic life-cycle model of outmigration where, in each period, immigrants choose whether to work in the host country, not to work but remain in the host country, or outmigrate. The model incorporates several features of existing life-cycle theories of...

This paper investigates the method of matching regarding two crucial implementation choices, the distance measure and the type of algorithm. We implement optimal full matching - a fully efficient algorithm - and present a framework for statistical inference. The implementation uses data from the...

We derive the shape of optimal unemployment insurance (UI) contracts when agents can exert search effort but face different search costs and have private information about their type. We derive a recursive solution of our dynamic adverse selection problem with repeated moral hazard. Conditions...

A review of the basic theory of optimal open-source software contributions points to three key factors affecting supply: non-pecuniary benefits, future expected monetary returns, and open-source licence type. This paper argues that existing large-scale software developer surveys are inadequate...