|Date:||07 March 2018|
|Authors:||Alexander Wolf and Denni Tommasi|
|JEL classification:||D13, D11, D12, C31, I32|
Collective models identifying resource shares are promising tools to analyze intra-household welfare and poverty. However, their empirical application has proven difficult in practice as authors contend with large standard errors and unstable estimates. This paper uses a prominent framework to show how a common feature of the structure of these models makes the task so difficult and proposes an empirical strategy to stabilize the estimates.