OxTalks will soon move to the new Halo platform and will become 'Oxford Events.' There will be a need for an OxTalks freeze. This was previously planned for Friday 14th November – a new date will be shared as soon as it is available (full details will be available on the Staff Gateway).
In the meantime, the OxTalks site will remain active and events will continue to be published.
If staff have any questions about the Oxford Events launch, please contact halo@digital.ox.ac.uk
We consider the class of fixed-Tpanel models where the response variable is an unknown function of a linear latent variable with fixed effects, regressors, and an error term. We call this class Fixed Effects Linear Transformation, or FELT. The key distinction from existing models in FELT is that the unknown function may be weakly monotonic and time-varying. This distinction accommodates outcomes and regressors that are discrete or continuous, and allows the unknown function to differ arbitrarily across periods. We provide new identification results for the structural parameters in FELT, as well as for specific features of the conditional distribution of the fixed effects. Our results allow for serial correlation and require only two time periods.
We estimate the structural parameters of a full-commitment intertemporal collective household model whose implied observable demand equations fit into the FELT class. The model requires time-varying response functions and has a direct interpretation for fixed effects: they are the resource shares of household members. Using consumption data from Bangladesh, we show that women’s resource shares are correlated with household budgets and not fully explained by observed covariates.
Meetings will take place on Wednesday 6th May, please sign up here: docs.google.com/spreadsheets/d/1rI8H6P57CT2OIxNK-PUc5PPsKzaS2A3n0wUDpJXA4Rw/edit#gid=0
