Collective models identifying resource shares are promising tools to analyse 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...

This paper takes a revealed preference approach for set identifying the discount factor in the exponential discounting model. My methodology allows for measurement error in prices and full heterogeneity in preferences. Using longitudinal data from checkout scanners, I obtain bounds on the...

Testing for and measuring habitual brand loyalty (HBL) is one of the classic questions in quantitative marketing. We propose a nonparametric test for HBL using a ``dynamic potential outcomes'' model that resolves the classic identification challenge of decoupling state dependence and unobserved...

As in many developing countries, mobile money was justified as a significant tool of financial inclusion in Sub-Saharan Africa. This study attempts to identify the factors motivating Rwandans to use the mobile money using the FinScope 2016 survey data collected from a random sample of 12,480...

We analyze the initial conditions bias in the estimation of brand choice models with structural state dependence. Using a combination of Monte Carlo simulations and empirical case studies of shopping panels, we show that popular, simple solutions that mis-specify the initial conditions are...

In this paper it is shown that the intratemporal and intertemporal preferences of each decision maker in the household can be identified even if individual consumption is not observed. This identification result is used jointly with the Consumer Expenditure Survey (CEX) to estimate the...

This paper studies nonparametric estimation of conditional moment models in which the residual functions could be nonsmooth with respect to the unknown functions of endogenous variables. It is a problem of nonparametric nonlinear instrumental variables (IV) estimation, and a difficult nonlinear...

We study a Tikhonov Regularized (TiR) estimator of a functional parameter identified by conditional moment restrictions in a linear model with both exogenous and endogenous regressors. The nonparametric instrumental variable estimator is based on a minimum distance principle with penalization by...

Methods for estimating equivalence scales usually rely on rather strong identifying assumptions. This paper considers a partially identified estimator for equivalence scales derived from the potential outcomes framework and using nonparametric methods for estimation, which requires only mild...

This paper studies nonparametric estimation of conditional moment restrictions in which the generalized residual functions can be nonsmooth in the unknown functions of endogenous variables. This is a nonparametric nonlinear instrumental variables (IV) problem. We propose a class of penalized...