Research methods

This paper considers the identification and estimation of hedonic models.

Economic models for hedonic markets characterize the pricing of bundles of attributes and the demand and supply of these attributes under different assumptions about market structure,

The goal of this paper is to use a semiparametric reduced form model to estimate the effects of various tuition subsidies.

This paper develops an extension of the classical multinomial logit model which approximates a class of models obtained when there is uncontrolled taste variation across agents and choices in addition to the stochastic noise inherent in the logit model.

The paper examines the impact of income on the transitions between home, living independently and first marriage of young Americans.

In this paper we explore a new approach to estimation for autoregressive panel data models, based on projecting the unobserved individual effects on the vector of observations on the lagged dependent variable.

A statistical problem that arises in several elds is that of estimating the features of an

Conditions are derived under which there is local nonparametric identification of derivatives of structural equations in nonlinear triangular simultaneous equations systems.

This paper extends behavioural microsimulation modelling so that third round effectsof a policy change can be simulated.

This paper considers the nonparametric and semiparametric methods for estimating regression models with continuous endogenous regressors.

We investigate the performance of a class of semiparametric estimators of the treatment effect via asymptotic expansions.

We consider to what extent the empirical failings of the Q model of investment can be attributed to the use of share prices to measure average q.

An exogenous impact function is defined as the derivative of a structural function with respect to an endogenous variable, other variables, including unobservable variables held fixed.

The demand for certain types of health care services depends on decisions of both the individual and the health care provider.

The impact of covariate measurement error on quantile regression functions is investigated using a small variance approximation

This paper develops and implements semiparametric methods for estimating binary response (binary choice) models withcontinuous endogenous