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This article introduces a new class of instrumental variable (IV) estimators of causal treatment effects for linear and nonlinear models with covariates. The rationale for focusing on nonlinear models is to improve the approximation to the causal response function of interest. For example, if...
Persistent link: https://www.econbiz.de/10012470874
endogeneity problem, a forefront of recent research is the development and application of endogeneity correction methods without … requiring instruments. In this article, we formulate the regressor endogeneity problem using a novel conditional copula … endogeneity model to capture the regressor-error dependence unexplained by exogenous regressors. The model relaxes the key …
Persistent link: https://www.econbiz.de/10015361483
This paper introduces an instrumental variables estimator for the effect of a binary treatment on the quantiles of potential outcomes. The quantile treatment effects (QTE) estimator accommodates exogenous covariates and reduces to quantile regression as a special case when treatment status is...
Persistent link: https://www.econbiz.de/10012472370
In this paper we study identification and estimation of a correlated random coefficients (CRC) panel data model. The …
Persistent link: https://www.econbiz.de/10012464178
This paper investigates the precision of conventional and unconventional estimates of the natural rate of unemployment (the 'NAIRU'). The main finding is that the NAIRU is imprecisely estimated: a typical 95% confidence interval for the NAIRU in 1990 is 5.1% to 7.7%. This imprecision obtains...
Persistent link: https://www.econbiz.de/10012473382
Let Y be an outcome of interest, X a vector of treatment measures, and W a vector of pre-treatment control variables. Here X may include (combinations of) continuous, discrete, and/or non-mutually exclusive "treatments". Consider the linear regression of Y onto X in a subpopulation homogenous in...
Persistent link: https://www.econbiz.de/10012480885
We explore a nonparametric mixtures estimator for recovering the joint distribution of random coefficients in economic models. The estimator is based on linear regression subject to linear inequality constraints and is computationally attractive compared to alternative, nonparametric estimators....
Persistent link: https://www.econbiz.de/10012461374
In missing data analysis, there is often a need to assess the sensitivity of key inferences to departures from untestable assumptions regarding the missing data process. Such sensitivity analysis often requires specifying a missing data model which commonly assumes parametric functional forms...
Persistent link: https://www.econbiz.de/10012462387
Implicit in the prices of traded financial assets are Arrow- Debreu state prices or, in the continuous-state case, the state-price density (SPD). We construct an estimator for the SPD implicit in option prices and derive an asymptotic sampling theory for this estimator to gauge its accuracy. The...
Persistent link: https://www.econbiz.de/10012473518
This paper is concerned with the estimation of the parameters in a dynamic simultaneous equation model with stationary …
Persistent link: https://www.econbiz.de/10012478972