Parametric mixture models are commonly used in applied work, especially empirical economics, where these models are often employed to learn for example about the proportions of various types in a given population. This paper examines the inference question on the proportions (mixing probability)...

We study the problem of parameter inference in (possibly non-linear and non-smooth) econometric models when the data are measured with error. We allow for "arbitrary" correlation between the true variables and the measurement errors. To solve the identification problem, we require the existence...

Parametric mixture models are commonly used in applied work, especially empirical economics, where these models are often employed to learn for example about the proportions of various types in a given population. This paper examines the inference question on the proportions (mixing probability)...

We study the problem of parameter inference in (possibly non-linear and non-smooth) econometric models when the data are measured with error. We allow for arbitrary correlation between the true variables and the measurement errors. To solve the identification problem, we require the existence of...

Parametric mixture models are commonly used in applied work, especially empirical economics, where these models are often employed to learn for example about the proportions of various types in a given population. This paper examines the inference question on the proportions (mixing probability)...

On the basis of consulting related information and data, costs for flue-cured tobacco production were surveyed and analyzed with Liuyang tobacco growing areas as an example. Results showed that there is rise and fall in fertilizer cost for flue-cured tobacco production; change in pesticide and...

We Highlight a fast subsampling method that can be used to provide valid inference in nonlinear dynamic econometric models.

We highlight a fast subsampling method that can be used to provide valid inference in nonlinear dynamic econometric models. This method is based on the subsampling theory proposed by Politis and Romano (1992, 1994) which computes an estimator on subsamples of the data and uses these estimates to...