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DSGE Estimation Using Generalized Empirical Likelihood and Generalized Minimum Contrast [PDF]
We investigate the performance of estimators of the generalized empirical likelihood and minimum contrast families in the estimation of dynamic stochastic general equilibrium models, with particular attention to the robustness properties under ...
Gilberto Boaretto +1 more
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Empirical Likelihood Statistical Inference for the BINAR(1) Process [PDF]
In this paper, we apply the empirical likelihood (EL) approach to the bivariate first-order integer-valued autoregressive (BINAR(1)) model. The maximum empirical likelihood (MEL) estimator for this process is constructed by the empirical likelihood ratio
Yan Liu, Yifei Wang, Bo Shao
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This paper investigates a first-order mixed integer-valued autoregressive model based on the binomial thinning operator. The proposed MINAR(1) model allows the count process to evolve under heterogeneous autoregressive mechanisms and therefore provides ...
Qi Li +3 more
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The present paper considers an empirical likelihood approach for testing equality of autocorrelation coefficients in two independent stationary time series.
Reinis Alksnis, Janis Valeinis
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Semiparametric fractional imputation using empirical likelihood in survey sampling [PDF]
The empirical likelihood method is a powerful tool for incorporating moment conditions in statistical inference. We propose a novel application of the empirical likelihood for handling item non-response in survey sampling.
Sixia Chen, Jae kwang Kim
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Implementing empirical likelihood within the causal inference framework to study causal effects of air pollution on reproductive development. [PDF]
Sharghi S +4 more
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Confidence Regions for Parameters in Stationary Time Series Models With Gaussian Noise
This article develops two new empirical likelihood methods for long-memory time series models based on adjusted empirical likelihood and mean empirical likelihood.
Xiuzhen Zhang +3 more
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This paper studies the estimation and inference of a partially linear varying coefficient spatial autoregressive panel data model with fixed effects. By means of the basis function approximations and the instrumental variable methods, we propose a two ...
Sanying Feng, Tiejun Tong, Sung Nok Chiu
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A selective review of statistical methods using calibration information from similar studies
In the era of big data, divide-and-conquer, parallel, and distributed inference methods have become increasingly popular. How to effectively use the calibration information from each machine in parallel computation has become a challenging task for ...
Jing Qin, Yukun Liu, Pengfei Li
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On copula moment: empirical likelihood based estimation method [PDF]
Purpose – In this paper, the authors applied the empirical likelihood method, which was originally proposed by Owen, to the copula moment based estimation methods to take advantage of its properties, effectiveness, flexibility and reliability of the ...
Jihane Abdelli, Brahim Brahimi
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