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Moment estimation for censored quantile regression

期刊: ECONOMETRIC REVIEWS, 2021; 40 (9)

In influential articles Powell (Journal of Econometrics 25(3):303-325, 1984; Journal of Econometrics 32(1):143-155, 1986) proposed optimization-based ......

Estimation of average treatment effect based on a semiparametric propensity score

期刊: ECONOMETRIC REVIEWS, 2021; 40 (9)

This paper considers the estimation of average treatment effect using propensity score method. We propose to use a semiparametric single-index model t......

Determination of different types of fixed effects in three-dimensional panels*

期刊: ECONOMETRIC REVIEWS, 2021; 40 (9)

In this paper, we propose a jackknife method to determine the type of fixed effects in three-dimensional panel data models. We show that with probabil......

Sequential and efficient GMM estimation of dynamic short panel data models

期刊: ECONOMETRIC REVIEWS, 2021; 40 (10)

This paper considers generalized method of moments (GMM) and sequential GMM (SGMM) estimation of dynamic short panel data models. The efficient GMM mo......

Semiparametric inferences for panel data models with fixed effects via nearest neighbor difference transformation

期刊: ECONOMETRIC REVIEWS, 2021; 40 (10)

In this paper, we propose a simple method to estimate a partially varying-coefficient panel data model with fixed effects. By taking difference upon t......

Monotonicity-constrained nonparametric estimation and inference for first-price auctions

期刊: ECONOMETRIC REVIEWS, 2021; 40 (10)

In the independent private values framework for first-price auctions, we propose a new nonparametric estimator of the probability density of latent va......

Estimation of high-dimensional seemingly unrelated regression models

期刊: ECONOMETRIC REVIEWS, 2021; 40 (9)

In this article, we investigate seemingly unrelated regression (SUR) models that allow the number of equations (N) to be large and comparable to the n......

Smoothed maximum score estimation with nonparametrically generated covariates

期刊: ECONOMETRIC REVIEWS, 2021; 40 (8)

This paper develops a two-stage semiparametric procedure to estimate the preference parameters of a binary choice model under uncertainty. In the mode......

Partially linear functional-coefficient dynamic panel data models: sieve estimation and specification testing

期刊: ECONOMETRIC REVIEWS, 2021; 40 (10)

We study the nonparametric estimation and specification testing for partially linear functional-coefficient dynamic panel data models, where the effec......

Market integration, systemic risk and diagnostic tests in large mixed panels

期刊: ECONOMETRIC REVIEWS, 2021; 40 (8)

This study investigates an AR (autoregressive)-filtered version of several conventional diagnostic tests for cross-sectional dependence in large mixed......

Forecasting crude oil price intervals and return volatility via autoregressive conditional interval models

期刊: ECONOMETRIC REVIEWS, 2021; 40 (6)

Crude oil prices are of vital importance for market participants and governments to make energy policies and decisions. In this paper, we apply a newl......

Right tail information and asset pricing

期刊: ECONOMETRIC REVIEWS, 2021; 40 (8)

The right tail of the distribution of financial variables provides important information to investors and decision-makers. In this paper, we study the......

An asymptotically F-distributed Chow test in the presence of heteroscedasticity and autocorrelation

期刊: ECONOMETRIC REVIEWS, ; ()

This study proposes a simple, trustworthy Chow test in the presence of heteroscedasticity and autocorrelation. The test is based on a series heterosce......

Model averaging in a multiplicative heteroscedastic model

期刊: ECONOMETRIC REVIEWS, 2020; 39 (10)

In recent years, the body of literature on frequentist model averaging in econometrics has grown significantly. Most of this work focuses on models wi......

Estimation of fixed effects dynamic panel data models: linear differencing or conditional expectation

期刊: ECONOMETRIC REVIEWS, 2020; 39 (8)

This note discusses the pros and cons of using the conditional mean approach of Mundlak and Chamberlain and the linear difference approach to deal wit......

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