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Testing high-dimensional covariance matrices under the elliptical distribution and beyond

期刊: JOURNAL OF ECONOMETRICS, 2021; 221 (2)

We develop tests for high-dimensional covariance matrices under a generalized elliptical model. Our tests are based on a central limit theorem for lin......

Autoregressive models for matrix-valued time series

期刊: JOURNAL OF ECONOMETRICS, 2021; 222 (1)

In finance, economics and many other fields, observations in a matrix form are often generated over time. For example, a set of key economic indicator......

Estimation of dynamic panel spatial vector autoregression: Stability and spatial multivariate cointegration

期刊: JOURNAL OF ECONOMETRICS, 2021; 221 (2)

This paper introduces dynamic panel spatial vector autoregressive models. We study features of dynamics and spatial interactions that an SVAR model ca......

Robust and optimal estimation for partially linear instrumental variables models with partial identification

期刊: JOURNAL OF ECONOMETRICS, 2021; 221 (2)

This paper studies robust and optimal estimation of the slope coefficients in a partially linear instrumental variables model with nonparametric parti......

Revisiting the location of FDI in China: A panel data approach with heterogeneous shocks

期刊: JOURNAL OF ECONOMETRICS, 2021; 221 (2)

Foreign Direct Investment (FDI) is viewed as a primary driving force in shaping the global economy and receives particular attention in empirical stud......

High dimensional minimum variance portfolio estimation under statistical factor models

期刊: JOURNAL OF ECONOMETRICS, 2021; 222 (1)

We propose a high dimensional minimum variance portfolio estimator under statistical factor models, and show that our estimated portfolio enjoys sharp......

Volatility analysis with realized GARCH-Ito models

期刊: JOURNAL OF ECONOMETRICS, 2021; 222 (1)

This paper introduces a unified approach for modeling high-frequency financial data that can accommodate both the continuous-time jump-diffusion and d......

Model averaging prediction for time series models with a diverging number of parameters

期刊: JOURNAL OF ECONOMETRICS, 2021; 223 (1)

An important problem with the model averaging approach is the choice of weights. In this paper, a generalized Mallows model averaging (GMMA) criterion......

Uncovering heterogeneous social effects in binary choices

期刊: JOURNAL OF ECONOMETRICS, 2021; 222 (2)

We identify and estimate heterogeneous social effects within groups of individuals that make binary choices. These heterogeneous social effects, which......

Time-varying model averaging?

期刊: JOURNAL OF ECONOMETRICS, 2021; 222 (2)

Structural changes often occur in economics and finance due to changes in preferences, technologies, institutional arrangements, policies, crises, etc......

Recursive estimation in large panel data models: Theory and practice

期刊: JOURNAL OF ECONOMETRICS, 2021; 224 (2)

Bai (2009) proposes recursive estimation for panel data models with interactive effects. We study the behaviours of this recursive estimator. The recu......

Dynamic spatial panel data models with common shocks

期刊: JOURNAL OF ECONOMETRICS, 2021; 224 (1)

This paper studies dynamic spatial panel data models with common shocks to deal with both weak and strong cross-sectional correlations. Weak correlati......

The medium-run efficiency consequences of unfair school matching: Evidence from Chinese college admissions

期刊: JOURNAL OF ECONOMETRICS, 2021; 224 (2)

In this paper, we empirically examine how unfair (i.e. negatively assortive) matching between colleges and students affects the medium-run allocative ......

The implied arbitrage mechanism in financial markets

期刊: JOURNAL OF ECONOMETRICS, 2021; 222 (1)

The no-arbitrage condition is a cornerstone concept in financial market research. However, the arbitrage mechanism that is inherent in the trading pro......

Nonparametric estimation of large covariance matrices with conditional sparsity

期刊: JOURNAL OF ECONOMETRICS, 2021; 223 (1)

This paper studies estimation of covariance matrices with conditional sparse structure. We overcome the challenge of estimating dense matrices using a......

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