Functional-Coefficient Spatial Durbin Models with Nonparametric Spatial Weights: An Application to Economic Growth
This paper considers a functional-coefficient spatial Durbin model with nonparametric spatial weights. Applying the series approximation method, we estimate the unknown functional coefficients and spatial weighting functions via a nonparametric two-stage least squares (or 2SLS) estimation method. To...
Main Authors: | Mustafa Koroglu, Yiguo Sun |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-02-01
|
Series: | Econometrics |
Subjects: | |
Online Access: | http://www.mdpi.com/2225-1146/4/1/6 |
Similar Items
-
Spatial Durbin Model (SDM) For Identified Influence Dengue Hemorrhagic Fever Factors in Kabupaten Malang
by: Indah Resti Ayuni Suri, et al.
Published: (2012-05-01) -
Multi-Step-Ahead Prediction Intervals for Nonparametric Autoregressions via Bootstrap: Consistency, Debiasing, and Pertinence
by: Dimitris N. Politis, et al.
Published: (2023-08-01) -
Uniform convergence of estimator for nonparametric regression with dependent data
by: Xiaoqin Li, et al.
Published: (2016-05-01) -
Efficient Estimation for the Derivative of Nonparametric Function by Optimally Combining Quantile Information
by: Xiaoshuang Zhou, et al.
Published: (2021-12-01) -
The Curve Estimation of Combined Truncated Spline and Fourier Series Estimators for Multiresponse Nonparametric Regression
by: Helida Nurcahayani, et al.
Published: (2021-05-01)