GMM estimation of simultaneous spatial panel data dynamic models with high order models approach

1st International Conference on Environmental Geography and Geography Education

生态环境科学;地球科学

Kusrini, D.E.^1 ; Setiawan^2 ; Ruchjana, B.N.^1 ; Kuswanto, H.^1

Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia^1

Universitas Padjadjaran, Bandung, Indonesia^2

关键词: Gmm estimations;    High order model;    Instrumental variables;    Model parameters;    Panel data;    Parameterized;    Simulation data;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/243/1/012048/pdf
DOI  :  10.1088/1755-1315/243/1/012048

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

This paper shows the process of changing Simultaneous Spatial panel data dynamic Equations (SSPDD) into a high order model, which is then, parameterized in the high order model using the General method of Moment (GMM). The estimation steps start by forming the reduced form equation, and then form the instrumental Variable (IV) vector which is used to form the moment matrix gnt (θ). This moment matrix is used to calculate the estimated value of the model parameters. In this paper, the results of parameter estimation have not been tested with data or simulations so that it is recommended to do further testing using simulation data.