數(shù)量經(jīng)濟學研討會      
      報告人：李鯤鵬 首都經(jīng)濟貿(mào)易大學 國際經(jīng)濟管理學院          時間：5月30日 中午12:00-13:30          地點：明主734          Title: Spatial panel data models with structural changes          Abstract: Spatial panel data models are widely used in empirical studies. The existing theories of spatial models so far have largely confine the analysis under the assump- tion of parameters stabilities. This is unduely restrictive, since a large number of studies have well documented the presence of structural changes in the relationship of economic variables. This paper proposes and studies spatial panel data models with structural change. We consider using the quasi maximum likelihood method to estimate the model. Static and dynamic models are both considered. Large-T and fixed-T setups are both considered. We provide a relatively complete asymptotic theory for the maximum likelihood estimators, including consistency, convergence rates and limiting distributions of the regression coefficients, the timing of structural change and variance of errors. We study the hypothesis testing for the presence of structural change. The three super-type statistics are proposed. The Monte Carlo simulation results are consistent with our theoretical results and show that the maximum likelihood estimators have good finite sample performance.          
         李鯤鵬為首都經(jīng)濟貿(mào)易大學國際經(jīng)濟管理學院教授，清華大學經(jīng)濟學博士，研究成果發(fā)表于權威計量經(jīng)濟學與統(tǒng)計學國際期刊如 Journal of Econometrics, Review of Economics and Statistics, Annals of Statistics, Journal of Business and Economic Statistics