By combining non-parameter Z test method for unit root test of time-series with IPS test method for panel data unit root test, we propose a new non-parameter unit root test method for panel data.This method solves the...By combining non-parameter Z test method for unit root test of time-series with IPS test method for panel data unit root test, we propose a new non-parameter unit root test method for panel data.This method solves the unit root test’s problem that {ε_ it } is L-order auto-correlaiton.Using random simulation method,we compare LL test with non-parameter unit root test for panel data.We found that the non-parameter unit root test is superior to LL test in this case.展开更多
A method about Considering Heteroskedastic panel data in economical Analyses are given.The suppose test of model and consistent estimator of coefficient are given.The parameter estimation are resolved when μ i∶(0,w ...A method about Considering Heteroskedastic panel data in economical Analyses are given.The suppose test of model and consistent estimator of coefficient are given.The parameter estimation are resolved when μ i∶(0,w 2 i),v it ∶i.i.d(0,σ 2 i) in model (1).At last,We give an empirical analysis for Heteroskedastic problems.展开更多
文摘By combining non-parameter Z test method for unit root test of time-series with IPS test method for panel data unit root test, we propose a new non-parameter unit root test method for panel data.This method solves the unit root test’s problem that {ε_ it } is L-order auto-correlaiton.Using random simulation method,we compare LL test with non-parameter unit root test for panel data.We found that the non-parameter unit root test is superior to LL test in this case.
文摘A method about Considering Heteroskedastic panel data in economical Analyses are given.The suppose test of model and consistent estimator of coefficient are given.The parameter estimation are resolved when μ i∶(0,w 2 i),v it ∶i.i.d(0,σ 2 i) in model (1).At last,We give an empirical analysis for Heteroskedastic problems.
