This paper examines the asymptotics of the QMLE for unit root spatial dynamic panel data models with …xed e¤ects. When the exogenous variables or …xed e¤ects are included in the DGP, the estimate for the dynamic coe¢ cient is p nT 3 consistent and the estimates of other parameters are p nT consistent, and all of them are asymptotically normal. Also, sum of the contemporaneous spatial e¤ect and ...

We define a combined DEA score to evaluate efficiency in agricultural research. The production model we propose considers efficiency measurements under variable returns to scale for each year in the period 2012–2017. We postulate a first-order autoregressive process in the presence of covariates, to explain efficiency. Powers of the autocorrelation coefficient estimated assuming a dynamic panel...

in recent decades, theorists proposed the role of domestic components such as interior active groups, policies and macroeconomic indicators on determination of protection policies. in the context of recent studies, this study has investigated the effect of business cycle fluctuations on import protection for selected developing countries in 1995-2011 by using dynamic panel data method. furtherm...

confirmation of convergence hypothesis among provinces, its role in removing divergence among regions and achieving regional convergence is one of the important issues in macroeconomics. the aim of the present study is to examine absolute and conditional income convergence hypotheses among iranian provinces during the period 2000-2010 using panel data. the hypotheses are tested for the whole pr...

We propose a dynamic clustering model for uncovering latent time-varying group structures in multivariate panel data. The is three ways. First, the cluster location and scale matrices are to track gradual changes characteristics over time. Second, all units can transition between clusters based on Hidden Markov (HMM). Finally, HMM’s matrix depend lagged distances as well economic covariates. Mo...