This paper establishes the almost sure convergence and asymptotic normality of levels and differenced quasi maximum-likelihood (QML) estimators of dynamic panel data models. The QML estimators are robust with respect to initial conditions, conditional and time-series heteroskedasticity, and misspecification of the log-likelihood. The paper also provides an ECME algorithm for calculating levels ...

This paper focuses on two major aspects of globalization: international trade and FDI and their impacts on manufacturing employment in Iran and study whether foreign direct investment and trade expansion with Asian and European partner played any role in shaping the Iranian manufacturing employment structure. This study incorporates globalization (KOF index), trade integration and FDI into a si...

This paper considers the estimation of Cobb-Douglas production functions using panel data covering a large sample of companies observed for a small number of time periods. GMM estimators have been found to produce large finite-sample biases when using the standard first-differenced estimator. These biases can be dramatically reduced by exploiting reasonable stationarity restrictions on the init...

Estimation of the dynamic error components model is considered using two alternative linear estimators that are designed to improve the properties of the standard firstdifferenced GMM estimator. Both estimators require restrictions on the initial conditions process. Asymptotic efficiency comparisons and Monte Carlo simulations for the simple AR(1) model demonstrate the dramatic improvement in p...

We propose outlier-robust estimators for linear dynamic fixed effects panel data models where the number of observations,N , is large and the number of time periods, T , is small. In the simple setting of estimating the AR(1) coefficient from stationary Gaussian panel data, the estimator is (a linear transformation of) the median ratio of adjacent first-differenced data pairs. Its influence fun...

Differenced estimators of variance bypass the estimation of regression function and thus are simple to calculate. However, there exist two problems: most differenced estimators do not achieve the asymptotic optimal rate for the mean square error; for finite samples the estimation bias is also important and not further considered. In this paper, we estimate the variance as the intercept in a lin...

abstract t he relationship between public sector deficits and inflation is one of the important and controversial issues in the academic literature as well as in economic policy field. on the other hand, a major objective of macroeconomic policies is to foster economic growth and to keep inflation on a low level. so keeping the price stability plays an important role in determining the growth r...

Abstract T he relationship between public sector deficits and inflation is one of the important and controversial issues in the academic literature as well as in economic policy field. On the other hand, a major objective of macroeconomic policies is to foster economic growth and to keep inflation on a low level. So keeping the price stability plays an important role in de...

This paper proposes a semiparametrically modified OLS (SM-OLS) estimator and a semiparametrically modified IV (SM-IV) estimator via kernel method for linear cointegrating models when cointegrating equilibrium errors respond instantaneously to changes of the first-differenced integrated regressor in the linear cointegrating models. Both the proposed estimators are shown to have a mixed normal li...