Sentence examples for estimation panel from inspiring English sources

With the increasing popularity of simulation-based estimation, panel data models that address repeated observations are gaining more attention.

Among the methods that might be used to answer these questions are tabulations and other descriptive methods, ordinary least squares regressions, instrumental variables estimation, panel data and panel data methods, mixed qualitative and quantitative methods, empirically-based theoretical models, and field studies to supplement quantitative desk work.

Estimation using panel data technique has explored both the push and pull factors.

This finding is robust under both pooled time-series and cross-section data estimation and panel data analysis and for different types of patent applications (invention, utility model, and external design).

For the estimation with panel methodology, it is necessary to determine whether unobserved characteristics, referred previously as domestic policies or attitude of the government with regard to national production, are fixed or random effects.

The study covers three production years (from 2012 to 2014) so that, besides the OLS estimations, a panel data analysis is also conducted.

The above-mentioned problems of contemporaneous correlation, heteroscedasticity and autocorrelation can be solved jointly and were resolved by the estimation of panel-corrected standard errors (PCSEs).14 On the positive side, once the problems of estimator specification were corrected, the models continued to function well.

From this perspective, three types of data panel estimation are proposed: the first is the estimation of ordinary least squares (OLS) with the grouped panel; the second and third take into account the time variation, by the inclusion in the model of random effects and fixed effects, respectively.

Thus, we explore their long-run relation and short-run dynamics using three alternative panel estimation techniques — dynamic fixed effect, pooled and mean-group estimators before and after accounting for common cross-sectional factors.

This study applies a dynamic panel estimation approach.

We analyze the period 1970 2012 and use dynamic panel estimation methods.