Companies’ investment determinants: comparison of different panel data estimators

A comparison of dynamic panel data estimators: Monte Carlo evidence and an application to the investment function

Window Network Data Envelopment Analysis: An Application to Investment Companies

In this study, the window network data envelopment analysis (WNDEA) model will be proposed, that is capable to be used in the presence of panel data. Additionally, the proposed model is applied to evaluate the dynamic efficiency of 5 investment companies in Tehran stock exchange during the period from 2013 to 2017.

Determinants of Capital Structure: Comparison of Empirical Evidence From the Use of Different Estimators

In this article we extend the comparative analysis between the results of a pooled OLS regression and the use of fixed effects panel models concerning the determinants of debt, comparing the results of using static panel models and dynamic panel estimators, including the dynamic estimator of correction of fixed effects. The results show that the differences between the results of static panel m...

A Panel Data Analysis of Locational Determinants

The upsurge of Chinese and Indian outward foreign direct investment (FDI) raises an unanswered question about locational determinants of direct investment from the two countries. Using an unbalanced bilateral FDI database, we find that Chinese and Indian FDI are attracted to countries with large market size, low GDP growth, high volumes of imports from China or India, and low corporate tax rate...

Interval network data envelopment analysis model for classification of investment companies in the presence of uncertain data

The main purpose of this paper is to propose an approach for performance measurement, classification and ranking the investment companies (ICs) by considering internal structure and uncertainty. In order to reach this goal, the interval network data envelopment analysis (INDEA) models are extended. This model is capable to model two-stage efficiency with intermediate measures i...