Using a stochastic frontier model and a comprehensive dataset, we study factors that affect corporate efficiency in … efficiency, and (iii) high competition is less conductive to efficiency than moderate or low competition. In terms of ownership …, we find that (iv) efficiency increases when a majority owner must deal with minority shareholders and that (v) domestic …

Using a stochastic frontier model and a comprehensive dataset, we study factors that affect corporate efficiency in … efficiency, and (iii) high competition is less conductive to efficiency than moderate or low competition. In terms of ownership …, we find that (iv) efficiency increases when a majority owner must deal with minority shareholders and that (v) domestic …

Using a stochastic frontier model and a comprehensive dataset, we study factors that affect corporate efficiency in … efficiency, and (iii) high competition is less conductive to efficiency than moderate or low competition. In terms of ownership …, we find that (iv) efficiency increases when a majority owner must deal with minority shareholders and that (v) domestic …

Using a stochastic frontier model and a comprehensive dataset, we study factors that affect corporate efficiency in … efficiency, and (iii) high competition is less conductive to efficiency than moderate or low competition. In terms of ownership …, we find that (iv) efficiency increases when a majority owner must deal with minority shareholders and that (v) domestic …

In this paper we analyze the evolution of firm efficiency in the Czech Republic. Using a large panel of more than 190 …,000 Czech firm/years we study whether firms fully utilize their resources, how firm efficiency evolves over time, and how firm … efficiency is determined by ownership structure. We employ a panel version of a stochastic production frontier model for the …

This paper shows how to bootstrap hypothesis tests in the context of the Parks (Efficient estimation of a system of … that the bootstrap outperforms Parks's top competitor. The Parks estimator has been a workhorse for the analysis of panel … efficiency for accuracy in hypothesis testing. The PCSE approach has been, and continues to be, widely used. This paper develops …

This paper shows how to bootstrap hypothesis tests in the context of the Parks's (1967) Feasible Generalized Least … Squares estimator. It then demonstrates that the bootstrap outperforms FGLS(Parks)'s top competitor. The FGLS(Parks) estimator … efficiency for accuracy in hypothesis testing. The PCSE approach has been, and continues to be, widely used. This paper develops …

This paper shows how to bootstrap hypothesis tests in the context of the Parks (Efficient estimation of a system of … that the bootstrap outperforms Parks's top competitor. The Parks estimator has been a workhorse for the analysis of panel … efficiency for accuracy in hypothesis testing. The PCSE approach has been, and continues to be, widely used. This paper develops …