Objectives: This study aims to identify the impact of restructuring Jordan's electricity sector on advantages vertical integration Jordanian Electric Power Company (JEPCO) before restructuring, experimentally verifying existence economies scale and (vertical horizontal integration), testing natural monopoly JEPCO using a time series during period (2017-1968).
 Methods: To achieve purposes ...

This brief presents new convex formulations for solving estimation problems in systems modeled by scalar Hamilton–Jacobi (HJ) equations. Using a semi-analytic formula, we show that the constraints resulting from a HJ equation are convex, and can be written as a set of linear inequalities. We use this fact to pose various (and seemingly unrelated) estimation problems related to traffic flow-engi...

The main purpose of this research is to implement a multivariate feedback adjustment proportional to the last deviation from the target, in the set of variables wandering around the target. To apply the controller equation it will be necessary to study the exponentially weighted moving average (EWMA) statistic, in order to determine the behavior of the target disturbances. To determine the fore...

This paper attempts to quantify the effect of skill shortages on the UK labour market by developing a simultaneous equation model of unemployment and real wage growth. The model is developed following a structural approach based on a priori economic information and is initially estimated using a two-stage least squares procedure. The model is also estimated using Zellner’s seemingly unrelated r...

Abstract Drawing from the idea that income distribution is affected by imperfect market competition, this article examines effect of a wood cartel, where roundwood buyers illegally exchanged price information in Finland during 1997–2004. Prices before, during, and after infringement period are examined using comparator-based econometric approach with indicator variables single-equation cointegr...

Model selection is the process of choosing a model from set possible models. The model's ability to generalise means it can fit both current and future data. Despite numerous emergences procedures in selecting models automatically, there has been lack studies on multiple equations models, particularly seemingly unrelated regression (SURE) Hence, this study concentrates an automated procedure fo...

Seemingly unrelated regressions are statistical regression models based on the Gaussian distribution. They are popular in econometrics but also arise in graphical modeling of multivariate dependencies. In maximum likelihood estimation, the parameters of the model are estimated by maximizing the likelihood function, which maps the parameters to the likelihood of observing the given data. By tran...