Showing 4 results for Panel Data.
Dr Ghahraman Abdoli, Dr Vahid Majed,
Volume 3, Issue 7 (3-2012)
Abstract
In the past decades, a range of discussions has been formed on coalition theory in economics and international sciences. The focus of this discussion is that in the absence of a superior power, and while some players want to expand their authorities, is it possible to cooperate or not. These theories agree on the principle that if such condition be a sequential game, cooperation will be permanent only if the players are patient enough. In the real world, there are many partnerships between groups that don’t have a same patience, i.e. the discount factor isn’t equal for each of the members. OPEC is an example of those groups which composed of members with different discount factor.
This paper investigates the future of OPEC members and their different discount factors. So, cooperative theory is used to analyze the behavior of OPEC members using panel data techniques. Results show that a fixed effects model is appropriate to explain OPEC member’s behavior. According to the model, the amount of marketed crude oil by members has positive relationship with stocks and sales in the previous period and also there is a negative relationship between the amount of marketed oil and square of proven reserves per capita. The results show that bargaining and negotiation between some members to achieve agreement rapidly and also relents or blackmails guarantees OPEC Survival.
Dr Abolfazl Shahabadi, Dr Mohamad Kazem Naziri, Nima Nilforoushan,
Volume 3, Issue 9 (10-2012)
Abstract
Parties and candidates in the election campaign try to raise the community to vote for them by offering a variety of social policies. However, the public health expenditures have been raised among the candidates as one of the most important tools to attract votes. Thus, this study uses panel data to investigate whether the components of electoral cycle have affected the growth of public health expenditures in both developed and developing countries over the period of 1994-2010. Using the related tests, two methods of static panel (random effects) and dynamic panel estimation were selected. According to the results, the presence of electoral cycles could not be rejected in both types of countries. Based on these results, politicians in every country increase the public health expenditures before the election in hopes of gaining a greater share of people's votes.
Phd Mohammad Hassan Fotros, Hossein Yari, Reza Maboudi,
Volume 4, Issue 12 (7-2013)
Abstract
Dominance of arid and semiarid climate in a vast area of Iran along with the water consumption growth necessitates a more sophisticated planning, a more efficient operation towards an optimal allocation and conservation of water resources in the country. In recent decades many countries, including Iran, have adopted increasing block tariffs for domestic water management. This policy is based on a progressive tariffs applied to control and manage the residential water consumption.
In this paper, we developed a panel data model to investigate the impact of increasing block pricing on the residential water consumption during 2004-2008. The average and marginal price models of demand for residential water have been estimated to examine the effects of households’ income and the climate conditions on the residential water consumption. Results show that the increasing block pricing system has not efficiently controlled the residential water consumption in Iran.
Dr Hassan Taee, Dr Javid Bahrami, Sima Bagheri,
Volume 4, Issue 13 (10-2013)
Abstract
One of the empirical relationships that have been used to study the dynamics of labor market is the Beveridge curve -the scatter plot of unemployment rates versus vacancy rates- that is used to summarize the state of that market. The starting point for deriving the Beveridge curve is a matching function between unemployed workers and vacant jobs.
In this research, provincial data are combined to estimate the Beveridge curve and the matching function of Iran. The matching function is estimated using provincial data for the period 1993-2008 and for estimating the Beveridge curve, provincial data for period 2005-2008 are used. The outcomes imply that the number of unemployed workers and vacant jobs has a positive and significant relationship with successful job matches. The elasticity of matching function for the unemployed and job vacancies equals 0.24 and 0.79, respectively. The Beveridge curve depicts a convex and negative relationship between unemployment rate and vacancy rate, although the relationship is not strong.
