Showing 4 results for Logit Model
Dr Davoode Manzoor, Mohammad Kazem Safakish,
Volume 2, Issue 4 (6-2011)
Abstract
Increase in environmental pollutions of fossil fuels calls for policies stimulating clean technology deployment especially in the transportation sector. To evaluate the efficacy of these policies we should explore the preferences of consumers regarding different technologies. In this paper we use a discrete choice approach used in “Canadian Integrated Model system” (SIMS) to identify the behavioral components. This model has a hybrid top-down bottom-up structure. For this purpose we estimate a multi-nominal logit model (MNL) for different automobile technologies and different transportation modes based on preferences revealed by a sample of 250 Tehran citizens. Then, we evaluate the effects of economic, technological and environmental policies on market share of different automobile technologies and air pollution in Tehran. These policies include gasoline price increase, pollution tax, limitations on single passenger cars and limitations on use of gasoline driven cars. According to this analysis, technology based policies can effectively correct the market shares towards clean traffic technologies
Dr Hojjatullah Abdolmaleki, Mahdi Ghaemi Asl,
Volume 2, Issue 5 (10-2011)
Abstract
The subject of microeconomics is the behavior of firms, individuals and government. According to production theory, rational behavior of the firms, leads to profit maximization. So, one of the most important rational questions in production theory, is the determination of a suitable location of the firm. In the last two decades, several theories have been proposed to analyze the factors affecting the location of economic activities. These theories emphasize on many factors that can be summarized in two categories: factors affecting supply and demand. The aim of this article is to determine and analyze factors affecting the location of electronics industry in Iran. In this regard, 25 factors were identified. Whoever, this number of explanatory variables decreases the number of degree of freedom in a Logit and/or Probit model dramatically. So, the principal component analysis was used to decrease the number of LHS variables.
Results show that the industrial development and the creation and maintenance of facilities have important effects on the location of electronics industry in different provinces of Iran. Also due to high proportion of the value to the weight of the final products or the high mobility and tradability of electronics industry products, local and surrounding area‘s income have negative impacts on the industry location.
Farhad Khodadad Kashi, Elham Karimnia,
Volume 7, Issue 25 (10-2016)
Abstract
Sporting success in international competitions is influenced by various factors. Exercise can identify the success factors in the development of sports programs for the development of human resources with a view to effective economic and social factors. This study investigates the impact of socioeconomic factors on the countries sports success at the Olympic Games.In this regard ,Using performance data of all the countries participating in the Olympic Games gold medal, silver and bronze medals during the years 1996-2012 in the form of a descriptive one tries to approach the factors affecting the success of the country in the Olympic Games of logit econometric model to be evaluated through.The results indicate that the net effect of human development indicator variables, number of participants, the trade balance, GDP, Sports performance period to increase the likelihood of successful sport in the Olympics. The population insignificantly negative impact on the sports chances of success, The results of this study showed that the most effective human development index of the sport in the Olympics has been an increase in the probability of success.
Behrouz Sadeghi Amroabadi, Davoud Mahmoudinia,
Volume 11, Issue 39 (3-2020)
Abstract
In monetary and financial literature, financial crises include a wide range of crises. But in general, there are three important types of financial crisis, including the currency crisis. The banking crisis and the debt crisis. The aim of this study is to simultaneously analyze the occurrence of banking, debt and currency crises, known as the three crises in Iran. For this purpose, first to determine the indicators related to banking crises, currency and debt payments and using logistics and self-regression vector models during the 1980 to 2017 seasonally, we have discussed the relationship between these three crises. The results show that the three banking crises, debt and currency, affect each other. The short-term results of the VAR model showed the effect of the banking crisis and the currency crisis on the debt crisis is positive and significant, indicating an increase in the likelihood of a banking crisis and the currency will increase the debt of the government and the country. Also, the effects of banking and debt crises on the currency crisis are positive and significant. This indicates the existence of causal relationship between banking crises and debt on the currency crisis. The results of the Logit model show that the effect of inflation variables, liquidity growth and the growth of the exchange rate on the indicators of the three crises that are significant and positive in most models.
