جستجوی مقالات مرتبط با کلیدواژه « panel quantile regression » در نشریات گروه « اقتصاد »

The present study aims to investigate the impact of technology, innovation, and globalization on income inequality in three groups of low-income countries (19 countries), middle-income countries (63 countries), and high-income countries (41 countries) in the period 2008-2019 using a panel data quantile regression model. To achieve this aim, the following indices have been used: The Gini index as a measure of income inequality; the technology and innovation index and its sub-indices, including the information and communication technology index, technological skills index, research and development index, industrial capacity index, and index of private sector access to financial resources; and the economic globalization index and its sub-indexes, including trade globalization and financial globalization. The results of this study illustrate that technology and innovation in all quantiles of the three income groups have a significant negative impact on income inequality. Moreover, the economic globalization index has a significant positive effect on income inequality in low-income countries in the lower quantiles, however, this effect is significantly negative in the middle and higher quantiles. Nevertheless, economic globalization has a significant negative impact on income inequality in middle- and high-income countries in all quantiles. According to the research results, it is suggested to policymakers, especially in low-income countries, to prioritize technology and investment in this field. On the other hand, according to the effects of globalization, policymaking should be done based on the economic structure of the countries.

Identifying the causes of inflation has always been one of the most important questions in macroeconomics. Developing world trade has led the international economics indicators to enter into inflation modeling. Accordingly, one of the variables that can affect inflation is the degree of openness. Theoretical foundations expect openness of countries to reduce the inflation rate. The amount of inflation has a significant effect on the type of impact openness on the inflation rate. Therefore, this relationship must be considered in the hypothesis testing method. Therefore, this study tests the above hypothesis in 4 groups of countries by using Panel Quantile Regressions In the period 2019-1980: 1- European (7 countries) 2- East Asia and Pacific (10 countries) 3- Middle East and North Africa (9 countries) 4- Latin America and Caribbean (18 countries). The results of the study show that the inflation rate often decreases with openness, but this effect was closely explained to the size of inflation and the structure of the country's groups. Trade openness has had the least impact on inflation in East Asia and the Pacific and the largest impact on inflation in the Middle East and North Africa. In addition, the above results change with the change in the trade openness index, so that increasing exports will reduce the negative effect of imports on inflation.