Search Results for panel-data

Abstract

The research aims to analyze the content of the theoretical relationship between fiscal policy and the public budget deficit by defining the concept, types and tools of fiscal policy on the one hand, and the concept and types of public budget deficit and methods of financing it on the other hand, as well as building a measurement model to study and analyze the effectiveness of these tools in financing public budget deficits for selected advanced countries during the period (2002-2019), and through the use of modern economic measurement tools within the software (Stata 14.2 & EViews 12) and using the (Panel Data) data collection method, a (CD-Test) test for cross-sections was conducted as an initial step to determine the tests that will be used In order to find out the static of the variables and whether they fall within the tests of the first or second generation, and after making sure that there is no reliability between the cross-sections, the Levin, Lin and Chu (LLC) test was used, If its results showed that some variables have a unit root, that is, some variables are stationary in the level and others are stationary in the first difference, and accordingly, this will lead us to include these variables in the model, and we will have a dynamic model, and in this case we will deal with the models of temporal slowdown and the best example On that, it is the auto-regressive distributed lag model for dynamic panel data model (Dynamic Panel ARDL Model) and with its three estimators, which are the mean group estimator (MGE), pooled mean group estimator (PMGE) and the dynamic fixed effects estimator (DFEE). The Husman Test has been used. In order to differentiate between the three capabilities; The test showed that the combined group mean estimator (PMGE) is the best. The Husman Test was used to compare the three estimators; The test showed that the pooled group mean estimator (PMGE) is the best.

Abstract

This study aims to analyze the role of banking digitalization in enhancing financial inclusion in Iraq by assessing the impact of digital banking services on empowering groups excluded from the formal financial system. The study adopts a quantitative analytical approach based on panel data from a sample of Iraqi commercial banks over the period 2015–2024. It examines financial inclusion indicators, including the number of newly opened bank accounts, the volume of electronic transactions, and the proportion of loans directed toward individuals and small businesses. These indicators are analyzed against banking digitalization measures, represented by the adoption of mobile and internet banking services and the volume of investments in technological infrastructure. Panel data regression models, namely Fixed Effects and Random Effects, are employed, in addition to the Hausman test to determine the most appropriate model. Instrumental Variables (IV) models are also used to address the potential issue of reverse causality between banking digitalization and the increasing demand for banking services. The results reveal a positive and statistically significant effect of banking digitalization on enhancing financial inclusion, particularly through increasing the use of electronic transactions and facilitating remote account opening. The findings also indicate variations in the magnitude of this effect between state-owned and private banks, with a greater impact observed among private banks, which demonstrate greater flexibility in adopting modern technologies. The study concludes that banking digitalization represents an effective pathway toward expanding financial inclusion in Iraq, provided that digital infrastructure is strengthened and public trust in electronic services is enhanced. The study offers several recommendations for policymakers and banks to improve access to financial services and empower financially underserved and unbanked populations.

Abstract

Given the important role played by financial inclusion in supporting economic development and reducing poverty, the study analyzed and interpreted the mechanisms of influence through which financial inclusion indicators can influence poverty. The study aimed to frame the theoretical foundations for studying the impact, as well as to build a quantitative model that has the ability to diagnose the nature of that impact, its direction and size, and to explain the mechanism and channels of its transmission, by relying on balanced double data (Balanced Panel Data), which had 40 observations, and through a model. Fixed Effect Model for a sample of developing countries and for the years (2005-2010-2015-2020).

The research seeks to get acquainted with the theoretical frameworks and empirical studies taken from the analysis and interpretation of the mechanism and channels of transmission of the impact that financial inclusion can exert on poverty, as well as the exploration of an objective quantitative model that has the ability to diagnose the nature, direction and size of that impact and to interpret the mechanism and channels of its transmission, based on data Balanced Panel Data through the fixed effect model (FEM) for a sample of developing countries for the years (2005-2010-2015-2020). The estimation results revealed that the indicator variable of the number of commercial bank branches per 100,000 adults (CBBA) had a positive effect, while the indicator of automatic teller machines per 100,000 adults (ATMAD) reflected its negative effect on the poverty index (P).

Abstract

The form of estimating, analyzing and interpreting the mechanism and channels of influence that financial flexibility can have with its sub-indices represented by (Liquidity CU, Financial Leverage (FL), towards the value of the company (MVA) for a sample of companies listed on the Iraq Stock Exchange consisting of six companies and for the period (2012-2022).), the main goal that the research sought to achieve. To achieve this, in addition to proving its hypotheses, the research adopted the sum of pooled averages methodology based on the Autoregressive Distributed Lag and Pooled Mean Group (PMG/ARDL) methodology, based on data. The Balanced Longitudinal Panel Data, with a number of views amounting to (66) views, and its experimental results came to confirm that high levels of financial flexibility, whether through an increase in the liquidity index or through a decrease in the financial leverage index, are usually accompanied by positive effects on the company value index on... Long term due to the positive impact that financial flexibility has on the rise in the total market value of securities listed on the financial market, This calls for companies to pay attention to financial flexibility indicators and adopt them as a guide in their work because of their significant and effective role in controlling their sources of financing, protecting them from the risk of default, and supporting their ability to seize available investment opportunities, as well as confronting and overcoming financial crises by increasing the size of their assets compared to their debts and ensuring the availability of... Liquidity below the acceptable level.

Abstract

The research intends to show the internal determinants and to evaluate and measure their impact on commercial bank profitability, as internal determinants are key and influential indicators on Joint Stock companies performance that are within their control and management. The bank's size) as internal factors have become a concern for them in view of the quick changes and advances in the banking world and its technologies.

As a result, for the period 2015-2020, this research was applied to a sample of Joint Stock companies listed in the Iraqi market for securities, represented by the selection of (13) banks, namely Ashur, Baghdad, Iraqi commercial, investment, Iraqi Gulf, international development, Sumer, Mosul, Mansour, Al-Ahly of Iraq, Al-Mutated, Middle East, and used the descriptive analytical approach of the research variables available in the research sample banks in order to Return on deposits, rate of return on available money (as calculated by the statistical tool EViews V9), and use of panel data analysis according to the three models (accumulation regression model, fixed-effects model, random-effects model) according to this analysis, which will cover the research period (2015-2020). With the research sample represented by (13) banks. Through the application of tablet data, it was discovered that the internal determinants do not significantly affect the profitability ratios or the dependent variable at a significant level of 5 and 10%/4, respectively, whereas the aggregate model was significant and more appropriate according to the restricted f test, i.e. accepting the fifth hypothesis and vice versa if it was rejected. The constant is preferable, but if the Hausman test discovered a Chi-sq value less than the tabular at the 5% level, then this model is preferable to the constant, i.e. the rejection of the sixth hypothesis, and if the coefficient of determination was stronger and significant in the fixed model. than the random model It is more likely and appropriate according to these results.

Abstract

The current study examines the impact of income diversification on the profitability and stability of Jordanian commercial banks. The study sample consisted of (13) commercial banks operating in Jordan for the period 2010-2022. The secondary data included in the financial reports and annual budgets issued by the Jordanian commercial banks are also considered. The study employs the ratio of non-interest income to total operating income and the Hirschman-Herfindahl index to measure income diversification, while the return on assets and return on equity indices were used to measure bank profitability. To measure financial stability, the z-score value was calculated. The Panel Data regression model was employed, and the random effect model was chosen to test the study hypotheses. The results showed that the ratio of non-interest income has a positive and significant impact on the profitability of Jordanian commercial banks. This indicates that increasing reliance on non-interest income sources enhances the performance and profitability of Jordanian commercial banks. The results also showed that the HHI index has a positive and significant effect on the profitability and stability of Jordanian commercial banks, which means that increasing the level of diversification in income sources leads to increased profitability and financial stability in Jordanian commercial banks. The study recommended the necessity of encouraging commercial banks to innovate financially and provide digital banking services and other non-traditional services due to their role in increasing profits and financial stability in Jordanian commercial banks.

Abstract

      The current study aimed to investigate the impact of the structure deposits on the profitability of Iraqi Islamic banks over the period from 2016 to 2022 using data of 13 banks. We employed cross-sectional time series models (panel data), including the pooled regression model, the fixed effects model, and the random effects model to analyze the impact of the deposit structure on the bank profitability.

The results indicated that the current deposits represented the largest proportion of the deposit structure in Iraqi Islamic banks. Additionally, the results revealed a negative and significant effect of the current deposit ratio on the profitability of these banks. This could be attributed to Islamic banks holding a considerable proportion of demand deposits; which could be withdrawn at any time and Islamic banks guarantee repayment of the principal deposited, and account holders do not have rights to a share in the profits. Therefore, Islamic banks usually invest only a small fraction of the current accounts.  In contrast, we found a positive and significant impact of the savings deposit ratio and the investment deposit ratio on the profitability of Iraqi Islamic banks. The study recommends that Islamic banks should adopt strategies aimed at attracting more deposits, particularly investment deposits, due to their stability and flexibility in investment. Such these deposits can be utilized for medium- and long-term investments, providing further opportunities to increase profitability.

Abstract

This research aims to analyze the relationship of the effect of credit efficiency through indicators (the ratio of total loans to total assets, the ratio of total loans to total deposits and the percentage of provision for loan losses) on the earnings per share of five commercial banks listed in the Iraq Stock Exchange, the research started from a problem that Commercial banks suffer from their inability to employ the inputs in a way that helps them reduce costs to increase returns. The statistical analysis was done by using the cross-sectional data analysis method (Panel Data) through the ready program (EViews v.12), and the financial analysis was done by (Excel). The research reached a set of conclusions, the most important of which is the existence of a significant influence relationship of credit efficiency on earnings per share in commercial banks. The research also presented a set of recommendations, the most important of which is the need to develop solid credit policies to reduce costs and avoid credit risks and default by borrowers, thus reflecting positively on earnings per share.

Abstract

This study aims to determine the extent of the impact of financing on the market value of firms, by using a sample consisting of six financial firms listed in the Iraq Stock Exchange distributed between the two sectors (insurance and investment), and these companies constitute 60% of the research community for the period (2012-2021), based on the quarterly data to form (240) observations, and for the purpose of testing the hypothesis of the study, the Panel Data technology and the outputs of the Eviews-10 statistical program were relied upon, and multiple regression analysis was relied upon to identify the relationship between the explanatory variable (financial leverage) and the controlling variables (company size , fixed assets, growth opportunities, and trading ratio), with the dependent variable (market value), and the estimation results revealed that there is a statistically significant negative effect between the financial leverage and the market value of the firm, and that the firm's trading ratio and its fixed assets positively and significantly affected the value of the company It also showed that there is a significant negative impact of the firm's size and its growth rate in the market value, This result was consistent with financial theory and related studies in its various environments. Accordingly, about 43% of the change was reached, The outcome of the firm's market value is explained through the variables of the current study, which prompts financial managers to increase interest in how to form suitable sources of financing in a way that reflects positively on the firm's value in the market.

Abstract

The research aims to test the effect of the foreign direct investment rate, inflation rate, government spending rate, population growth, GDP growth, the degree of trade openness, and the corruption risk index on the youth unemployment rate in African countries. Although youth unemployment rates in African countries are not among the highest rates in the world, it remains a problem that requires serious consideration in addressing it as it is considered a major factor in political instability. The research adopted the method of multiple linear regression and panel data for the period 1990-2019 for sixteen African countries for which the required data for the research were available: Zimbabwe, Uganda, Rwanda, Niger, Senegal, Mozambique, Nigeria, Central Africa, Tanzania, Eritrea, Ethiopia, Ghana, Mali, Kenya Angola, Cameroon. It was concluded that foreign direct investment ratio was negatively affects the youth unemployment rate. While the effect of government spending, population growth and corruption risk index (decreased risk of corruption) was positive. No significant effect of economic growth, inflation rate, and trade openness has been demonstrated on the youth unemployment rate in African countries.

Abstract

Th The research paper aims to test the extent of the impact of bonuses granted to board members on the profitability of companies measured by the rate of return on assets and the rate of return on equity. A sample of companies listed on the Gulf Stock Exchange, including the Iraq Stock Exchange, was used for the period (2015-2022). The descriptive and analytical approach was used for the data and information contained in the reports and statements of the companies in the research paper sample. Ready-made software, including Excel 2010 and STATA, was also used to test the research hypotheses, answer the research paper’s problem questions, and reach the objectives. The research hypotheses were tested through the use of the approved multiple regression model (panel data). The research paper concluded the importance of bonuses granted to employees at various administrative levels. There is also a group of mechanisms that enhance the profitability of companies. On the analytical side, it was found that there is a statistically significant correlation between bonuses granted to board members and the rate of return on assets. The same is true for the relationship between board members’ bonuses and the rate of return on equity. It was also a positive and significant correlation. Significant, but not strong. It also appears that board bonuses have a negative impact on the return on assets, and that board bonuses (RV) have an insignificant negative impact on the profitability variable, represented by return on equity (DV12).

Abstract

This study examines digital transformation in universities and its role in supporting sustainable development and enhancing international trade openness through an econometric analytical study of a sample of developing countries, namely Iraq, Jordan, Saudi Arabia, Morocco, and Tunisia. The study is based on the premise that digital transformation in universities represents one of the most significant contemporary global transformations, exerting a direct influence on human capital development and the international economy. The study aims to analyze the impact of digital transformation in universities on supporting sustainable development and promoting international trade openness in the selected sample countries. To achieve this objective, both descriptive-analytical and quantitative approaches were employed, utilizing appropriate econometric techniques. The findings indicate that university digital transformation has a positive and significant effect on sustainable development and contributes to enhancing international trade openness. Based on these findings, the study recommends strengthening digital infrastructure, establishing a digital framework that supports sustainable digital transformation, increasing investments in university digital transformation, and enhancing digital training and capacity-building programs for academic staff and students in higher education institutions.

Abstract

The purpose of this research is to study the impact of the presence of ISIS in Iraq on the reputation of joint-stock companies in this country. For this purpose, the accepted reputation of companies in the Iraqi Stock Exchange was measured through a regression model and using the hypothetical variable regarding the presence of ISIS in Iraq, the topic was investigated.

The method of conducting this research is descriptive-correlational, and the selected sample includes 35 companies that were listed on the Iraqi stock market during the years 2013 to 2018. The research hypotheses were tested using a multiple logistic regression model based on panel data.

   The results of this research indicate that there is a significant relationship between the presence of ISIS in Iraq and the reputation of companies accepted on the stock exchange of this country, which means that the reputation of companies on the Iraqi stock exchange decreased with the presence of ISIS in Iraq.

Keywords: company reputation, ISIS, Iraqi economy, logistic regression.

Abstract

The research aims to measure the impact of public budget indicators and institutional quality (the quality of governing institutions in the economy) in reducing public debt for a selected group of Arab countries with renter economies for the period (2002-2023). Two standard models have been built to achieve this goal: The first model focused on measuring the impact of the general budget through its basic indicators represented by public spending and public revenues expressed in tax revenues, with the introduction of the oil price variable as a control variable due to its fundamental importance in explaining the dynamics of public debt in oil economies. The second model focused on measuring the impact of the six institutional quality indicators issued by the World Bank (control of corruption, political stability, government effectiveness, rule of law, voice and issue, and regulatory quality) on public debt. Using static analysis of longitudinal data models represented by its three models (pooled regression model, fixed effects model, and random effects model) for eight Arab oil countries, the research reached a set of results: For general budget indicators, the results showed that reducing public spending can contribute to reducing public debt, while there was no significant effect of oil revenues. While for oil prices, they had an impact in reducing public debt. As for institutional quality indicators, the results showed the impact of (political stability, government effectiveness, voice and issue) on reducing public debt, while the results showed that (control of corruption, rule of law, and regulatory quality) contribute to the accumulation of public debt. Therefore, the results of this research confirm the importance of the financial budget and institutional quality in reducing public debt and its sustainability in the long run.