scholarly journals Transmission Channels of Public Investments Effects on Economic Growth: Case of the CEMAC Sub-region

2018 ◽  
Vol 9 (4) ◽  
pp. 43-52
Author(s):  
Ibrahim Nji Ngouhouo ◽  
Samuel Honoré Ntavoua
Keyword(s):  
Economic Growth ◽  
Least Squares ◽  
Method Of Moments ◽  
Indirect Effects ◽  
Public Investment ◽  
Generalized Method Of Moments ◽  
Direct And Indirect Effects ◽  
Two Stage ◽  
Investment Policies ◽  
Public Investments

Abstract The main objective of this research is to locate channels through which public investment can be forwarded in order to impact economic growth in the CEMAC sub-region. To achieve this goal, a dynamic generalized method of moments (GMM) and the two-stage least squares (TSLS) methods have been applied. Data to test our two hypotheses were collected from various sources. The results have shown that there effectively exist significant direct and indirect effects of public investment on economic growth. We also discovered that export and employment are being considered as the last shackles of the chain. To that effect, it is recommended to the CEMAC authorities to grant more interest to these variables during the elaboration of public investment policies.

Shadow Economy, Corruption, and Economic Growth: An Empirical Analysis

2019 ◽  
Vol 47 (3) ◽  
pp. 276-294 ◽  
Author(s):  
Nedra Baklouti ◽  
Younes Boujelbene
Keyword(s):  
Economic Growth ◽  
Least Squares ◽  
Public Administration ◽  
Method Of Moments ◽  
Fixed Effects ◽  
Shadow Economy ◽  
Generalized Method Of Moments ◽  
Ordinary Least Squares ◽  
Negative Effects ◽  
Considerable Debate

There is considerable debate over the effects of both corruption and shadow economy on growth, but few studies have considered how the interaction between them might affect economic growth. We study how corruption levels in public administration affect economic growth and how this effect depends on the shadow economy. Using Ordinary Least Squares (OLS), fixed effects, and system generalized method of moments (GMM) on a dataset of 34 OECD countries over the period 1995-2014. The estimation results indicate that increased corruption and a larger shadow economy lead to decrease in economic growth. Results additionally indicate that the shadow economy magnifies the effect of corruption on economic growth. These results imply significant complementarities between corruption and the shadow economy, suggesting that the reduction of corruption will lead to a fall in the size of the shadow economy and will also reduce the negative effects of corruption on economic growth through the underground economy.

scholarly journals Model Persamaan Simultan pada Analisis Hubungan Kemiskian dan PDRB

2014 ◽  
Vol 5 (2) ◽  
pp. 810
Author(s):  
Rokhana Dwi Bekti ◽  
David David ◽  
Gita N ◽  
Priscillia Priscillia ◽  
Serlyana Serlyana
Keyword(s):  
Economic Growth ◽  
Least Squares ◽  
Least Squares Estimation ◽  
Two Stage ◽  
Two Stage Least Squares ◽  
Regional Product ◽  
The Relationship ◽  
Simultaneous Model

Simultaneous model is a model for some equation which have simultaneous relationships. It was often found in econometrics, such as the relationship between Gross Domestic Regional Product (GDRP) and poverty. GDP is a common indicator that can be used to determine the economic growth occurred in region. Meanwhile, poverty is one of the indicators to measure the society welfare. Information about these relathionships were important to perform the relathionsips between GDP and poverty. So this research conducted an analysis to obtain simultaneous models between GDRP and poverty. Estimation of the parameters used is Two-Stage Least Squares Estimation (2SLS). The data used are 33 provinces in Indonesia at 2010. By α = 5%, it was conclude that variable which significant effect on GDRP is poverty, export, and import. Meanwhile, the variables that significantly affect poverty are population. The simultaneous model (α = 5%) also conclude that there is no simultaneous relationship between GDRP and poverty. However, with α = 25%, there is a simultaneous relationship between GDRP and poverty.

Bank-based and market-based development and economic growth: an international investigation

2019 ◽  
Vol 36 (3) ◽  
pp. 365-394 ◽  
Author(s):  
Isaac Boadi ◽  
Daniel Osarfo ◽  
Perpetual Boadi
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Method Of Moments ◽  
Design Methodology ◽  
Generalized Method Of Moments ◽  
Fixed Effect ◽  
Relative Impact ◽  
Content Type ◽  
Regional Effects ◽  
Development Policies

Purpose The purpose of this paper is to investigate the relative impact of bank-based and market-based financial developments on economic growth from 1984 to 2015, using 60countries. Design/methodology/approach This study uses fixed effect and generalized method of moments (GMM) to investigate the relative impact of bank-based and market-based financial developments on economic growth from 1984 to 2015, using 60 countries. The study further controls regional effects and the Asian crisis, as well as the global economic crisis. Findings The empirical results of the study revealed that market-based development positively affects economic growth. Besides, market-based financial development indirectly promotes investment, which has the potential to strongly enhance growth. The findings of this study, therefore, provide more support to pro-market-based financial development policies in these regions. Interestingly, bank-based development has no direct impact on development, but indirectly encourages investment, which also promotes growth. Originality/value This paper is the first of its kind to empirically examine fixed effect and GMM to investigate the relative impact of bank-based and market-based financial developments on economic growth from 1984 to 2015, using 60 countries.

Tourism-Led Growth Hypothesis: A New Global Evidence

2017 ◽  
Vol 59 (3) ◽  
pp. 304-311 ◽  
Author(s):  
Chor Foon Tang ◽  
Eu Chye Tan
Keyword(s):  
Economic Growth ◽  
Method Of Moments ◽  
Generalized Method Of Moments ◽  
Political Stability ◽  
Dynamic Panel ◽  
Beneficial Impact ◽  
The Relationship ◽  
Different Levels ◽  
Growth Hypothesis ◽  
Global Evidence

The primary aim of this study is to determine whether the tourism-led growth hypothesis is globally valid by accounting for countries’ income levels and their institutional qualities, against a panel dataset of 167 countries. The institutional qualities referred to are political stability and corruption control. We employ the dynamic panel generalized method of moments (GMM) approach to examine the relationship. It can be inferred from the exercise that tourism positively contributes to economic growth but the effect varies across countries at different levels of income and institutional qualities. Therefore, the effect of tourism on economic growth is contingent on levels of income and institutional qualities of the host tourism countries. Policy initiatives that aim to promote and strengthen institutional qualities should be undertaken for a country to enjoy the beneficial impact of tourism on economic growth and development.

scholarly journals Comparing Credit Risk in Islamic and Conventional Banking Using Bank-Level Panel Data

2020 ◽  
Vol 11 (2) ◽  
pp. 235-262
Author(s):  
Akhmad Akbar Susamto ◽  
Danes Quirira Octavio ◽  
Dyah Titis Kusuma Wardani
Keyword(s):  
Economic Growth ◽  
Credit Risk ◽  
Method Of Moments ◽  
Generalized Method Of Moments ◽  
Dynamic Panel ◽  
Gmm Estimator ◽  
Panel Regressions ◽  
Conventional Banks ◽  
Risk Determinants ◽  
Asset Size

Abstract: This paper investigates if there is a difference in the level of the credit risk of Islamic as compared to the level of credit risk of conventional banks. This paper further investigates the importance of various credit risk determinants and possible differences in how such determinants affect credit risk in Islamic and conventional banking industries. This paper employs dynamic panel regressions using system GMM estimators. The sample includes 11 Islamic and 95 conventional banks in Indonesia throughout 2003-2018. Based on the results, it is concluded that there is no difference in the level of the credit risk of Islamic as compared to that of conventional banks. It is also concluded that credit risk is significantly affected by current and lagged asset size, lagged financing, current profitability, lagged economic growth, and current inflation. The effect of lagged financing, current profitability, and lagged economic growth is different in Islamic and conventional banking.Abstrak: Makalah ini menganalisis apakah terdapat perbedaan antara tingkat risiko kredit pada perbankan syariah dan tingkat risiko kredit pada perbankan konvensional. Makalah ini selanjutnya juga menganalisis signifikansi faktor-faktor yang diduga mempengaruhi risiko kredit dan kemungkinan perbedaan pengaruh faktor-faktor tersebut terhadap risiko kredit pada perbankan syariah dibandingkan pada perbankan konvensional. Makalah ini menggunakan regresi panel dinamis dengan system generalized method of moments (GMM) estimator. Sampel dalam makalah ini mencakup 11 bank syariah dan 95 bank konvensional di Indonesia selama periode 2003-2018. Berdasarkan hasil analisis, dapat disimpulkan bahwa tidak terdapat perbedaan perbedaan antara tingkat risiko kredit pada perbankan syariah dan tingkat risiko kredit pada perbankan konvensional. Begitu pula, dapat disimpulkan bahwa risiko kredit secara signifikan dipengaruhi oleh ukuran aset tahun ini dan tahun lalu, pembiayaan tahun lalu, profitabilitas tahun ini, pertumbuhan ekonomi tahun lalu dan inflasi tahun ini. Pengaruh pembiayaan tahun lalu, profitabilitas tahun ini, dan pertumbuhan ekonomi tahun lalu, secara khusus berbeda pada perbankan syariah dibandingkan pada perbankan konvensional.

scholarly journals Modelling the Influences of Economic, Demographic, and Institutional Factors on Fiscal Pressure Using OLS, PCSE, and FD-GMM Approaches

2020 ◽  
Vol 12 (4) ◽  
pp. 1681
Author(s):  
Alina-Cristina Nuță ◽  
Florian-Marcel Nuță
Keyword(s):  
Linear Regression ◽  
Least Squares ◽  
Method Of Moments ◽  
Generalized Method Of Moments ◽  
Ordinary Least Squares ◽  
Institutional Factors ◽  
Standard Errors ◽  
Panel Analysis ◽  
Fiscal Pressure ◽  
Robust Standard Errors

The purpose of our article is to assess the effect of diverse factors, such as economic, demographic, and institutional factors, on global and social fiscal pressure. The study is based on a panel analysis of 38 states during 2000–2017. We used ordinary least squares (OLS) as a base model for our estimations, and a linear regression with panel-corrected standard errors and a first difference generalized method of moments (GMM) with robust standard errors and orthogonal deviations. The results of our study indicate that the demographic and institutional factors involved in the analysis contribute to the identification of some variables that affect the global or social fiscal pressure.

scholarly journals A Comparison of Ordinary Least Squares and Least Absolute Error Estimation

1988 ◽  
Vol 4 (3) ◽  
pp. 517-527 ◽  
Author(s):  
Andrew A. Weiss
Keyword(s):  
Linear Regression ◽  
Least Squares ◽  
Error Estimation ◽  
Method Of Moments ◽  
Linear Regression Model ◽  
Generalized Method Of Moments ◽  
Absolute Error ◽  
Ordinary Least Squares ◽  
Hausman Test ◽  
Heteroscedastic Errors

In a linear-regression model with heteroscedastic errors, we consider two tests: a Hausman test comparing the ordinary least squares (OLS) and least absolute error (LAE) estimators and a test based on the signs of the errors from OLS. It turns out that these are related by the well-known equivalence between Hausman and the generalized method of moments tests. Particular cases, including homoscedasticity and asymmetry in the errors, are discussed.

scholarly journals The impact of taxes effects on the economic growth of developing countries in ASIA

2020 ◽  
Author(s):  
Văn Thuận Nguyễn ◽  
Xuân Hằng Trần ◽  
Minh Hằng Nguyễn ◽  
Thị Kim Chi Ng
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Method Of Moments ◽  
Positive Impact ◽  
Trade Openness ◽  
Generalized Method Of Moments ◽  
Negative Relationship ◽  
Estimation Methods ◽  
Policy Suggestions ◽  
The Impact

The objective of the study is to examine the impact of taxes on economic growth in developing countries in Asia during 18-year period (2000-2017). Using the estimation methods of OLS, FEM, REM, GLS and two-step system generalized method of moments (S-GMM) for panel data. Empirical results show that taxation has a positive impact on economic growth at level of 1%, while the most studies consider this to be a negative relationship. Besides, factors such as government spending, trade openness, inflation also have a significant impact on economic growth. On that basis, the study provides some policy suggestions for tax policies in these countries.

Sign in / Sign up

Export Citation Format

Share Document