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.

An Algorithm to Estimate the Two-Way Fixed Effects Model

2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Paulo Somaini ◽  
Frank A. Wolak
Keyword(s):  
Least Squares ◽  
Method Of Moments ◽  
Fixed Effects ◽  
Asymptotic Variance ◽  
Generalized Method Of Moments ◽  
Computational Cost ◽  
Ordinary Least Squares ◽  
Fixed Effects Model ◽  
Computational Resources ◽  
Low Computational Cost

AbstractWe present an algorithm to estimate the two-way fixed effect linear model. The algorithm relies on the Frisch-Waugh-Lovell theorem and applies to ordinary least squares (OLS), two-stage least squares (TSLS) and generalized method of moments (GMM) estimators. The coefficients of interest are computed using the residuals from the projection of all variables on the two sets of fixed effects. Our algorithm has three desirable features. First, it manages memory and computational resources efficiently which speeds up the computation of the estimates. Second, it allows the researcher to estimate multiple specifications using the same set of fixed effects at a very low computational cost. Third, the asymptotic variance of the parameters of interest can be consistently estimated using standard routines on the residualized data.

scholarly journals Determinants of Growth in Indonesia

2019 ◽  
Vol 3 (2) ◽  
pp. 255-277
Author(s):  
Raymond Rayendra Elven
Keyword(s):  
Human Capital ◽  
Least Squares ◽  
Method Of Moments ◽  
Fixed Effects ◽  
Generalized Method Of Moments ◽  
Physical Capital ◽  
Ordinary Least Squares ◽  
Fixed Effects Model ◽  
Income Per Capita ◽  
Per Capita

Paper ini bertujuan untuk mengidentifikasi faktor-faktor penentu pertumbuhan ekonomi di Indonesia. Untuk itu, dilakukan analisis terhadap data panel dari 33 provinsi di Indonesia mulai tahun 2006 sampai 2015. Analisis empiris pada paper ini melibatkan dua metode estimasi: 1) Ordinary Least Squares (OLS) dengan Fixed Effects Model, dan 2) Generalized Method of Moments (GMM). Hasil penelitian menunjukkan bahwa rasio investasi sebagai akumulasi persediaan physical capital, tingkat pendidikan sebagai akumulasi persediaan human capital, pertumbuhan penduduk, desentralisasi, dan perdagangan memiliki dampak positif yang signifikan terhadap pendapatan per kapita. Selanjutnya, pengeluaran pemerintah dan proporsi penganut agama Islam memiliki pengaruh negatif yang signifikan terhadap pendapatan per kapita. Disisi lain, proporsi penganut agama Kristen Protestan dan Kristen Katolik tidak memiliki pengaruh terhadap pendapatan per kapita.This paper identifies the determinants of economic growth in Indonesia. To accomplish this, panel data for 33 provinces in Indonesia, for the years of 2006 through 2015, were analyzed. The empirical analysis involved two estimation methods: 1) Ordinary Least Squares (OLS) with a Fixed Effects Model, and 2) Generalized Method of Moments (GMM). The results reveal that investment ratio as the stock of physical capital, education level as the stock of human capital; population growth, decentralization, and trade across the provinces have a significant positive impact on the income per capita. Government expenditures and the proportion of adherents to the Islam religion have a significant negative influence on the income per capita. However, the proportion of adherents to the Protestant and the Catholic religions do not affect the income per capita.

scholarly journals The Determinants of Economic Growth in CEMAC through a Panel Data Approach

2016 ◽  
Vol 4 (2) ◽  
pp. 483
Author(s):  
Nzingoula Gildas Crepin
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Fixed Effects ◽  
Good Governance ◽  
Generalized Method Of Moments ◽  
Central Africa ◽  
Ordinary Least Squares ◽  
Fixed Effects Model ◽  
Main Determinants ◽  
Determinants Of Economic Growth

<div><p><em>This article highlights through a panel data approach the determinants of economic growth; observed over the last decade in the Economic and Monetary Community of Central Africa (CEMAC) and necessary to reach emerging economies stage. To do this, we essentially used Stata 12 software to come up with the results, and a panel data sample comprising six CEMAC member states, namely Congo, Cameroon, Gabon, Equatorial Guinea, Central African Republic and Chad, for the period ranging from 2000 to 2013. The results obtained after estimating ordinary least squares, fixed effects model, random effects model, generalized method of moments (GMM) and specification tests show that the best model to estimate these types of data is the fixed effects model. Besides, the main determinants of economic growth in CEMAC over that period are Foreign Direct Investment (FDI) and loans lending to the economy (LOAN). After estimation, FDI is found positive and significant on economic growth, while LOAN is significant and found negative maybe due to lack of good governance.</em></p></div>

scholarly journals Effect of macroeconomic variables on systemic risk: Evidence from Vietnamese economy

2021 ◽  
Vol 10 (3) ◽  
pp. 217-228
Author(s):  
Thi Xuan Huong Tram ◽  
Nguyen Thi Thanh Hoai
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Interest Rate ◽  
Interest Rates ◽  
Systemic Risk ◽  
Fixed Effects ◽  
Positive Impact ◽  
Generalized Method Of Moments ◽  
Negative Relationship ◽  
Ordinary Least Squares

This paper aims to find out the relationship between systemic risk in Vietnam and the effects of macroeconomic factors, including exchange rate, interest rates, and economic growth. We collect data from the Vietnamese stock market, specifically 29 listed financial firms (banks, insurance companies, and securities firms) for the period 2010-2018. The analysis is performed in two steps including systematic risk measurement in Vietnam based on the Systemic Expected Shortfall (SES) method and providing evidence from analysis related to the risk determinants assessment. Besides ordinary least squares (OLS) methods, we make use of fixed-effects (FEM) estimations, random-effects (REM) estimations, and system generalized method of moments (SGMM). The empirical evidence in this paper indicates that economic growth has a negative relationship on systemic risk in Vietnam while the exchange rate has a positive impact on systemic risk, and the interest rate has a negative relationship on systemic risk in Vietnam. Future studies can address the effects of interest rate on systemic risk during this period.

scholarly journals Global FDI Inflow and Its Implication across Economic Income Groups

2020 ◽  
Vol 13 (11) ◽  
pp. 291
Author(s):  
Udi Joshua ◽  
Mathew Ekundayo Rotimi ◽  
Samuel Asumadu Sarkodie
Keyword(s):  
Economic Growth ◽  
Fixed Effects ◽  
Trade Openness ◽  
Generalized Method Of Moments ◽  
Income Group ◽  
Ordinary Least Squares ◽  
Business Environment ◽  
Positive Influence ◽  
Panel Estimation ◽  
The Impact

Foreign direct investment (FDI) as a driver of growth is important in today’s globalized economy. It is extremely difficult for economies to grow sustainably without economic interactions outside their borders. However, there has been a debate on the impact of FDI inflow on economic expansion. Hence, this study investigated the influence of FDI on economic growth for a selection of 200 economies around the world for the period 1990–2018. We subdivided the sample into World Bank income group clusters to aid comparison across income blocs. The study employed panel estimation techniques including pooled ordinary least squares (POLS), dynamic panel estimation with fixed-effects and random-effects and generalized method of moments (GMM). The study found that FDI, debt stock and official development assistance are promoters of growth in the selected countries—although debt stock weakly impacts economic growth. In contrast, trade openness and exchange rates had a mixed (negative and positive) influence on economic growth. The study suggests that the creation of a conducive business environment and economic policies will attract FDI inflows. Additionally, borrowing from external sources could be minimized despite its perceived positive influence on growth to achieve financial independence.

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 Applications of Generalized Method of Moments Estimation

2001 ◽  
Vol 15 (4) ◽  
pp. 87-100 ◽  
Author(s):  
Jeffrey M Wooldridge
Keyword(s):  
Time Series ◽  
Panel Data ◽  
Least Squares ◽  
Cross Section ◽  
Method Of Moments ◽  
Generalized Method Of Moments ◽  
Ordinary Least Squares ◽  
Estimation Problems ◽  
Method Of Moments Estimation ◽  
Moments Estimators

I describe how the method of moments approach to estimation, including the more recent generalized method of moments (GMM) theory, can be applied to problems using cross section, time series, and panel data. Method of moments estimators can be attractive because in many circumstances they are robust to failures of auxiliary distributional assumptions that are not needed to identify key parameters. I conclude that while sophisticated GMM estimators are indispensable for complicated estimation problems, it seems unlikely that GMM will provide convincing improvements over ordinary least squares and two-stage least squares--by far the most common method of moments estimators used in econometrics--in settings faced most often by empirical researchers.

scholarly journals Macroeconomic Factors and Birth of New Businesses in Developing Countries: Evidence from a Dynamic System GMM Approach

2021 ◽  
Vol 6 (1) ◽  
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Method Of Moments ◽  
Population Growth Rate ◽  
Generalized Method Of Moments ◽  
Negative Effects ◽  
Macroeconomic Factors ◽  
Per Capita ◽  
The Creation ◽  
Determining Factor

This paper aims to discuss and determine the nature of relationship between the birth of new enterprises and macroeconomic factors in using a panel data of 73 developing countries for the period of 2006-2018. The study used panel corrected standard error approach (PCSE) and system generalized method of moments (GMM) approach. The main conclusions revealed that foremost economic growth, translated in terms of real gross domestic product per capita, and in terms of variation in demand, has proved to be a positive determining factor in the creation of enterprises. Furthermore, the population growth rate and inflation, while contributing positively to the creation of new enterprises, did not produce the effect that would have been expected, given the relatively low elasticity. Addition, the results also indicate that unemployment rate and employment vulnerability have small negative effects on new firms’ creation.

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.

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