scholarly journals Governance quality impact on health economics in selected countries: The panel data approach

2015 ◽  
Vol 4 (2) ◽  
pp. 148-154
Author(s):  
Parvaneh Salatin ◽  
Naahid Noorpoor
Keyword(s):  
Panel Data ◽  
Health Economics ◽  
Life Expectancy ◽  
Least Squares ◽  
Method Of Moments ◽  
Generalized Method Of Moments ◽  
Generalized Least Squares ◽  
Middle Income ◽  
Middle Income Countries ◽  
Governance Quality

The purpose of this paper is investigating the theoretical relationship between the effectiveness of governance quality on health economics in selected middle-income countries, using panel data. The Results of the estimation by using the Method of Generalized Least Squares (GLS) & Generalized Method of Moments (GMM) in selected countries for the period 2002-2011 show that governance quality has positive & significant effect on the life expectancy as an index showing the health economics in the group of the selected countries.

scholarly journals How does a democratic government with limited intervention affect environmental quality? Fresh evidence with international panel data

2021 ◽  
Vol 8 (4) ◽  
pp. 130-137
Author(s):  
Sheraz et al. ◽  
Keyword(s):  
Panel Data ◽  
Environmental Quality ◽  
Economic Freedom ◽  
Generalized Method Of Moments ◽  
Ordinary Least Squares ◽  
Middle Income ◽  
Middle Income Countries ◽  
International Panel ◽  
Method Of Moments Estimation ◽  
The Empirical Analysis

This paper examines the effect of democratic countries which encourage economic freedom on the environment, measured by Carbon Dioxide (〖CO〗_2) emission. For the empirical analysis, an annual panel data sample consisting of 179 countries from 1990 to 2018 is collected. Applying the Ordinary Least Squares and Two-Step Generalized Method of Moments estimation techniques, we find that the environmental quality is enhanced with a higher degree of democracy and economic freedom. The results firmly hold for high and middle-income countries when the sample is decomposed across income levels.

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 What Factors Affect Income Inequality and Economic Growth in Middle-Income Countries?

2019 ◽  
Vol 12 (1) ◽  
pp. 40 ◽  
Author(s):  
Duc Vo ◽  
Thang Nguyen ◽  
Ngoc Tran ◽  
Anh Vo
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Method Of Moments ◽  
Generalized Method Of Moments ◽  
Granger Causality Test ◽  
Causality Test ◽  
Middle Income ◽  
Full Sample ◽  
Middle Income Countries ◽  
Research Period

Income inequality in many middle-income countries has increased at an alarming level. While the time series relationship between income inequality and economic growth has been extensively investigated, the causal and dynamic link between them, particularly for the middle-income countries, has been largely ignored in the current literature. This study was conducted to fill in this gap on two different samples for the period from 1960 to 2014: (i) a full sample of 158 countries; and (ii) a sample of 86 middle-income countries. The Granger causality test and a system generalized method of moments (GMM) are utilized in this study. The findings from this study indicate that causality is found from economic growth to income inequality and vice versa in both samples of countries. In addition, this study also finds that income inequality contributes negatively to the economic growth in the middle-income countries in the research period.

Using information from singletons in fixed-effects estimation: xtfesing

2020 ◽  
Vol 20 (4) ◽  
pp. 965-975
Author(s):  
Laura Magazzini ◽  
Randolph Luca Bruno ◽  
Marco Stampini
Keyword(s):  
Panel Data ◽  
Method Of Moments ◽  
Fixed Effects ◽  
Generalized Method Of Moments ◽  
Panel Data Regression ◽  
Data Regression ◽  
Method Of Moments Estimator ◽  
Fixed Effects Estimation

In this article, we describe the xtfesing command. The command implements a generalized method of moments estimator that allows exploiting singleton information in fixed-effects panel-data regression as in Bruno, Magazzini, and Stampini (2020, Economics Letters 186: Article 108519).

scholarly journals Spatial Externalities of Income Inequality on Security in Latin America

Mathematics ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 245
Author(s):  
Pablo Ponce ◽  
José Álvarez-García ◽  
Mary Cumbicus ◽  
María de la Cruz del Río-Rama
Keyword(s):  
Income Inequality ◽  
Latin American ◽  
Spatial Dependence ◽  
Generalized Least Squares ◽  
Homicide Rate ◽  
World Health ◽  
Control Variables ◽  
Spatial Error ◽  
Middle Income ◽  
Middle Income Countries

The aim of this research is to analyse the effect of income inequality on the homicide rate. The study is carried out in 18 Latin American countries for the period 2005–2018. The methodology used is the Generalized Least Squares (GLS) model and the data were obtained from World Development Indicators, the World Health Organization and the Inter-American Development Bank. Thus, the dependent variable is the homicide rate and the independent variable is income inequality. In addition, some control variables are included, such as: poverty, urban population rate, unemployment, schooling rate, spending on security and GDP per capita, which improve the consistency of the model. The results obtained through GLS model determine that inequality has a negative and significant effect on the homicide rate for high-income countries (HIC) and lower-middle-income countries (LMIC), whereas it is positive and significant for upper-middle-income countries (UMIC). On the other hand, the control variables show different results by group of countries. In the case of unemployment, it is not significant in any group of countries. Negative spatial dependence was found regarding spatial models such as: the spatial lag (SAR) and spatial error (SEM) method. In the spatial Durbin model (SDM), positive spatial dependence between the variables was corroborated. However, spatial auto-regressive moving average (SARMA) identified no spatial dependence. Under these results it is proposed: to improve productivity, education and improve the efficiency of security-oriented resources.

REDUNDANCY OF MOMENT CONDITIONS AND THE EFFICIENCY OF OLS IN SUR MODELS

2008 ◽  
Vol 24 (5) ◽  
pp. 1456-1460 ◽  
Author(s):  
Hailong Qian
Keyword(s):  
Least Squares ◽  
Asymptotic Efficiency ◽  
Generalized Method Of Moments ◽  
Sufficient Conditions ◽  
Generalized Least Squares ◽  
Ordinary Least Squares ◽  
American Statistical Association ◽  
Orthogonality Condition ◽  
Moment Conditions ◽  
Necessary And Sufficient

In this note, based on the generalized method of moments (GMM) interpretation of the usual ordinary least squares (OLS) and feasible generalized least squares (FGLS) estimators of seemingly unrelated regressions (SUR) models, we show that the OLS estimator is asymptotically as efficient as the FGLS estimator if and only if the cross-equation orthogonality condition is redundant given the within-equation orthogonality condition. Using the condition for redundancy of moment conditions of Breusch, Qian, Schmidt, and Wyhowski (1999, Journal of Econometrics 99, 89–111), we then derive the necessary and sufficient condition for the equal asymptotic efficiency of the OLS and FGLS estimators of SUR models. We also provide several useful sufficient conditions for the equal asymptotic efficiency of OLS and FGLS estimators that can be interpreted as various mixings of the two famous sufficient conditions of Zellner (1962, Journal of the American Statistical Association 57, 348–368).

scholarly journals COST, CONTEXT, AND DECISIONS IN HEALTH ECONOMICS AND HEALTH TECHNOLOGY ASSESSMENT

2018 ◽  
Vol 34 (5) ◽  
pp. 434-441 ◽  
Author(s):  
Anthony J. Culyer
Keyword(s):  
Health Economics ◽  
Health Technology Assessment ◽  
Decision Maker ◽  
Technology Assessment ◽  
Health Technology ◽  
Decision Makers ◽  
Negative Consequences ◽  
Middle Income ◽  
Middle Income Countries ◽  
Context Dependent

Objectives:This study is an attempt to demystify and clarify the idea of cost in health economics and health technology assessment (HTA).Methods:Its method draws on standard concepts in economics. Cost is a more elusive concept than is commonly thought and can be particularly elusive in multidisciplinary territory like HTA.Results:The article explains that cost is more completely defined as opportunity cost, why cost is necessarily associated with a decision, and that it will always vary according to the context of that decision: whether choice is about inputs or outputs, what the alternatives are, the timing of the consequences of the decision, the nature of the commitment to which a decision maker is committed, who the decision maker is, and the constraints and discretion limiting or liberating the decision maker. Distinctions between short and long runs and between fixed and variable inputs are matters of choice, not technology, and are similarly context-dependent. Harms or negative consequences are, in general, not costs. Whether so-called “clinically unrelated” future costs and benefits should be counted in current decisions again depends on context.Conclusions:The costs of entire health programs are context-dependent, relating to planned rates of activity, volumes, and timings. The implications for the methods of HTA are different in the contexts of low- and middle-income countries compared with high-income countries, and further differ contextually according to the budget constraints (fixed or variable) facing decision makers.

scholarly journals Foreign aid on economic growth in Africa: A comparison of low and middle-income countries

2015 ◽  
Vol 18 (4) ◽  
pp. 449-462 ◽  
Author(s):  
Aye Mengistu Alemu ◽  
Jin-Sang Lee
Keyword(s):  
Economic Growth ◽  
Foreign Aid ◽  
Low Income ◽  
Empirical Studies ◽  
Critical Role ◽  
Generalized Method Of Moments ◽  
African Countries ◽  
Middle Income ◽  
Middle Income Countries ◽  
Theoretical Hypothesis

Previous empirical studies on the effects of foreign aid on economic growth have generated mixed results that make it difficult to draw policy recommendations. The main reason for such mixed results is the choice of a single aggregate list of countries, regardless of the disparities in levels of development. This study therefore fills the development gap by disaggregating the African data into a panel of 20 middle- income and 19 low- income African countries over a period of 15 years between 1995 and 2010, and employing a dynamic generalized method of moments (GMM) model to address the dynamic nature of economic growth as well as the problems of endogeneity. The results of this study support the theoretical hypothesis that a positive relationship between aid and GDP growth exists, but only for low-income African countries, not middle-income ones. On the other hand, the study reveals that middle- income African countries tend to experience a greater impact on their economic growth from foreign direct investment (FDI) and natural resources revenues, mainly oil exports. This implies that the frequent criticism that foreign aid has not contributed to economic growth is flawed, at least in the case of low-income African countries. In fact, foreign aid has played a critical role in stimulating economic growth in such countries through supplementing domestic sources of finance such as savings, thus increasing the amount of investment and capital stock in them.

scholarly journals Determinants of Basmati Exports from Pakistan: A Panel Data Analysis

2021 ◽  
Vol 3 (1) ◽  
pp. 12-18
Author(s):  
Muhammad Munwar Hayat ◽  
Raheela Khatoon
Keyword(s):  
Panel Data ◽  
Method Of Moments ◽  
Negative Impact ◽  
Positive Impact ◽  
Panel Data Analysis ◽  
Generalized Method Of Moments ◽  
Trading Partner ◽  
Dummy Variable ◽  
Export Competitiveness ◽  
The Impact

This paper aims to estimate the impact of different factors of basmati exports from Pakistan to its trading partner. Results are obtained by using the Generalized Method of Moments (GMM) model and panel data methodology with a sample of 22 countries for the period of 2003-2019. To estimate the impact of different variables on basmati exports Generalized Method of Moments (GMM) model is used on the panel dataset. The results revealed that the inflation rate of Pakistan has a negative and significant effect on the export competitiveness of Pakistani basmati. The exchange rate of Pakistan has a positive and significant impact on the basmati export, the population of Pakistan has a negative and significant impact on basmati export. Basmati production in Pakistan also has a significant and negative impact on basmati export. The Gross Domestic Product (GDP) of Pakistan has a significant and positive impact on the basmati export while the GDP of the trading partner has a significant and negative impact on the basmati export. The dummy variable for joint border also has a positive and significant impact on basmati exports of Pakistan.

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