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Pooled mean group panel data estimation

Testing Black Market vs. Official PPP: A Pooled Mean Group Estimation Approach

Testing Black Market vs. Official PPP: A Pooled Mean Group Estimation Approach

... first group of thirty three ...PMG estimation procedure performs well using black market data for high income and upper middle income ...market data perform well for the three groups: ...

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Testing Black Market vs  Official PPP: A Pooled Mean Group Estimation Approach

Testing Black Market vs Official PPP: A Pooled Mean Group Estimation Approach

... first group of thirty three ...PMG estimation procedure performs well using black market data for high income and upper middle income ...market data perform well for the three groups: ...

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A pooled mean group analysis on aid and growth

A pooled mean group analysis on aid and growth

... One of the key …ndings in the nexus between foreign aid and growth in real GDP per capita is that it is conditional on ‘good’policy (Burnside and Dollar, 2000). Recent contributions (for example, Easterly et al., 2004 ...

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Bank Capital and Credit Supply in African Countries: Evidence from Pooled Mean Group Estimation

Bank Capital and Credit Supply in African Countries: Evidence from Pooled Mean Group Estimation

... 6. Concluding remarks Our objective in this study was to analyze the effect of the minimal requirement in stockholders’ equity of the banks on the grant of loans in 15 African countries, over the period from 2002 to ...

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Drivers of CO 2 -Emissions in Fossil Fuel Abundant Settings: (Pooled) Mean Group and Nonparametric Panel Analyses

Drivers of CO 2 -Emissions in Fossil Fuel Abundant Settings: (Pooled) Mean Group and Nonparametric Panel Analyses

... Energies 2020, 13, 3956; doi:10.3390/en13153956 www.mdpi.com/journal/energies In DFE-Model 7 the study controls for the role of political freedoms by adding Political Rights Index of The Freedom House. This is in line ...

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Education Composition and Growth: A Pooled Mean Group Analysis of OECD Countries

Education Composition and Growth: A Pooled Mean Group Analysis of OECD Countries

... standard estimation methodologies show that this nonlinear specification fits the data better than the linear ...the data 9 and alternative nonlinear specifications could also ...

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Automobile Sales and Macroeconomic Variables: A Pooled Mean Group Analysis for Asean Countries

Automobile Sales and Macroeconomic Variables: A Pooled Mean Group Analysis for Asean Countries

... the panel error-correction model. Annual data from 1996 to 2010 involving five variables from five ASEAN countries namely Malaysia, Singapore, Thailand, Philippines and Thailand were accumulated as sample ...

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External Resources and Savings Rate: A Pooled Mean Group Analysis for Developing Countries

External Resources and Savings Rate: A Pooled Mean Group Analysis for Developing Countries

... (i.e. Pooled mean group approach) for a large panel of 65 developing countries from four regions of the world over the period of 1970 to ...general panel results, detailed regional ...

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The sustainability of fiscal policy: A group mean panel estimator approach

The sustainability of fiscal policy: A group mean panel estimator approach

... traditional panel method have been applied to study fiscal data with similar reason, however as we have discussed in our pervious section, heterogeneous panel could be an issues of estimation ...

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Some New Estimates of Shadow Economy for 80 Countries Using Pooled Mean Group Estimator

Some New Estimates of Shadow Economy for 80 Countries Using Pooled Mean Group Estimator

... Since currency in circulation is a subset of the money demand, thus, the currency demand is modelled as a function of a scale variable (often measured by real income) to account for transactions demand, the opportunity ...

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Testing for PPP in the Mean Group Panel Regression Framework: Further Evidence

Testing for PPP in the Mean Group Panel Regression Framework: Further Evidence

... recent data set of an OECD panel limited to the post-Bretton Woods period ...this panel is that it excludes those countries which have recently adopted the common European currency, namely, the ...

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Shrinkage estimation of common breaks in panel data models via adaptive group fused Lasso

Shrinkage estimation of common breaks in panel data models via adaptive group fused Lasso

... the estimation and tests of common breaks in panel data models in which there are  individual units and  time series observations for each ...in panel data ...homogenous panel ...

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A Semiparametric Estimation of Mean Functionals With Nonignorable Missing Data

A Semiparametric Estimation of Mean Functionals With Nonignorable Missing Data

... semi-parametric estimation method of mean functionals with non-ignorable missing ...missing data discussed in Cheng (1994) is used in the ...the estimation method can be made robust. Variance ...

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A parametric approach to the estimation of cointegration vectors in panel data

A parametric approach to the estimation of cointegration vectors in panel data

... for estimation and inference in cointegrated panel data models is considered that is based on a cointegrated VAR(p) ...a pooled least-squares ...

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A Comparative Study for Estimation Parameters in Panel Data Model

A Comparative Study for Estimation Parameters in Panel Data Model

... The values of the independent variable x it , were generated as independent normally distributed random variates with mean µ X and standard deviation σ X . The values of x it were allowed to differ for each ...

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Nonparametric Derivative Estimation for Related-Effect Panel Data

Nonparametric Derivative Estimation for Related-Effect Panel Data

... The results are shown in Tables 1–7. Tables 1–3 are for DGP1 with T = 2: Tables 1, 2 and 3 show, respectively, mean squared error (MSE), bias and standard deviation (SD). Tables 4–6 are for DGP2 with T = 2: Tables ...

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Keynote lecture: Estimation of count-data panel models

Keynote lecture: Estimation of count-data panel models

... child .1059867 .0738452 1.44 0.151 -.0387472 .2507206 lfam .0877134 .1125783 0.78 0.436 -.132936 .3083627 age -.0112009 .0095077 -1.18 0.239 -.0298356 .0074339 mdu Coef. Std. Err. z P>|z| [95% Conf. Interval] ...

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Empirical likelihood estimation in dynamic panel data models

Empirical likelihood estimation in dynamic panel data models

... the group. The more people in your group the better it is for you, but as you are unlikely to to talk to everyone ρ < 1 indicates that the value of having 3 members in your group rather than 2 ...

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Bias Reduction by Recursive Mean Adjustment in Dynamic Panel Data Models

Bias Reduction by Recursive Mean Adjustment in Dynamic Panel Data Models

... Accurate estimation of the dominant root of a stationary but persistent time series are required to determine the speed at which economic time series, such as real exchange rates or interest rates, adjust towards ...

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Economic growth, fossil fuel and non-fossil consumption: a Pooled Mean Group analysis using proxies for capital

Economic growth, fossil fuel and non-fossil consumption: a Pooled Mean Group analysis using proxies for capital

... formation data restricts the number of admissible countries in this sample, so instead the emphasis is on countries that are likely to have a significant impact on the energy landscape in future years and whose ...

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