Semi-parametric and Parametric Approach
Robust Lorenz curves : a semi-parametric approach
... a semi-parametric approach in that the up- per tail of the distribution is robustly …tted using the Pareto model and a semi-parametric Lorenz curve is then build which combines non ...
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Robust stochastic dominance: A semi-parametric approach
... a semi-parametric approach in that the upper tail of the distribution is robustly fitted using the Pareto model and a semi-parametric Lorenz curve is then built which combines ...
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Economic conditions and birth spacing in Colombia: a semi parametric approach
... a semi-parametric approach Abstract: This document aims to provide evidence on the association between economic conditions and household fertility decisions related to birth spacing by using a Cox ...
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Tax Policy and Economic Growth: A Semi-Parametric Approach Using AMT
... The Semi-parametric approach is used to estimate the functional ...of semi-parametric and resulting the Linear Mixed Model, its estimation is easily carried out by maximum likelihood ...
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Analyzing Tax Policy and Economic Growth by Using Semi-Parametric Approach
... the Semi parametric approach we found that the AMTR as well as population affect the economic growth negatively and significantly, while investment and education affect the economic growth positively ...
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Multiple Regimes in Cross-Region Growth Regressions with Spatial Dependence: A Parametric and a Semi-parametric Approach
... a semi-parametric model of regional growth in Europe to simultaneously identify the presence of multiple regimes and deal with the problem of spatial ...the semi- parametric model and the ...
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Returns to basic skills in Central and Eastern Europe - a semi-parametric approach
... simple parametric functional forms such as a quadratic or ...a semi-parametric estimator where the conventional part for the earnings equation is estimated parametrically by least squares and the ...
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Iterative Least Squares Estimator of Binary Choice Models: a Semi Parametric Approach
... The method is based on a semi-parametric interpreta- tion of the Expectation and Maximization (EM) principle (Dempster et al, 1977) and the least squares approach. By using the least squ[r] ...
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Efficiency Analysis of Rural Hospitals: Parametric and Semi-parametric Approaches
... a parametric approach based on production or cost ...two-stage approach in which efficiency scores are estimated in the first stage using data envelopment analysis (DEA), and, in the second stage, ...
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Non-parametric and semi-parametric estimation of spatial covariance function
... of parametric models and face the computational obstacle of getting the inverse and determinant of a covariance ...a parametric covariance function can be ...the parametric approach with least ...
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Semi-parametric forecasting of realized volatility
... We begin with the MCS results for the low volatility subsample in Table 2. Unless stated, we treat a forecasts with p-values of greater than 0.1 as being con- tained in the MCS. At a 1 day forecast horizon, based on the ...
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Comparing parametric and semi-parametric approaches for bayesian cost-effectiveness analyses in health economics
... A semi-parametric approach In recognising the extreme complexity of cost distributions (the construction of cost data as a weighted sum of different resource counts implies that cost distributions ...
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Semi-Parametric Seasonal Unit Root Tests
... HEGY approach outlined in section 2.3 adopts a parametric approach to modelling serial correlation present in u Sn+s of ...non- parametric approaches to accounting for the serial correlation ...
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Dependency Analysis between Foreign Exchange Rates: A Semi-Parametric Copula Approach
... fully parametric approach, where the marginals are chosen from a parametric family along with a parametric ...any parametric family chosen requires test- ing for ...non- ...
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Democracy and Agricultural Protection: Parametric and Semi-parametric Matching Estimates
... Accordingly, to have better insights on the effect of political regime transition on the level of agricultural protection we combine difference-in-differences with propensity score matching method. As such we follow the ...
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Parametric and Semi-parametric Estimations of the Return to Schooling in South Africa
... 2.1.3 Using Panel Data of Twins An alternative to the instrumental variables approach to the problem of endogeneity is to study education and earnings outcomes from a panel of twins. The key idea is that some of ...
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Validation tests for semi-parametric models.
... for some β ∈ R p , and some function g : R q 7→ R, against general alternatives. In this general context there exist very few works on the specification problem of testing H 0 . For instance, Yatchew (1992) proposed a ...
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Piece-Rates, Principal-Agent, and Productivity Profiles: Parametric and Semi-Parametric Evidence
... This paper exploits the natural link between observed wages and productivity that is inherent in piece-rate wage data to estimate worker productivity profiles. Piece-rate wages are functions of the parameters of the ...
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Semi and non semi parametric models for reliability analysis
... 2 Department of Statistics, Arignar Anna Government Arts College, Villupuram – 605602 A R T I C L E I N F O A B S T R A C T In this Paper, The purpose of applying the Cox-regression is mainly for comparison between the ...
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Semi- and non-parametric flood frequency analysis
... In some applications observations from closely related variables are available, with possi- bly identical EVI γ. If these variables are observed for the same time period, a procedure called BEAR estimator has recently ...
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