Another Look at the Income Elasticity of Non-Point Source Air Pollutants: A Semiparametric Approach [PDF]
In this paper, a semiparametric model is used to examine the relationship between pollution and income for three non-point source pollutants. Statistical tests reject the quadratic specification in favor of the semiparametric model in all cases. However,
Nilanjana Roy, G. Cornelis van Kooten
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Bootstrap-based Bandwidth Selection for Semiparametric Generalized Regression Estimators [PDF]
This paper considers the problem of implementing semiparametric extremum estimators of a generalized regression model with an unknown link function. The class of estimator under consideration includes as special cases the semiparametric least-squares ...
Chuan Goh
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Bayesian Semiparametric Inference in Multiple Equation Models [PDF]
This paper outlines an approach to Bayesian semiparametric regression in multiple equation models which can be used to carry out inference in seemingly unrelated regressions or simultaneous equations models with nonparametric components.
Gary Koop, Dale Poirier, Justin Tobias
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Test of Convergence in Agricultural Factor Productivity: A Semiparametric Approach [PDF]
We tested for club convergence in U.S. agricultural total factory productivity using a sigma convergence test. We used the same club of states as used by McCunn and Huffman as well as different states within 10 clubs identified by the cluster analysis ...
Pandit, Mahesh +2 more
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Longitudinal Data Regression Analysis Using Semiparametric Modelling
Zhang, Leng and Tang (2015) propose joint parametric modelling of the means, variances, and the correlations by decomposing the correlation matrix via hyperspherical co-ordinates and show that this results unconstrained parameterization, fast ...
Abdulla Mamun, Sudhir Paul
doaj
An Analysis of Housing Expenditure Using Semiparametric Models and Panel Data [PDF]
In this paper we model expenditure on housing for owners and renters by means of endogenous switching regression models for panel data. We explain the share of housing in total expenditure from a household specific effect, family characteristics and ...
Charlier, E. +2 more
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Efficient Estimation in Semiparametric GARCH Models [PDF]
It is well-known that financial data sets exhibit conditional heteroskedasticity.GARCH type models are often used to model this phenomenon. Since the distribution of the rescaled innovations is generally far from a normal distribution, a semiparametric ...
Klaassen, C.A.J., Drost, F.C.
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Assessing Unmeasured Confounding in Observational Research via Bayesian Semiparametric Modeling. [PDF]
Xu X, MacEachern SN, Lu B.
europepmc +1 more source
Penalised Spline Estimation of Covariate-Specific Time-Dependent ROC Curves. [PDF]
Rodríguez-Álvarez MX, Inácio V.
europepmc +1 more source

