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Estimating nonlinear intergenerational income mobility with correlation curves
Nilsson, Jan Olof William - 2018
A correlation curve is introduced as a tool to study the degree of intergenerational income mobility, i.e. how income … correlation coefficient (i.e. its inability to capture nonlinearities). The method is particularly suitable for comparative … studies and in this study labour earnings are compared to disposable income. The correlation between the parental income and …
Persistent link: https://www.econbiz.de/10011896785
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Estimating nonlinear intergenerational income mobility with correlation curves
Nilsson, Jan Olof William - 2019
A correlation curve is introduced as a tool to study the degree of intergenerational income mobility, i.e. how income … correlation coefficient (i.e. its inability to capture nonlinearities). The method is particularly suitable for comparative … studies and in this study labour earnings are compared to disposable income. The correlation between the parental income and …
Persistent link: https://www.econbiz.de/10011958888
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Tail analysis without parametric models : a worst-case perspective
Lam, Henry; Mottet, Clementine - In: Operations research 65 (2017) 6, pp. 1696-1711
Persistent link: https://www.econbiz.de/10011777905
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Conditional Independence Restrictions: Testing and Estimation
Linton, Oliver; Gozalo, Pedro - Cowles Foundation for Research in Economics, Yale University - 1996
We propose a nonparametric empirical distribution function based test of an hypothesis of conditional independence between variables of interest. This hypothesis is of interest both for model specification purposes, parametric and semiparametric, and for non-model based testing of economic...
Persistent link: https://www.econbiz.de/10005464056
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Testing Additivity in Generalized Nonparametric Regression Models
Linton, Oliver; Gozalo, Pedro - Cowles Foundation for Research in Economics, Yale University - 1995
We propose a nonparametric test of conditional independence based on the empirical distribution function. The asymptotic null distribution is a mixture of chi-squares. A bootstrap procedure is proposed for calculating the critical values. Our test has power against alternatives at distance...
Persistent link: https://www.econbiz.de/10005762468
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Identification and estimation of preference distributions when voters are ideological
Merlo, Antoine; Paula, Áureo de - 2013
This paper studies the nonparametric identification and estimation of voters' preferences when voters are ideological. We establish that voter preference distributions and other parameters of interest can be identified from aggregate electoral data. We also show that these objects can be...
Persistent link: https://www.econbiz.de/10010189045
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Additive kernel estimates of returns to schooling
Ozabaci, Deniz; Henderson, Daniel J. - 2014
In this paper, we employ a partially linear nonparametric additive regression estimator, with recent U.S. Current Population Survey data, to analyze returns to schooling. Similar to previous research, we find that blacks and Hispanics have higher rates of return on average. However, for married...
Persistent link: https://www.econbiz.de/10010462852
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Estimation of stochastic volatility models by nonparametric filtering
Kanaya, Shin; Kristensen, Dennis - 2015
A two-step estimation method of stochastic volatility models is proposed. In the first step, we nonparametrically estimate the (unobserved) instantaneous volatility process. In the second step, standard estimation methods for fully observed diffusion processes are employed, but with the...
Persistent link: https://www.econbiz.de/10010487528
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Plug-in bandwidth selection for kernel density estimation with discrete data
Chu, Chi-yang; Henderson, Daniel J.; Parmeter, … - In: Econometrics : open access journal 3 (2015) 2, pp. 199-214
This paper proposes plug-in bandwidth selection for kernel density estimation with discrete data via minimization of mean summed square error. Simulation results show that the plug-in bandwidths perform well, relative to cross-validated bandwidths, in non-uniform designs. We further find that...
Persistent link: https://www.econbiz.de/10011296735
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Identification and estimation of preference distributions when voters are ideological
Merlo, Antonio; Paula, Áureo de - 2015 - This version: September, 2015
This paper studies the nonparametric identification and estimation of voters' preferences when voters are ideological. We establish that voter preference distributions and other parameters of interest can be identified from aggregate electoral data. We also show that these objects can be...
Persistent link: https://www.econbiz.de/10011317976