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A semi-parametric approach to the Oaxaca-Blinder decomposition with continuous group variable and self-selection
Rios-Avila, Fernando - 2019
This paper describes the application of a semiparametric approach, known as a varying coefficients model (Hastie and Tibshirani 1993), to implement a Oaxaca-Blinder type of decomposition in the presence of self-selection into treatment groups for a continuum of comparison groups. The flexibility...
Persistent link: https://www.econbiz.de/10012016731
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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 status is related between parents and adult child. The method overcomes the shortcomings of the elasticity of children’s income with respect to parents’ income (i.e. its...
Persistent link: https://www.econbiz.de/10011958888
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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 status is related between parents and adult child. The method overcomes the shortcomings of the elasticity of children's income with respect to parents' income (i.e. its...
Persistent link: https://www.econbiz.de/10011896785
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Nonparametric estimates for conditional quantiles of time series
Franke, Jürgen E.; Mwita, Peter; Wang, Weining - 2014
We consider the problem of estimating the conditional quantile of a time series fYtg at time t given covariates Xt, where Xt can ei- ther exogenous variables or lagged variables of Yt . The conditional quantile is estimated by inverting a kernel estimate of the conditional distribution function,...
Persistent link: https://www.econbiz.de/10010238365
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A combined nonparametric test for seasonal unit roots
Kunst, Robert M. - 2014
Nonparametric unit-root tests are a useful addendum to the tool-box of time-series analysis. They tend to trade off …
Persistent link: https://www.econbiz.de/10010252130
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Time series modelling with semiparametric factor dynamics
Borak, Szymon; Härdle, Wolfgang; Mammen, Enno; Park, … - 2007
number of factors. The inference on the whole system is then based on the low-dimensional time series analysis. Such …
Persistent link: https://www.econbiz.de/10003633687
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Long memory persistence in the factor of Implied volatility dynamics
Härdle, Wolfgang (contributor); Mungo, Julius (contributor) - 2007
The volatility implied by observed market prices as a function of the strike and time to maturity form an Implied Volatility Surface (IVS). Practical applications require reducing the dimension and characterize its dynamics through a small number of factors. Such dimension reduction is...
Persistent link: https://www.econbiz.de/10003633787
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Prognose mit nichtparametrischen Verfahren
Härdle, Wolfgang; Schulz, Rainer; Wang, Weining - 2010
Persistent link: https://www.econbiz.de/10008663388
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High dimensional nonstationary time series modelling with generalized dynamic semiparametric factor model
Song, Song; Härdle, Wolfgang; Ritov, Ya'acov - 2010
dimensional time series and high dimensional time invariant functions via functional factor analysis. We propose a two … selected by the group Lasso-type technique and choose the space basis based on smoothed functional principal component analysis …. -- Semiparametric model ; Factor model ; Group Lasso ; Seasonality ; Spectral Analysis ; Periodic ; Asymptotic inference ; Weather …
Persistent link: https://www.econbiz.de/10008663392
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Estimation of the characteristics of a Lévy process observed at arbitrary frequency
Kappus, Johanna; Reiß, Markus - 2010
A Lévy process is observed at time points of distance delta until time T. We construct an estimator of the Lévy-Khinchine characteristics of the process and derive optimal rates of convergence simultaneously in T and delta. Thereby, we encompass the usual low- and high-frequency assumptions...
Persistent link: https://www.econbiz.de/10003952994