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- Hannah H Leslie & Deborah A Karasek & Laura F Harris & Emily Chang & Naila Abdulrahim & May Maloba & Megan J Huchko (2014): Cervical Cancer Precursors and Hormonal Contraceptive Use in HIV-Positive Women: Application of a Causal Model and Semi-Parametric Estimation Methods
Objective: To demonstrate the application of causal inference methods to observational data in the obstetrics and gynecology field, particularly causal modeling and semi-parametric estimation. ... We estimated the population-level association using semi-parametric methods: g-computation, inverse probability of treatment weighting, and targeted maximum likelihood estimation. ... Study data enabled estimation of the latter only with strong assumptions of no unmeasured confounding. ... Marginal modeling suggested a 2.9% (95% confidence interval 0.1%, 6.9%) increase in prevalence of CIN2+ if all women under 50 were exposed to COC; the significance of this association was sensitive to method of estimation and exposure misclassification. ... Semi-parametric estimation methods provided flexibility and reduced reliance on correct model form.
RePEc:plo:pone00:0101090 Save to MyIDEAS - Chen, Tianbo & Sun, Ying & Li, Ta-Hsin (2021): A semi-parametric estimation method for the quantile spectrum with an application to earthquake classification using convolutional neural network
In this paper, a new estimation method is introduced for the quantile spectrum, which uses a parametric form of the autoregressive (AR) spectrum coupled with nonparametric smoothing. The method begins with quantile periodograms which are constructed by trigonometric quantile regression at different quantile levels, to represent the serial dependence of time series at various quantiles. ... Numerical results show that the proposed method outperforms other conventional smoothing techniques. We take advantage of the two-dimensional property of the estimators and train a convolutional neural network (CNN) to classify smoothed quantile periodogram of earthquake data and achieve a higher accuracy than a similar classifier using ordinary periodograms.
RePEc:eee:csdana:v:154:y:2021:i:c:s0167947320301602 Save to MyIDEAS - Xianjin Tu & Victor Shi & Ming Zhang & Gangwu Lv (2021): The Impact of Residents’ Online Consumption on Offline Consumption—An Ordered Probit Semi-Parametric Estimation Method
China Household Financial Survey (CHFS) data and a semi-parametric ordered probit estimation method are used empirical tests.
RePEc:gam:jsusta:v:13:y:2021:i:18:p:10047-:d:631215 Save to MyIDEAS - Peeters, H.M.M. (1989): Het gebruik van een parametrische en een semi-parametrische schattingsmethode voor het binaire keuzemodel: Probit Maximum Likelihood versus Maximum Score
[The use of a parametric and a semi-parametric estimation method for the binary choice model: Probit Maximum Likelihood versus Maximum Score]
This Master thesis investigates the semi-parametric estimation method Maximum Score of Manski (1988) that can be used to estimate binary choice models. ... We compare Maximum Score with the semi parametric estimation method of Maximum Likelihood, that is based on the explicit assumption of normality of the the distribution of the disturbances. ... First, the two estimation methods are compared theoretically. Second, the use of bootstrap methods is explained for the calculation of standard errors and confidence intervals for the Maximum Score estimators. Third, empirical applications are estimated and the results of both estimation methods are compared.
RePEc:pra:mprapa:28104 Save to MyIDEAS - Christina Felfe & Michael Lechner & Petra Thiemann (2013): After-School Care and Parents' Labor Supply
Using semi-parametric instrumental variable methods, we find a positive impact of after-school care provision on mothers’ full-time employment, but a negative impact on fathers’ full-time employment.
RePEc:ces:ceswps:_4487 Save to MyIDEAS - Lechner, Michael & Felfe, Christina & Thiemann, Petra (2013): After-school care and parents? labor supply
Using semi-parametric instrumental variable methods, we find a positive impact of after-school care provision on mothers?
RePEc:cpr:ceprdp:9757 Save to MyIDEAS - Felfe, Christina & Lechner, Michael & Thiemann, Petra (2013): After-school care and parents’ labor supply
Using semi-parametric instrumental variable methods, we find a positive impact of after-school care provision on mothers’ full-time employment, but a negative impact on fathers’ full-time employment.
RePEc:usg:econwp:2013:34 Save to MyIDEAS - Felfe, Christina & Lechner, Michael & Thiemann, Petra (2013): After-School Care and Parents' Labor Supply
Using semi-parametric instrumental variable methods, we find a positive impact of after-school care provision on mothers' full-time employment, but a negative impact on fathers' full-time employment.
RePEc:iza:izadps:dp7768 Save to MyIDEAS - Christian Gouriéroux & Joann Jasiak (2015): Semi-Parametric Estimation of Noncausal Vector Autoregression
This paper introduces consistent semi-parametric estimation methods for mixed causal/noncausal multivariate non-Gaussian processes. ... In general, in the mixed VAR (1) it is possible to distinguish the mixed processes with different numbers of causal and noncausal components.For detecting the causal and noncausal components, a semi-parametric exploratory analysis is proposed. It includes a semi-parametric estimation method that does not require any distributional assumptions on the errors. For direct estimation of the matrix of autoregressive coefficients of a VAR (1), we use the generalized covariance estimator. ... The methods are illustrated by a simulation study.
RePEc:crs:wpaper:2015-02 Save to MyIDEAS - Hanming Fang & Yang Wang (2010): Estimating Dynamic Discrete Choice Models with Hyperbolic Discounting, with an Application to Mammography Decisions
We extend the semi-parametric estimation method for dynamic discrete choice models using Hotz and Miller's (1993) conditional choice probability (CCP) approach to the setting where individuals may have hyperbolic discounting time preferences and may be naive about their time inconsistency. We illustrate the proposed estimation method with an empirical application of adult women's decisions to undertake mammography to evaluate the importance of present bias and naivety in the under-utilization of this preventive health care.
RePEc:nbr:nberwo:16438 Save to MyIDEAS