STATISTICAL MODELING OF TOURISM INVESTMENT DECISIONS IN INDONESIA USING SEMIPARAMETRIC APPROACH
The tourism potential in Indonesia is very large considering that Indonesia consists of tens of thousands of separate islands. Indonesia has many diverse landscapes, with all its nature wealth and biodiversity in it is an attraction for investors who ...
Yossy Maynaldi Pratama +4 more
doaj +1 more source
Stability Enhanced Variable Selection for a Semiparametric Model with Flexible Missingness Mechanism and Its Application to the ChAMP Study. [PDF]
Yang Y +4 more
europepmc +1 more source
Trade Sophistication and Economic Development Stages in the Context of Global Digitalization
ABSTRACT This study aims to explore the relationship between trade sophistication and economic development stages, including in the context of digitalization. We employ nonparametric, semiparametric, and parametric methods, covering the period from 2003 to 2024 across 119 countries, categorized into three income groups.
Kim Hanh Nguyen +3 more
wiley +1 more source
In this paper, we discuss the statistical inference of interval-censored recurrence event data under an informative observation process. We establish an additive semiparametric mean model for the recurrence event process.
Ni Li, Meiting Lin, Yakun Shang
doaj +1 more source
Computing nonparametric functional estimates in semiparametric problems. [PDF]
We offer a set of FORTRAN routines which compute nonparametric estimates of a number of functionals. The routines are primarily intended to be used in the estimation of semiparametric models.
Delgado, Miguel A.
core
Endogenous semiparametric binary choice models with heteroscedasticity [PDF]
In this paper we consider endogenous regressors in the binary choice model under a weak median exclusion restriction, but without further specification of the distribution of the unobserved random components.
Stefan Hoderlein
core
Estimation of Copula-Based Semiparametric Time Series Models [PDF]
This paper studies the estimation of a class of copula-based semiparametric stationary Markov models. These models are characterized by nonparametric invariant (or marginal) distributions and parametric copula functions that capture the temporal ...
Yanqin Fan, Xiaohong Chen
core
Efficient Estimation of Semiparametric Conditional Moment Models with Possibly Nonsmooth Residuals [PDF]
This paper considers semiparametric efficient estimation of conditional moment models with possibly nonsmooth residuals in unknown parametric components (theta) and unknown functions (h) of endogenous variables.
Demian Pouzo, Xiaohong Chen
core +2 more sources
A CLOSER LOOK AT INDIRECT CAUSES OF DEATH AFTER HURRICANE MARIA USING A SEMIPARAMETRIC MODEL
Lugo O, Rivera R.
europepmc +1 more source
Asymptotic Expansions for Some Semiparametric Program Evaluation Estimators [PDF]
We investigate the performance of a class of semiparametric estimators of the treatment effect via asymptotic expansions. We derive approximations to the first two moments of the estimator that are valid to 'second order'.
Oliver Linton, Hidehiko Ichimura
core

