Nonparametric estimation of dynamic discrete choice models for time series data
DOI10.1016/j.csda.2016.10.024zbMath1466.62175OpenAlexW2552692316WikidataQ56270537 ScholiaQ56270537MaRDI QIDQ1658465
Valentin Zelenyuk, Byeong U. Park, Léopold Simar
Publication date: 14 August 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://espace.library.uq.edu.au/view/UQ:415620/UQ415620_OA.pdf
Applications of statistics to economics (62P20) Computational methods for problems pertaining to statistics (62-08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Nonparametric estimation (62G05)
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Cites Work
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- Nonparametric estimation of regression functions with both categorical and continuous data
- On binary and categorical time series models with feedback
- Nonparametric identification of a binary random factor in cross section data
- Semiparametric analysis of discrete response. Asymptotic properties of the maximum score estimator
- Maximum score estimation of the stochastic utility model of choice
- Bootstrap methods: another look at the jackknife
- Nonparametric identification and estimation of polychotomous choice models
- Semiparametric qualitative response model estimation with unknown heteroscedasticity or instrumental variables
- Generalized nonparametric smoothing with mixed discrete and continuous data
- Distribution-Free Maximum Likelihood Estimator of the Binary Choice Model
- NONPARAMETRIC ESTIMATORS FOR TIME SERIES
- Non-parametric regression for binary dependent variables
- Uniform Consistency of Kernel Estimators of a Regression Function Under Generalized Conditions
- Efficiency Bounds for Distribution-Free Estimators of the Binary Choice and the Censored Regression Models
- How Far Are Automatically Chosen Regression Smoothing Parameters From Their Optimum?
- Nonparametric and Districtuion-Free Estimation of the Binary Threshold Crossing and The Binary Choice Models
- A Smoothed Maximum Score Estimator for the Binary Response Model
- Multivariate binary discrimination by the kernel method
- MULTIVARIATE LOCAL POLYNOMIAL REGRESSION FOR TIME SERIES:UNIFORM STRONG CONSISTENCY AND RATES
- Nonstationary Binary Choice
- Predicting the Direction of the Fed's Target Rate
- Local Polynomial Kernel Regression for Generalized Linear Models and Quasi-Likelihood Functions
- DYNAMIC TIME SERIES BINARY CHOICE
- An Efficient Semiparametric Estimator for Binary Response Models
- An Econometric Analysis of Some Models for Constructed Binary Time Series
- Semiparametric Binary Choice Panel Data Models Without Strictly Exogeneous Regressors
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