Sieve maximum likelihood estimation of the spatial autoregressive Tobit model
DOI10.1016/j.jeconom.2017.10.008zbMath1386.62032OpenAlexW2776577774MaRDI QIDQ1706448
Publication date: 22 March 2018
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jeconom.2017.10.008
social networkTobit modelspatial autoregressive modelsieve maximum likelihood estimationnear-epoch dependenceTobit censoring
Applications of statistics to economics (62P20) Inference from spatial processes (62M30) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)
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- Maximum likelihood estimation of a spatial autoregressive Tobit model
- Semi-Nonparametric Maximum Likelihood Estimation
- Central limit theorems and uniform laws of large numbers for arrays of random fields
- On spatial processes and asymptotic inference under near-epoch dependence
- Partial maximum likelihood estimation of spatial probit models
- Exponential series estimator of multivariate densities
- Nonparametric spatial regression under near-epoch dependence
- An exponential inequality under weak dependence
- Exponential inequalities for sums of weakly dependent variables
- Approximation of density functions by sequences of exponential families
- Mixing: Properties and examples
- Convergence rate of sieve estimates
- On methods of sieves and penalization
- A new weak dependence condition and applications to moment inequalities
- Probability inequalities for likelihood ratios and convergence rates of sieve MLEs
- A spatial autoregressive model with a nonlinear transformation of the dependent variable
- Exponential inequalities for martingales with applications
- CONSISTENCY AND ASYMPTOTIC NORMALITY OF SIEVE ML ESTIMATORS UNDER LOW-LEVEL CONDITIONS
- Who's Who in Networks. Wanted: The Key Player
- Peer Effects and Social Networks in Education
- Multivariate Regression and Simultaneous Equation Models when the Dependent Variables Are Truncated Normal
- Incomplete Simultaneous Discrete Response Model with Multiple Equilibria
- Sieve Extremum Estimates for Weakly Dependent Data
- Exponential inequalities and functional central limit theorems for random fields
- Identification in Parametric Models
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