SEMIPARAMETRIC ESTIMATION OF CENSORED SPATIAL AUTOREGRESSIVE MODELS

• 資料種別: 記事
• タイトル: SEMIPARAMETRIC ESTIMATION OF CENSORED SPATIAL AUTOREGRESSIVE MODELS
• 著者標目: Tadao Hoshino
• 出版年月日等: 2019-02-28
• 出版年（W3CDTF）: 2019-02-28
• タイトル（掲載誌）: Econometric Theory
• 巻号年月日等（掲載誌）: 36 1
• 掲載巻: 36
• 掲載号: 1
• 掲載ページ: 48-85
• 掲載年月日（W3CDTF）: 2019-02-28
• ISSN（掲載誌）: 02664666
• 出版事項（掲載誌）: Cambridge University Press (CUP)
• 対象利用者: 一般
• DOI: 10.1017/s0266466618000488; https://doi.org/10.1017/s0266466618000488; 10.2139/ssrn.2726289; https://doi.org/10.2139/ssrn.2726289
• 作成日（W3CDTF）: 2019-02-28
• 著作権情報: https://www.cambridge.org/core/terms
• 関連情報（URI）: https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0266466618000488
• 参照: Generic Uniform Convergence; https://cir.nii.ac.jp/crid/1360292620131273088; Spatial Analyses of Homicide with Areal Data; https://cir.nii.ac.jp/crid/1360300776627199232; Semiparametric and nonparametric estimation of sample selection models under symmetry; https://cir.nii.ac.jp/crid/1360574094671431936; On Parameters of Increasing Dimensions; https://cir.nii.ac.jp/crid/1360574095784352256; Semiparametric Spatial Autoregressive Models With Endogenous Regressors: With an Application to Crime Data; https://cir.nii.ac.jp/crid/1360848659083958016; Quantile regression with censoring and endogeneity; https://cir.nii.ac.jp/crid/1360855569347209984; Estimating Spatial Probit Models in R; https://cir.nii.ac.jp/crid/1360855570808312448; LM tests for spatial correlation in spatial models with limited dependent variables; https://cir.nii.ac.jp/crid/1360855571541465088; QUANTIFYING KNOWLEDGE SPILLOVERS USING SPATIAL ECONOMETRIC MODELS; https://cir.nii.ac.jp/crid/1361137043681075072; Inference on endogenously censored regression models using conditional moment inequalities; https://cir.nii.ac.jp/crid/1361137044081931008; Spatial Regression Models in Criminology: Modeling Social Processes in the Spatial Weights Matrix; https://cir.nii.ac.jp/crid/1361137044470731904; A Smoothed Maximum Score Estimator for the Binary Response Model; https://cir.nii.ac.jp/crid/1361137044670802432; Smoothed Spatial Maximum Score Estimation of Spatial Autoregressive Binary Choice Panel Models; https://cir.nii.ac.jp/crid/1361137044697210752; Protected areas, local governments, and strategic interactions: The case of the ICMS-Ecológico in the Brazilian state of Paraná; https://cir.nii.ac.jp/crid/1361418518613222784; A simple consistent test of conditional symmetry in symmetrically trimmed tobit models; https://cir.nii.ac.jp/crid/1361418519169001600; Introduction to Spatial Econometrics; https://cir.nii.ac.jp/crid/1361418519288390272; Least absolute deviations estimation for the censored regression model; https://cir.nii.ac.jp/crid/1361418520113075712; An Alternative Estimator for the Censored Quantile Regression Model; https://cir.nii.ac.jp/crid/1361418520603209856; Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances; https://cir.nii.ac.jp/crid/1361699993845971968; SEMIPARAMETRIC ESTIMATION OF NONSTATIONARY CENSORED PANEL DATA MODELS WITH TIME VARYING FACTOR LOADS; https://cir.nii.ac.jp/crid/1361699995616261120; Regression Analysis when the Dependent Variable Is Truncated Normal; https://cir.nii.ac.jp/crid/1361981469095352576; SPATIAL SEMIPARAMETRIC MODEL WITH ENDOGENOUS REGRESSORS; https://cir.nii.ac.jp/crid/1362262943864558208; Simulation and the Asymptotics of Optimization Estimators; https://cir.nii.ac.jp/crid/1362262944200037120; Efficient estimation of binary choice models under symmetry; https://cir.nii.ac.jp/crid/1362262944810305152; TAX‐LIMITED REACTION FUNCTIONS; https://cir.nii.ac.jp/crid/1362262945116786688; Specification tests for distributional assumptions in the Tobit model; https://cir.nii.ac.jp/crid/1362544418629601664; On the Performance of Some Robust Instrumental Variables Estimators; https://cir.nii.ac.jp/crid/1362544419646520192; Maximum score estimation of the stochastic utility model of choice; https://cir.nii.ac.jp/crid/1362544420626998144; Limiting distributions for $L\sb 1$ regression estimators under general conditions; https://cir.nii.ac.jp/crid/1362544421221822848; Two-Stage Least Squares Estimation of Spatial Autoregressive Models with Endogenous Regressors and Many Instruments; https://cir.nii.ac.jp/crid/1362825894246332160; Statistical Analysis of Spatial Crime Data; https://cir.nii.ac.jp/crid/1362825894835442048; Geographical distribution of crime in Italian provinces: a spatial econometric analysis; https://cir.nii.ac.jp/crid/1362825895164299392; Symmetrically Trimmed Least Squares Estimation for Tobit Models; https://cir.nii.ac.jp/crid/1362825895702409728; Sieve maximum likelihood estimation of the spatial autoregressive Tobit model; https://cir.nii.ac.jp/crid/1362825896065147776; Maximum likelihood estimation of a spatial autoregressive Tobit model; https://cir.nii.ac.jp/crid/1362825896203049984; Three-Step Censored Quantile Regression and Extramarital Affairs; https://cir.nii.ac.jp/crid/1363107368305396608; On Two-Step Estimation of a Spatial Autoregressive Model with Autoregressive Disturbances and Endogenous Regressors; https://cir.nii.ac.jp/crid/1363107369418906112; A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances; https://cir.nii.ac.jp/crid/1363388843597477888; ASYMPTOTIC THEORY FOR NONLINEAR QUANTILE REGRESSION UNDER WEAK DEPENDENCE; https://cir.nii.ac.jp/crid/1363388843972423424; Stochastic Limit Theory; https://cir.nii.ac.jp/crid/1363388844937693696; Nonparametric identification and estimation of sample selection models under symmetry; https://cir.nii.ac.jp/crid/1363388845824085760; On spatial processes and asymptotic inference under near-epoch dependence; https://cir.nii.ac.jp/crid/1363670318556614912; Central limit theorems and uniform laws of large numbers for arrays of random fields; https://cir.nii.ac.jp/crid/1363951793322541440; Two-step estimation of semiparametric censored regression models; https://cir.nii.ac.jp/crid/1364233268502072960; Resampling methods for spatial regression models under a class of stochastic designs; https://cir.nii.ac.jp/crid/1364233270838093824; Identification and information in monotone binary models; https://cir.nii.ac.jp/crid/1364233271106602496; 東京23区における住宅対象侵入窃盗犯の地理的分布の変化; https://cir.nii.ac.jp/crid/1390282679189308032
• 連携機関・データベース: 国立情報学研究所 : CiNii Research; https://cir.nii.ac.jp/
• 提供元機関・データベース: Crossref; https://www.crossref.org; 科学研究費助成事業データベース; https://kaken.nii.ac.jp/ja

• 要約等: <jats:p>This study considers the estimation of spatial autoregressive models with censored dependent variables, where the spatial autocorrelation exis...