Equivalence of the standard and the modified switching regression models

被引:0
|
作者
Ai, CR [1 ]
Cassou, SP [1 ]
机构
[1] SUNY STONY BROOK, STONY BROOK, NY 11794 USA
关键词
D O I
10.2307/2109942
中图分类号
F [经济];
学科分类号
02 ;
摘要
Ophem (1993) employed a switching regression model with earnings entering the choice equation to investigate earnings differentials between the public and private sectors. Ophem also described a ''modified switching regression model'' in which only the equation for unknown earnings is substituted into the choice equation. He argued the coefficients in the choice equation can be identified in the modified switching regression model without exclusion restrictions and estimates from the modified switching regression model are more efficient than estimates from the standard switching regression model. We show that there are flaws in Ophem's analysis which invalidate his claims.
引用
收藏
页码:365 / 366
页数:2
相关论文
共 50 条
  • [41] Learning about the across-regime correlation in switching regression models
    Koop, G
    Poirier, DJ
    JOURNAL OF ECONOMETRICS, 1997, 78 (02) : 217 - 227
  • [42] Switching Regression Models and Causal Inference in the Presence of Discrete Latent Variables
    Christiansen, Rune
    Peters, Jonas
    JOURNAL OF MACHINE LEARNING RESEARCH, 2020, 21
  • [43] Fault detection of nonlinear processes based on switching linear regression models
    Ciabattoni, Lucio
    Ferracuti, Francesco
    Freddi, Alessandro
    Ippoliti, Gianluca
    Longhi, Sauro
    Monteriu, Andrea
    PROCEEDINGS OF THE IECON 2016 - 42ND ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2016, : 400 - 405
  • [44] Switching regression models and causal inference in the presence of discrete latent variables
    Department of Mathematical Sciences, University of Copenhagen, Copenhagen, Denmark
    Christiansen, Rune (krunechristiansen@math.ku.dk), 1600, Microtome Publishing (21):
  • [45] Equivalence Testing for Linear Regression
    Campbell, Harlan
    PSYCHOLOGICAL METHODS, 2024, 29 (01) : 88 - 98
  • [46] Estimating equivalence with quantile regression
    Cade, Brian S.
    ECOLOGICAL APPLICATIONS, 2011, 21 (01) : 281 - 289
  • [47] The alarming problems of confounding equivalence using logistic regression models in the perspective of causal diagrams
    Yuanyuan Yu
    Hongkai Li
    Xiaoru Sun
    Ping Su
    Tingting Wang
    Yi Liu
    Zhongshang Yuan
    Yanxun Liu
    Fuzhong Xue
    BMC Medical Research Methodology, 17
  • [48] The alarming problems of confounding equivalence using logistic regression models in the perspective of causal diagrams
    Yu, Yuanyuan
    Li, Hongkai
    Sun, Xiaoru
    Su, Ping
    Wang, Tingting
    Liu, Yi
    Yuan, Zhongshang
    Liu, Yanxun
    Xue, Fuzhong
    BMC MEDICAL RESEARCH METHODOLOGY, 2017, 17
  • [49] DEPENDENT REGRESSION AND CORRELATION OVER TIME, AND THE EQUIVALENCE OF GC (GROWTH CURVE) AND SUR (SEEMINGLY UNRELATED REGRESSION) MODELS - A REVIEW
    KOTZE, D
    KOTZE, TJV
    SOUTH AFRICAN STATISTICAL JOURNAL, 1985, 19 (02) : 141 - 142
  • [50] Flexible regression models for ROC and risk analysis, with or without a gold standard
    Branscum, Adam J.
    Johnson, Wesley O.
    Hanson, Timothy E.
    Baron, Andre T.
    STATISTICS IN MEDICINE, 2015, 34 (30) : 3997 - 4015