CROSS-SECTIONAL TRAVEL DEMAND MODELS - ESTIMATES AND TESTS

被引:24
|
作者
QUANDT, RE
YOUNG, KH
机构
[1] PRINCETON UNIV, PRINCETON, NJ USA
[2] MATHEMATICA, PRINCETON, NJ USA
关键词
D O I
10.1111/j.1467-9787.1969.tb01334.x
中图分类号
F [经济];
学科分类号
02 ;
摘要
引用
收藏
页码:201 / 214
页数:14
相关论文
共 50 条
  • [1] UNITED-STATES MONEY DEMAND - SURPRISING CROSS-SECTIONAL ESTIMATES
    MULLIGAN, CB
    SALAIMARTIN, X
    BROOKINGS PAPERS ON ECONOMIC ACTIVITY, 1992, (02) : 285 - 329
  • [2] Firm Characteristics, Cross-Sectional Regression Estimates, and Asset Pricing Tests
    Kirby, Chris
    REVIEW OF ASSET PRICING STUDIES, 2020, 10 (02): : 290 - 334
  • [3] Diagnostic tests for homoskedasticity in spatial cross-sectional or panel models
    Baltagi, Badi H.
    Pirotte, Alain
    Yang, Zhenlin
    JOURNAL OF ECONOMETRICS, 2021, 224 (02) : 245 - 270
  • [4] CROSS-SECTIONAL TRAVEL DEMAND FUNCTIONS - US VISITORS TO HAWAII, 1961-70
    BECHDOLT, BV
    QUARTERLY REVIEW OF ECONOMICS AND BUSINESS, 1973, 13 (04): : 37 - 47
  • [5] UNITED-STATES MONEY DEMAND - SURPRISING CROSS-SECTIONAL ESTIMATES - COMMENTS AND DISCUSSION
    MANKIW, NG
    ROTEMBERG, JJ
    BROOKINGS PAPERS ON ECONOMIC ACTIVITY, 1992, (02) : 330 - 343
  • [6] Copula-based tests for cross-sectional independence in panel models
    Huang, Hongming
    Kao, Chihwa
    Urga, Giovanni
    ECONOMICS LETTERS, 2008, 100 (02) : 224 - 228
  • [7] Bending tests and cross-sectional analyses of multilayered flexible pipe models
    Ichihiko Takahashi
    Sotaro Masanobu
    Shigeo Kanada
    Katsuya Maeda
    Hiroki Manabe
    Takeharu Yamaguchi
    Yoshihisa Tanaka
    Journal of Marine Science and Technology, 2020, 25 : 397 - 410
  • [8] Bending tests and cross-sectional analyses of multilayered flexible pipe models
    Takahashi, Ichihiko
    Masanobu, Sotaro
    Kanada, Shigeo
    Maeda, Katsuya
    Manabe, Hiroki
    Yamaguchi, Takeharu
    Tanaka, Yoshihisa
    JOURNAL OF MARINE SCIENCE AND TECHNOLOGY, 2020, 25 (02) : 397 - 410
  • [9] Travel demand forecasts improved by using cross-sectional data from multiple time points
    Nobuhiro Sanko
    Transportation, 2014, 41 : 673 - 695
  • [10] Travel demand forecasts improved by using cross-sectional data from multiple time points
    Sanko, Nobuhiro
    TRANSPORTATION, 2014, 41 (04) : 673 - 695