Consumer sentiment and house prices: asymmetric evidence from state-level data in the United States

被引:3
|
作者
Bahmani-Oskooee, Mohsen [1 ,2 ]
Ghodsi, Hesam [3 ]
Hadzic, Muris [4 ]
机构
[1] Univ Wisconsin, Ctr Res Int Econ, Milwaukee, WI 53201 USA
[2] Univ Wisconsin, Dept Econ, Milwaukee, WI 53201 USA
[3] Charles Schwab & Co Inc, Risk Analyt Modeling, Model Risk Oversight, Denver, CO USA
[4] Lake Forest Coll, Dept Econ Business & Finance, Lake Forest, IL 60045 USA
关键词
Nonlinear ARDL; House prices; Asymmetric analysis; State-level data; Household sentiment; The USA; MARKET; INCOME; GREECE;
D O I
10.1108/IJHMA-06-2021-0075
中图分类号
TU98 [区域规划、城乡规划];
学科分类号
0814 ; 082803 ; 0833 ;
摘要
Purpose The purpose of this paper is to assess and compare the symmetric and asymmetric effects of consumer sentiment on house prices in each state of the USA. This is the first study that uses state-level data. Design/methodology/approach Both linear and nonlinear autoregressive distributed lag approaches are used to assess the asymmetric effects of consumer sentiment on house prices in each state of the USA. Findings When the authors estimated a linear symmetric model, this paper found short-run effects of consumer sentiment on house prices in 34 states that lasted into the long-run in only 13 states. The comparable numbers by estimating a nonlinear asymmetric model were 47 and 22, respectively. The increase in the number of states where consumer sentiment affects house prices was attributed to the nonlinear adjustments of consumer sentiment. Originality/value The authors deviate from previous research and assess the impact of consumer sentiment on house prices by using data from each state of the USA. The authors also deviate from previous research by demonstrating that the effects could be asymmetric. No study has done this at the state-level.
引用
收藏
页码:1088 / 1121
页数:34
相关论文
共 50 条
  • [21] On the link between policy uncertainty and housing permits: asymmetric evidence from state-level data in the USA
    Bahaman-Oskooee, Mohsen
    Ghodsi, Hesam
    Hadzic, Muris
    INTERNATIONAL JOURNAL OF HOUSING MARKETS AND ANALYSIS, 2021, 14 (05) : 1027 - 1041
  • [22] State-Level Zoonotic Disease Surveillance in the United States
    Scotch, M.
    Rabinowitz, P.
    Brandt, C.
    ZOONOSES AND PUBLIC HEALTH, 2011, 58 (08) : 523 - 528
  • [23] Economics and politics in the United States: a state-level investigation
    Chang, Chun-Ping
    Kim, Yoonbai
    Ying, Yung-hsiang
    JOURNAL OF ECONOMIC POLICY REFORM, 2009, 12 (04) : 343 - 354
  • [24] State-level regulation of disinfection byproducts in the United States
    Wang, Jie
    McNally, Max G.
    Ulibarri, Nicola
    Gim, Changdeok
    Olson, Valerie A.
    Feldman, David L.
    WATER POLICY, 2024, 26 (10) : 1056 - 1068
  • [25] Absolutist Words From Search Volume Data Predict State-Level Suicide Rates in the United States
    Adam-Troian, Jais
    Arciszewski, Thomas
    CLINICAL PSYCHOLOGICAL SCIENCE, 2020, 8 (04) : 788 - 793
  • [26] ESTIMATING STATE-LEVEL INPUT-OUTPUT RELATIONSHIPS FROM UNITED-STATES MULTIREGIONAL DATA
    MILLER, RE
    BLAIR, P
    INTERNATIONAL REGIONAL SCIENCE REVIEW, 1983, 8 (03) : 233 - 254
  • [27] How to interpret consumer confidence shocks? State-level evidence☆
    Choi, Sangyup
    Jeong, Jaehun
    Yoo, Donghoon
    ECONOMICS LETTERS, 2024, 244
  • [28] A Data-Driven Framework to Characterize State-Level Water Use in the United States
    Wongso, E.
    Nateghi, R.
    Zaitchik, B.
    Quiring, S.
    Kumar, R.
    WATER RESOURCES RESEARCH, 2020, 56 (09)
  • [29] A State-Level Socioeconomic Data Collection of the United States for COVID-19 Research
    Sha, Dexuan
    Malarvizhi, Anusha Srirenganathan
    Liu, Qian
    Tian, Yifei
    Zhou, You
    Ruan, Shiyang
    Dong, Rui
    Carte, Kyla
    Lan, Hai
    Wang, Zifu
    Yang, Chaowei
    DATA, 2020, 5 (04) : 1 - 18
  • [30] DOES MOTOR VOTER WORK - EVIDENCE FROM STATE-LEVEL DATA
    KNACK, S
    JOURNAL OF POLITICS, 1995, 57 (03): : 796 - 811