Showing 3,441 - 3,460 results of 21,342 for search '(( significant decrease decrease ) OR ( significant bias decrease ))', query time: 0.40s Refine Results
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    Fig 8 - by Junxia Zhou (14381598)

    Published 2024
    Subjects:
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  11. 3451

    Balance test results. by Yi Yu (28902)

    Published 2025
    “…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”
  12. 3452

    Mechanism analysis results. by Yi Yu (28902)

    Published 2025
    “…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”
  13. 3453

    Endogenous test results. by Yi Yu (28902)

    Published 2025
    “…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”
  14. 3454

    Heterogeneity analysis results. by Yi Yu (28902)

    Published 2025
    “…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”
  15. 3455

    Robustness test results. by Yi Yu (28902)

    Published 2025
    “…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”
  16. 3456

    Baseline results of the impact of RLM on HWSW. by Yi Yu (28902)

    Published 2025
    “…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”
  17. 3457

    The influencing factors of RLM. by Yi Yu (28902)

    Published 2025
    “…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”
  18. 3458

    Variable definitions and basic statistics. by Yi Yu (28902)

    Published 2025
    “…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”
  19. 3459

    Average and marginal effects of RLM on HWSW. by Yi Yu (28902)

    Published 2025
    “…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”
  20. 3460