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An Econometric Analysis of the Impact of Telecare on the Length of Stay in Hospital

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  • Momanyi, Kevin

Abstract

In this paper, we develop a theoretical model that links the demand for telecare to the length of stay in hospital and formulate three models that can be used to derive the treatment effect by making various assumptions about the probability distribution of the outcome measure. We then fit the models to data and estimate them using a strategy that controls for the effects of confounding variables and unobservable factors, and compare the treatment effects with that of the Propensity Score Matching (PSM) technique which adopts a quasi-experimental study design. To ensure comparability, the covariates are kept identical in all cases. An important finding that emerges from our analysis is that the treatment effects derived from our econometric models of interest are better than that obtained from an experimental study design as the latter does not account for all the relevant unobservable factors. In particular, the results show that estimating the treatment effect of telecare in the way that an experimental study design entails fails to account for the systematic variations in individuals' health production functions within each experimental arm.

Suggested Citation

  • Momanyi, Kevin, 2025. "An Econometric Analysis of the Impact of Telecare on the Length of Stay in Hospital," EconStor Preprints 168559, ZBW - Leibniz Information Centre for Economics, revised 2025.
    • Handle: RePEc:zbw:esprep:168559
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    File URL: https://www.econstor.eu/bitstream/10419/319685/1/K-Momanyi-Manuscript.pdf
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    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Thesis Thursday: Kevin Momanyi
      by Chris Sampson in The Academic Health Economists' Blog on 2019-05-16 06:00:19

    More about this item

    Keywords

    Demand for telecare; econometric models; health production;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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