Forthcoming and Online First Articles

International Journal of Computational Economics and Econometrics

International Journal of Computational Economics and Econometrics (IJCEE)

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International Journal of Computational Economics and Econometrics (6 papers in press)

Regular Issues

  • A bibliometric survey of macroeconomic topics in agent-based models   Order a copy of this article
    by Emiliano Alvarez 
    Abstract: In recent decades, the analysis of economies and their different sectors has intensified through simulations based on agent-based models (ABM). This is especially relevant for macroeconomics, since these methodologies allow us to analyse macroeconomic phenomena from actions and the interaction between individuals. In this article, a bibliometric analysis of ABMs in macroeconomics is briefly shown from the information gathered in the databases of the Web of Science (WOS) and Scopus. The main results of this work show that ABMs have analysed a wide spectrum of the most relevant topics in macroeconomics. There is a greater emphasis on credit crisis and financial instability, explained by the possibilities of this type of implementation to simulate network effects. These works are concentrated in a few research centers, mainly in Europe. In recent years, the agenda of topics to be addressed has grown, as well as the possibilities of a multidisciplinary agenda.
    Keywords: agent-based model; ABM; economics; macroeconomics; bibliometric analysis; complex system.

  • Determinants of government bond returns: an Indian experience   Order a copy of this article
    by Muhammadriyaj Faniband, Pravin Jadhav 
    Abstract: This paper examines the impact of macroeconomic factors and non-macroeconomic factors on government bond returns in India using quantile regression methodology and the monthly dataset from April 2010 to May 2022. This paper produces a new dataset of three government bonds indices which include the top 20 and top 5 bonds and Treasury Bills (T-Bill). We are the first to document the following results. First, the top 20 and top 5 traded bonds have less sensitivity to the exchange rates. Second, inflation has a negligible impact on the top 20 and T-Bills. Third, all three bonds are significantly affected by interest rates. Fourth, the effect of geopolitical risk is significant on T-Bills. Firth, economic policy uncertainty and volatility do not affect bond returns. Sixth, the Nifty has a significant positive impact on the top 20 and top 5 bonds. Our results are useful for investors, portfolio managers and policymakers.
    Keywords: macroeconomic; non-macroeconomic; government bond; bond returns; quantile regression; India.

Special Issue on: Health Economics and Econometrics

  • Technical efficiency in Irish public hospitals: a multi-output distance function SFA approach   Order a copy of this article
    by Niall Devitt, Marta Zieba, Declan Dineen 
    Abstract: This paper estimates output-oriented technical efficiency (TE) for 37 acute public hospitals in Ireland using monthly panel data for the years 2017-2018. To allow an accurate estimation of multi-output production technology, we utilise a trans-logarithmic output distance function (ODF) and apply the true random-effects (TRE) stochastic frontier model which accounts for both transient and persistent inefficiency. The findings indicate that Irish hospitals operate with an average short-run efficiency score of 0.93-0.94, whereas the persistent efficiency is 0.90. Furthermore, all input elasticities are positive but the returns to scale are decreasing. Inpatient discharges account for the highest output elasticity and the highest marginal rate of transformation. While the hospital model-type increases the level of output in hospitals, the share of emergency patients negatively affects the hospitals production. Moreover, the length of stay is an important contributor to hospitals inefficiency and medium-sized hospitals with 200 to 400 beds are the most efficient hospital units.
    Keywords: hospitals; technical efficiency; TE; output distance function; ODF; true random-effects; TRE; SFA; efficiency determinants; Ireland.
    DOI: 10.1504/IJCEE.2022.10051477
  • Might low-protein diet for chronic kidney disease patients be successful A case study with the application of a random effects ordered probit model.   Order a copy of this article
    by Lara Gitto, Valeria Cernaro, Guido Gembillo, Alfredo Laudani, Daniela Metro, Domenico Santoro 
    Abstract: A low-protein diet (LPD) in chronic kidney disease (CKD) patients delays the natural progression towards end-stage renal disease. The identification of the factors that guarantee patients adherence to the diet may help physicians to provide a better assistance as well as improving patients quality of life. Fifty-one patients following a LPD were asked to assess their satisfaction with the diet, difficulties in complying with the nutritional regime and if they felt their health had improved. A random effect ordered probit model, whose dependent variable is patients perceived health states (better, unchanged, worse) following the diet was estimated. After six months, 49% of patients stated that their conditions improved. Age, gender and number of comorbidities had an impact on the probability to report worse health conditions. The results emphasise the importance of an appropriate nutritional regime for CKD patients and signal the need to design support programs to promote adherence.
    Keywords: chronic kidney disease; CKD; low-protein diet; LPD; random effects ordered probit model; promoting adherence.
    DOI: 10.1504/IJCEE.2023.10056058
  • The role of home healthcare in reducing hospital readmissions and costs in patients with acute myocardial infarction   Order a copy of this article
    by Irina Mozhaeva, Juris Barzdins 
    Abstract: The aim of this study is to examine the causal effects of post-discharge home healthcare services on hospital readmissions and public inpatient expenditure in the older myocardial infarction patient cohort. We employ individual-level administrative healthcare data and apply the dynamic difference-in-differences approach to estimate the contemporaneous and post-intervention causal effects of homecare. The results suggest that post-acute home healthcare provided to myocardial infarction survivors has a strong prolonged negative (i.e., favourable) effect on the probability of hospital readmissions and related costs. The patterns of the post-intervention effect point to considerable health improvements in patients referred to domiciliary care compared to their counterparts discharged with self-care. The indicated benefits of home healthcare provide grounds for reconsidering current eligibility criteria of this public program and expanding its coverage in the myocardial infarction patient cohort.
    Keywords: home healthcare; acute myocardial infarction; readmissions; public inpatient expenditure; average treatment effect; ATE.
    DOI: 10.1504/IJCEE.2024.10061909
  • Is the European refugee crisis a potential threat to public health? Evidence from Italy   Order a copy of this article
    by Jayanta Bhattacharya, Giorgia Marini 
    Abstract: We examine the impact of both disembarkations (the raw number of disembarked people) and integrated refugees (the number of disembarked people identified as asylum seekers and integrated in the country) on a broad set of infectious diseases and healthcare expenditure, respectively on a panel of 23 (1998-2020) and 14 years (2005-2018) for 20 Italian regions. We find a statistically significant and clinically meaningful correlation between refugee influx (measured as the number of disembarked people) and some diseases. These results pose some important questions on screening and prevention, costs associated with them and changes to the local epidemiology. Moreover, as regions with higher refugee influx experienced higher healthcare expenditure in the year the refugee influx occurred, a sustained refugee influx may have an impact on healthcare costs, which may raise a problem of sustainability of the national healthcare system.
    Keywords: refugees; infectious diseases; healthcare expenditure; public health; Italy.
    DOI: 10.1504/IJCEE.2024.10061910