Modeling Economic Returns with the Skew-t Distribution
Aurora Monter-Pozos & Elizabeth González-Estrada (2023). Modeling economic returns with the skew-t distribution. Journal of Econometrics and Statistics. 3(1), 1-16. https://doi.org/10.47509/JES.2023.v03i01.01
Announcement Effects of Capital Increases during the 2008 Global Financial Crisis
Rui Gong & Jinwei Liu (2023). Announcement Effects of Capital Increases during the 2008 Global Financial Crisis. Journal of Econometrics and Statistics. 3(1), 17-36. https://doi.org/10.47509/JES.2023.v03i01.02
The Odd-log-Logistic-Chen distribution: a bimodal distribution with applications
Lucas David Riberiro-Reis (2023). The odd-log-logistic-Chen distribution: a bimodal distribution with applications. Journal of Econometrics and Statistics. 3(1), 37-53. https://doi.org/10.47509/JES.2023.v03i01.03
The Unit Inverse Weibull Distribution and its Associated Regression Model
Lucas David Riberiro-Reis (2023). The Unit Inverse Weibull Distribution and its Associated Regression Model. Journal of Econometrics and Statistics. 3(1), 55-68. https://doi.org/10.47509/JES.2023.v03i01.04
Balanced growth modelling of the link between COVID-19 cases, hospital admissions and deaths: Evidence from regions and age groups in England
Analysing the mass of time series data accumulating from the COVID-19 coronavirus pandemic has become increasingly important as the pandemic has progressed through its numerous phases. This paper investigates the changing dynamic relationship between infections, hospital admissions and deaths using daily data from regions and age groups from England using balanced growth models. It is found that there has been a substantial decrease over time in the number of deaths and hospital admissions associated with an increase in infections as clinical practice has improved, and the vaccination program rolled out. These responses may be tracked and monitored through time to ascertain whether such improvements have been maintained.
Terence C. Mills (2023). Balanced growth modelling of the link between COVID-19 cases, hospital admissions and deaths: Evidence from regions and age groups in England. Journal of Econometrics and Statistics. 3(1), 69-90. https://doi.org/10.47509/JES.2023.v03i01.05
A Comprehensive Study of Model Comparisons in Panel Data with Non-Linearity Between Outcome and Explanatory Variables
The objective of this paper is to provide insights on some widely used Panel Data Econometric Models to determine the best one. With this aim, data of Organized Manufacturing Sector from the Annual Survey of Industries has been used. Pooled OLS, First-Difference, Time-Demeaning and Random Effects models have been estimated using a sample of 26 states, over an 18-year period (2000-2017), where Input Variables are in a non-linear relationship with Total Output. The findings of the study recommend that in a panel setting the most robust model is the Time-Demeaning Fixed Effects model.
Keywords: Annual Survey of Industries; Fixed Effects; Panel Data; Pooled OLS; R; Random Effects
Meghna Athwani & Rajeev Pandey (2023). A Comprehensive Study of Model Comparisons in Panel Data with Non-Linearity between Outcome and Explanatory Variables. Journal of Econometrics and Statistics. 3(1), 91-105. https://doi.org/10.47509/JES.2023.v03i01.06
Modified Upside Down Bathtub-Shaped Hazard Function Distribution: Properties and Applications
Arun Kumar Chaudhary, Lal Babu Sah Telee & Vijay Kumar (2023). Modified Upside Down Bathtub-Shaped Hazard Function Distribution: Properties and Applications. Journal of Econometrics and Statistics. 3(1), 107-120. https://doi.org/10.47509/JES.2023.v03i01.07