ReviewMethodsX2023
Statistical modeling to analyze factors affecting the middle-income trap in Indonesia using panel data regression.
Review in MethodsX, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Analyzing the mahakam river water quality using the geographically weighted panel regression model.MethodsX · 2026Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Middle-Income Trap (MIT) refers to the situation in which a country's per capita income can reach middle-class levels but remains there for years, making it difficult to move up to a higher income level. Indonesia was declared trapped in MIT in 2014, and in 2019, it was added to the group of upper-middle-income (UM) countries. However, due to COVID-19, it returned to the lower-middle income (UM) group in 2020. Previous studies inspired to see the existence of provinces in MIT Indonesia, so an MIT analysis was carried out for each province. The analysis aims to determine the characteristics of MIT in Indonesia and the factors that influence it and obtain a panel data regression model formed from MIT modeling. Analysis using panel data regression method. The panel data regression model was obtained based on panel data, namely data consisting of a combination of cross-section and time series data. The data used is GRDP per capita for each province in 2010 - 2020 published by the Central Bureau of Statistics (BPS). GRDP per capita data is used as an approach to calculating the MIT index. The results of the study, obtained three variables that have a significant effect on MIT, namely Life Expectancy, Gross Participation Rate, and Gross Fixed Capital Increase with an accuracy model of 97.65 %.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.