Evidence map›Paper›PMID 39934907›Full record

ArticleJournal of health, population, and nutrition2025

Determining factors affecting regional poverty levels in Türkiye: a comparison of ordered discrete choice models.

Şeyda Ünver, Ömer Alkan, Ali Kemal Çelik, Hayri Abar

Abstract readComparative Study
In one paragraph

Article in Journal of health, population, and nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Şeyda ÜnverDepartment of Econometrics, Faculty of Economics and Administrative Sciences, Ataturk University, 2nd Floor, Number: 227, Erzurum, Türkiye. seyda.unver@atauni.edu.tr.ORCID 0000-0002-2310-4545
Ömer AlkanDepartment of Econometrics, Faculty of Economics and Administrative Sciences, Ataturk University, 2nd Floor, Number: 222, Erzurum, Türkiye. oalkan@atauni.edu.tr.ORCID 0000-0002-3814-3539
Ali Kemal ÇelikDepartment of Quantitative Methods, Faculty of Economics and Administrative Sciences, Ardahan University, Ardahan, Türkiye.ORCID 0000-0002-2605-6526
Hayri AbarDepartment of Economics, Faculty of Business and Economics, Gaziantep University, 1st Floor, No: 132, Şehitkamil, Gaziantep, 27310, Türkiye.ORCID 0000-0002-2043-6747

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to determine the factors affecting the poverty rate among the households in question by region, the western, central, and eastern regions underwent research separately.

methodsThis study uses the ordered discrete choice models: the heteroskedastic ordered logistic regression, generalized ordered probit, and partial proportional odds models.

resultsBased on the findings of the data, statistically significant relationships between the variables; age, gender, levels of education, marital status, the number of equivalent individuals within the household, the existence of individuals under the age of 5 within the household, the presence of individuals over the age of 65 within the household, working status, the number of working individuals within the household, financial difficulty, the presence of income generated through real estate (rent) or securities, residential homeownership, chronic diseases, and the year of data collection were spotted.

conclusionsPoverty is a multidimensional concept that can emerge due to several economic and social factors. Therefore, the policies that can be developed to reduce poverty can vary. To solve the problem of poverty, countries identify the factors that cause poverty and develop policies accordingly. Factors influencing household poverty levels across regions in Türkiye were identified, and several policy recommendations aimed to alleviate poverty were offered, considering the results achieved in this study. Given the results, Non-Governmental Organizations (NGOs) must implement practical projects that provide in-kind and cash assistance to those in need, offer employment opportunities, and improve the productivity of the impoverished. Continuous aid to the poor without expecting anything in return encourages them to be lazy, which may have a negative effect by increasing their dependency on getting help. In our country, an institutional monitoring mechanism should be established to measure the effectiveness of the in-kind and cash aids provided by central government institutions, local governments, and various non-governmental organizations in the fight against poverty.

Indexed as

PovertyAdolescentAdultAgedFamily CharacteristicsFemaleHumansIncomeLogistic ModelsMaleMiddle AgedSocioeconomic FactorsYoung AdultCategorical data analysisHouseholdOrdered modelsPovertyTürkiye

Identifiers

PMID39934907
PMCPMC11817306

What OpenQuestion holds

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Registered trials

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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.