Interpolating poverty statistics in the Philippines for non-FIES years using DFM

Autor:	Dannela Jann B. Galias, Roxanne Jean L. Elumbre, Manuel Leonard F. Albis, Jessa S. Lopez
Rok vydání:	2021
Předmět:	Economics and Econometrics Poverty Statistics Economics Statistics Probability and Uncertainty Management Information Systems Design for manufacturability
Zdroj:	Statistical Journal of the IAOS. 37:1155-1169
ISSN:	1875-9254 1874-7655
DOI:	10.3233/sji-210824
Popis:	The establishment of the Sustainable Development Goals in 2015 entails generating relevant and timely statistics for monitoring and policymaking. The Philippine Statistics Authority (PSA) generates poverty statistics using the Family Income and Expenditure Survey (FIES). However, due to certain limitations, the FIES collection and calculation of official poverty statistics is done only every three years. In this regard, this paper presents a method of filling in the gaps by interpolating annual poverty statistics, particularly the poverty incidence, using macroeconomic indicators and demographic and employment information from the Labor Force Survey (LFS). These explanatory variables were related to the poverty incidence using the Dynamic Factor Model (DFM) in the state-space form to produce estimates for years when poverty statistics are not available. Relatively high forecast accuracy was observed for the predicted values of poverty incidence.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2801bc2130dccee14634aa403f790dc1 https://doi.org/10.3233/sji-210824 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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