2021FigshareOpen access

Evaluating public health spending in the Philippines using an autoregressive distributed lag (ARDL) approach

Jaycar Espinosa

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Abstract

This study aims to identify the determinants of the Philippine public health expenditure to understand and help the country's policymakers address issues concerning the country's rising yet small share of public health spending. Using time-series data from 1961 to 2019, this study employed the Autoregressive Distributed Lag (ARDL) approach to analyze the long- and short-run relationships between the Philippine national government’s health spending and select economic and health factors.

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What this paper is about

This study aims to identify the determinants of the Philippine public health expenditure to understand and help the country's policymakers address issues concerning the country's rising yet small share of public health spending. Using time-series data from 1961 to 2019, this study employed the Autoregressive Distributed Lag (ARDL) approach to analyze the long- and short-run relationships between the Philippine national government’s health spending and select economic and health factors.

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Available abstract

This study aims to identify the determinants of the Philippine public health expenditure to understand and help the country's policymakers address issues concerning the country's rising yet small share of public health spending. Using time-series data from 1961 to 2019, this study employed the Autoregressive Distributed Lag (ARDL) approach to analyze the long- and short-run relationships between the Philippine national government’s health spending and select economic and health factors.

Key concepts: Distributed lag, Autoregressive model, Lag, Econometrics, Public spending, SETAR, Economics, Computer science

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Evaluating public health spending in the Philippines using an autoregressive distributed lag (ARDL) approach — Research Paper | ScholarLens