An Analysis on the Unemployment Rate in the Philippines: A Time Series Data Approach

Urrutia, Jackie D.; Tampis, Razzcelle L.; Atienza, JB E

doi:10.1088/1742-6596/820/1/012008

Cited by 6 publications

(8 citation statements)

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“…This result indicates the ability of the population variable in predicting the occurrence of unemployment in our research framework. Hence, the outcomes obtained by Aqil et al (2001) and Urrutia et al (2017) in their discussion of causality impact of population on unemployment by using similar analysis are consistent in the case of Malaysia. On top of that, the results reveal that LPOP share unidirectional relationship with LUNEMP.…”

Section: Causality Testsupporting

confidence: 72%

“…While GDP and inflation are found to be insignificant to influence unemployment, it is revealed that FDI and population spill negative effect on unemployment. Urrutia et al (2017) employed similar approach done by Aurangzeb and Asif (2013) in conducting a time series analysis from 1988 to 2004 to assess the presence of causal relationship among six macroeconomic elements including population and unemployment in the Philippines. Their findings indicate the significance of population in affecting unemployment in both short run and long run in a way that the former Granger causes the latter.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Flaim (1990) explained the growing population Journal of International Business, Economics andEntrepreneurship e-ISSN :2550-1429 Volume 4 (1) June 2019 in the United States during the 60s to 80s as the stimulator of unemployment in the country. This has enticed the emergence of more empirical evidences in different countries such as China, India, Pakistan (Aurangzeb & Asif, 2013) and the Philippines (Urrutia, Tampis & Atienza, 2017). This study aims to provide further insight on causality relationship between economic growth, population and unemployment in Malaysia.…”

Section: Introductionmentioning

confidence: 98%

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2019

JIBE

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This paper intends to explore the causality effect between Growth Domestic Product (GDP), population and unemployment in Malaysia. Based on the observation of Malaysia's historical data, there is a distinct movement in each of these individual macroeconomics components over the years. Past literature within the same area has illustrated various patterns on the possibility of a causal relationship that each variable has on one another. Several stages of analysis are conducted to verify the presence of causality effect from Malaysian economic perspective, which includes unit root test that employs the Augmented Dickey Fuller (ADF), Phillips-Perron (PP) and Kwiatkowski-Phillips-Schmidt-Shin (KPSS) procedures, followed by Johansen and Juselius test of cointegration and Granger-causality test based on Vector Error Correction Model (VECM) using E-views software. Each procedure is conducted using Malaysia's time series data for each of the three elements from 1980 to 2013 obtained from Malaysia's Department of Statistics. Our findings revealed that there is one cointegration detected for the tested variables; whereas the results indicate that population can Granger cause unemployment in the short run. Furthermore, it is found that unemployment solely bears the effect from short run adjustment to bring about the long run equilibrium within the tested framework. This study is important for the policy maker to understand the reason behind the causality effect that could jeopardize the rate of unemployment in Malaysia. As the attention is given specifically to three variables particularly GDP, population and unemployment, this study is aimed at broadening the prospect for further investigation within the same area of macroeconomics.

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Section: Causality Testsupporting

confidence: 72%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

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Untitled

2019

JIBE

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“…The state continually stratifies programs on education for the citizenry with expectancy to resolve unemployment due to population growth, mismatch, and illiteracy thru TESDA, ALS, OBE, K-12, etc. and then, still on skepticism [16][17][18][19][20][21][22][23][24][25][26][27].…”

Section: Statement Of the Problemmentioning

confidence: 99%

Philippines Educational System and Employment Schemes: Authors’ Overview

2020

JECET

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The study precisely focused on the issues on sociological phenomenon relative to educational system and employment scheme of the Philippines. The main purpose of the researchers is to overview and evaluate on how it affects to the life of Filipinos. Sources of data were consolidated from literatures and previous studies of philosophers and researchers from their written reports of conferences, interviews, and observations. Applied qualitative research design to established records on how school interventions and interference contributes to the societal problems especially on unemployment and thematically analyzed the data to prove the validity of its records but rather this research not viewed any treatment nor any manipulations. Results overviewed information that enlightens political leader's perspective on issues and concerns regarding unemployment, which leads to proposed later studies "to ratiocinate job vacancies over graduates" in order to justify perhaps that there were inflation of graduates which resulted to unemployment.

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“…Whereas GDP harms the unemployment labor force, inflation has a positive influence on unemployment significantly. The study by J D Urrutia, R L Tampis, and JB E Atienza ( 2017 ) aimed to frame a mathematical model for estimating and forecasting the unemployment rate in the Philippines. The results imply that population and the labor force rate significantly affected the unemployment rate, GDP growth, population, and GNI had a granger-causal relationship with the unemployment rate.…”

Section: Introductionmentioning

confidence: 99%

Income inequality: a recipe for youth unemployment in Africa

Mwakalila

2022

SN Bus Econ

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Youth unemployment is a problem in Africa such that young people face almost double the unemployment rate as adults. With the booming population on the rise, youth unemployment can turn into a major catastrophe in the continent if not addressed. This study presents empirical evidence on how income inequality accelerates the problem. The study uses panel data from 42 African countries spanning 29 years from 1991 to 2020. The dependent variable is youth unemployment, and the independent variable is income inequality. The control variables are gross domestic product (GDP) per capita, population growth, political stability, foreign direct investment, gross capital formation, and political stability. The study employs the Generalized Method of Moment (GMM) model for estimations. The results imply that income inequality positively impacts African youth unemployment, which varies across different income levels. Therefore, measures must be formulated to combat income inequality, such as increasing productivity among small-scale farmers, robust social protection programs, minimum wages, and better access to financial services for young people on the continent.

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An Analysis on the Unemployment Rate in the Philippines: A Time Series Data Approach

Cited by 6 publications

References 0 publications

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Philippines Educational System and Employment Schemes: Authors’ Overview

Income inequality: a recipe for youth unemployment in Africa

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