Aryssa Aqilah Binti Hamizul, <br/><br/>
Comparison analysis of pre-post pandemic on macroeconomic :  a focus on poverty in Malaysia / 
Aryssa Aqilah Binti Hamizul 
 - xi, 111 pages :  illustrations ;  1 CD-ROM 
<br/><br/> Centre for Mathematical Sciences 
<br/><br/>Bachelor of Applied Science in Data Analytics with Honours -- Universiti Malaysia Pahang – 2023 
<br/><br/>Includes bibliographical references 
<br/><br/> When the World Health Organization (WHO) announced the outbreak of the Novel  Coronavirus disease (Covid-19) as a pandemic in 2020, it linked both the spread of the  disease and economic implications. The pandemic has resulted in numerous health issues  and deaths, as well as numerous severe economic devastations worldwide, including  global poverty. Unfortunately, the public's understanding of poverty has not kept up with  changes in poverty, and their low-level poverty concerns demonstrate that they are  unaware that poverty has become the primary cause of the economic downturn. If the  public continues to ignore this issue, our economy will undoubtedly suffer as the poverty  rate rises, which can destabilise an entire country. Thus, this study aims to improve the  understanding of the impact of the Covid-19 pandemic on poverty in Malaysia by  conducting several analysis. Additionally, the study will utilize macroeconomic  indicators such as GDP growth, GDP per capita, the unemployment rate, and inflation to  analyze the poverty trends. Exploratory Data Analysis (EDA) will be used to analyze the  issue of poverty before and after the pandemic using visualization dashboards.  Regression analysis, including multiple linear regression, Ridge regression, and Lasso  regression, will be employed to identify the macroeconomic indicators that significantly  affect poverty in Malaysia. Moreover, time series models, including Autoregressive  Integrated Moving Average (ARIMA) and Vector Autoregressive (VAR), will be used  to predict poverty in Malaysia. The analysis revealed fluctuations and significant  increases in absolute poverty during certain periods. Absolute poverty has increased  between 2016 and 2020, which can be related to the beginning of the Covid-19 pandemic  in 2020. Furthermore, the analysis highlights the unemployment rate as the most  significant factor influencing poverty levels in Malaysia. This study will also forecast the  absolute poverty in Malaysia for the next five years. The forecasted values of absolute  poverty using the ARIMA model suggest a relatively stable trend with minor fluctuations.  However, it is concerning to note that the forecasted values show an increasing trend in  absolute poverty rates, particularly in 2025 and 2026. Based on these findings,  recommendations are provided to address the poverty rate and mitigate its impacts,  including strengthening social safety nets, enhancing education, and prioritizing the  creation of employment opportunities. The study's findings will be of great importance  to economists and policymakers in understanding the pandemic's impact on Malaysia's  poverty and in formulating strategies to improve the economy and reduce poverty in the  country. 
<br/><br/><label>ISBN: </label>THE0010018 (Local) 
<br/><br/><label>Subjects--Corporate Names: </label><br/>Centre for Mathematical Sciences--Dissertations
<br/><br/><label>Subjects--Topical Terms: </label><br/>Universities and colleges--Dissertations<br/>Final Year Project--Dissertations