The effect of microinsurance on the financial resilience of low-income households in Ghana: evidence from a propensity score matching analysis

Oppong, Emmanuel Owusu; Yu, Baorong; Mazonga Mfoutou, Bruvine Orchidée

doi:10.1057/s41288-024-00325-0

Cited by 2 publications

(2 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Difference-in-Differences (DID) provides a valuable quasi-experimental approach for estimating the Average Treatment Effect on the Treated (ATET) (Oppong, 2022). This is achieved by comparing changes over time in outcomes such as ROA, ROE, and profit, between the control group (non-adopters) and treatment group (adopters) (Angrist & Pischke, 2010;Oppong et al, 2024b), effectively controlling for any unobservable time and group characteristics that may impact the treatment effect on the outcome (Bertrand et al, 2004).…”

Section: Difference In Difference Estimationmentioning

confidence: 99%

See 1 more Smart Citation

Assessing Depth of Social Media Presence on Financial Performance of SMEs: Evidence from Syrian SMEs. A Panel Fixed Effect Analysis

Daood,

Wang,

Oppong

2024

AJIBM

Self Cite

View full text Add to dashboard Cite

This study examines the impact of social media adoption on the financial performance of small and medium-sized enterprises (SMEs) in Syria. Using data from 2010 to 2022 covering 40 registered SMEs under the Ministry of Trade, we employ a Panel Fixed Effect model to analyse the relationship between depth of social media usage and firm financial performance metrics such as profit growth, return on equity growth, and return on assets growth. Additionally, we utilise robust models, including the panel error correction model, panel dynamic least square regression, method of moment quantile, and difference-in-difference estimation, to ensure the reliability of our estimates. The findings of this study contribute to the growing literature on the impact of social media on SMEs in emerging markets, particularly in the context of Syria.

show abstract

Section: Difference In Difference Estimationmentioning

confidence: 99%

“…Next, following the work of (Oppong, Yu, and Mazonga Mfoutou, 2024b), we estimated the Average Treatment Untreated (ATU) effect for our three profitability proxies. We find that the effect of social media adoption on the untreated groups is less compared to the treated groups.…”

Section: Average Treatment Effect Analysismentioning

confidence: 99%