On the effect of full-fledged IT adoption on stock returns and their conditional volatility: Evidence from propensity score matching

Dridi, Ichrak; Boughrara, Adel

doi:10.1016/j.qref.2021.02.007

Cited by 8 publications

(3 citation statements)

References 75 publications

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“…In this study, the beta coefficients of D_SSS are negative with MPS, DPS, and ROA, indicating a negative impact of the contribution-based social-security scheme on corporate performance. This finding can generally be explained through inflation target logic on adverse market performance (Dridi & Boughrara, 2021). However, the proxy variables of market performance are significant with MPS and ROA, yet even for ROA without considering the control variables it is not significant.…”

Section: Generalized Least Squares (Gls)mentioning

confidence: 87%

Social security, psychological threat, and corporate performance: An analysis of financial performance after enactment of a social security scheme in Nepal

Oli

Dhakal

Xie

2023

5008

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The main objective of this study was to analyze the impact of the contribution-based social security scheme on corporate performance after the enactment of the new policy in 2018. Panel data from 2015 to 2021 with observations of 266 companies, including 38 corporations from the banking and non-banking sectors, was used to analyze the impact of the new policy on corporate performance. This impact, as well as the role of psychological fear, was examined using the difference-in-differences analysis method. The findings of the analysis revealed an adverse impact on corporate performance in the banking sector compared to the non-banking sector. The study also showed that the banking sector's psychological fear was greater than that of the non-banking sector after the implementation of the policy. The conclusions of this study are helpful in understanding the corporations’ performance gap before and after the policy, as well as in making a strategic plan to overcome the psychological fear of the employees. This study suggests that the social security fund should use a mass media orientation program to explain the benefits and scope of the new policy.

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Section: Generalized Least Squares (Gls)mentioning

confidence: 87%

Social security, psychological threat, and corporate performance: An analysis of financial performance after enactment of a social security scheme in Nepal

Oli

Dhakal

Xie

2023

5008

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“…It should be noted that propensity score matching (PSM) can be applied to estimate the impact of flush toilet use on health and non‐health expenditures. However, because it is non‐parametric, PSM cannot capture how the selected control variables affect health and non‐health expenditures, making the modelling less informative (Chung et al, 2022; Dridi & Boughrara, 2021; Ma et al, 2022a). In addition, PSM does not address selection bias engendered by unobserved factors (e.g., rural residents' motivations for building flush toilets).…”

Section: Methodsmentioning

confidence: 99%

Flush toilet use and its impact on health and non‐health expenditures

Li,

Vatsa,

2024

J of Intl Development

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This study analysed the effects of flush toilet use on health and non‐health expenditures incurred by rural Chinese. The instrumental‐variable‐based Tobit and endogenous treatment regression models were used to analyse the 2016 China Labour Force Dynamics Survey data while addressing the selection bias inherent in flush toilet use. The results showed that by improving rural residents' physical and mental health, flush toilet use reduced per capita health expenditure while increasing non‐health expenditure. Furthermore, using flush toilets had positive spillover effects, reducing the health expenditures of even those who did not use them. Factors affecting flush toilet use were also analysed.

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“…In addition to the importance of propensity score estimates for the average treatments of the treated (ATT) estimation result quality, the matching criteria are considered to also be influential. We use different matching techniques (Dridi & Boughrara, 2021) to ensure the robustness of our results. Six matching techniques are utilized to assess the effects of migration status on loan default, namely, nearest neighbor matching, kernel matching, radius matching, local linear regression matching, spline matching, and mahal matching.…”

Section: Heckman Selection Modelmentioning

confidence: 99%

Migrants and default: Evidence from China

2021

Int Rev Finance

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Reform and opening up have stimulated internal migration; at the same time, home bias and regional discrimination have become pressing problems in China, even though the internet has reduced distance‐related informational frictions. Evidence from an emerging peer‐to‐peer lending platform shows that migration statuses can reveal additional information about borrowers' credit risk. Ceteris paribus, migrants, interprovincial migrants, upward‐moving migrants, and long‐distance migrants are less likely to default; this is especially true for migrants with stronger educational backgrounds and work experience. Further analyses show that migrants tend to have higher credit quality, lower financing costs, and better economic attributes and assimilate themselves to a higher trusted culture, allowing them to default less than nonmigrants. This means that lenders and trading platforms may rely on the informative content of migration to adjust their lending policies in a fashion that attracts more participation from creditworthy migrants.

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On the effect of full-fledged IT adoption on stock returns and their conditional volatility: Evidence from propensity score matching

Cited by 8 publications

References 75 publications

Social security, psychological threat, and corporate performance: An analysis of financial performance after enactment of a social security scheme in Nepal

Social security, psychological threat, and corporate performance: An analysis of financial performance after enactment of a social security scheme in Nepal

Flush toilet use and its impact on health and non‐health expenditures

Migrants and default: Evidence from China

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