Testing policy effectiveness during COVID-19: An NK-DSGE analysis

Shah, Sayar Ahmad; Garg, Bhavesh

doi:10.1016/j.asieco.2022.101577

Cited by 11 publications

(3 citation statements)

References 80 publications

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“…Efficiency, a pivotal yet challenging aspect to quantify, revolves around the policy's cost-effectiveness. Common efficiency measures span economic growth (Shah and Garg, 2023), consumer well-being, and industry profits. The intricate challenge lies in delineating the tangible impact of these measures on the policy's efficiency.…”

Section: Evaluation Of Policy Effectivenessmentioning

confidence: 99%

A Kaleidoscope Model to address the Construction 4.0 policy changes in Malaysia

Chan,

Chai,

Lim

et al. 2024

J. Infras. Policy. Dev.

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The current era of Industry 4.0, driven by advanced technologies, holds immense potential for revolutionising various industries and fostering substantial economic growth. However, comprehending intricate processes of policy change poses difficulties, impeding necessary adaptations. Public apprehensions are growing about the inertia and efficacy of policy changes, given the influential role of policy environments in shaping development amidst resource constraints. To address these concerns, the study introduces the Kaleidoscope Model of policy change, serving as a roadmap for policymakers to enact effective changes. The study investigates the mediating impact of cultural change within the framework of the Kaleidoscope Model. The study delves into cultural influences by incorporating the Behavior Change Wheel (BCW) Theory. The methodology involves questionnaires survey, analysing using Structural Equation Modelling (SEM). The findings reveal that only the Policy Adoption and Policy Implementation components significantly affect the assessment of the effectiveness of the Construction 4.0 policy. Intriguingly, the final model demonstrates no discernible connection between the Kaleidoscope Model and the cultural influences. This study makes a noteworthy contribution to the realm of political science by furnishing a comprehensive framework and directives for the successful implementation of the Construction 4.0 policy.

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Section: Evaluation Of Policy Effectivenessmentioning

confidence: 99%

A Kaleidoscope Model to address the Construction 4.0 policy changes in Malaysia

Chan,

Chai,

Lim

et al. 2024

J. Infras. Policy. Dev.

View full text Add to dashboard Cite

show abstract

Section: A Model Demonstrating Impact Of Government Responsesmentioning

confidence: 99%

“…In line with (Liu, Dong, & Jiang, 2023), (Yadav & Rahman, 2017) and (Shah & Garg, 2023) I frame the following model which has been used for empirical calculation. The functional specifications of the same in case of confirmed deaths are used as the dependent variable is given by, where respective abbreviated codes stand for the interpretations of independent variables as mentioned in the variable description table - 6.…”

Section: A Model Demonstrating Impact Of Government Responsesmentioning

confidence: 99%

Assessing the Impact of Non-Pharmaceutical Interventions on COVID-19: A Combined CCE and Quantile Regression Approach

Mishra

2023

Preprint

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This paper tries to quantify the impact of government policy intervention on the death due to COVID-19 in India at national, regional and sub-national levels. The data used for this study are collected from the Oxford COVID-19 Government Response Tracker (OxCGRT), a longitudinal database of daily government response from Jan 28th, 2020, when the first COVID case was diagnosed in India till December 31st, 2022. Here,stringencymeasures, which gauge the severity of interventions such as lock-downs and travel restrictions, indicative of government control; andcontainmentmeasures, representing a spectrum of actions aimed at preventing or limiting virus transmission and theoverall government support, providing a holistic assessment of the government’s efforts in mitigating the virus’s spread. Using the Panel Corrected Standard Error (PCSE) method, this paper finds out that the stringency and overall government support interventions by the government have been successful in reducing the death counts by 25% and 23% respectively however the containment intervention alone has failed to reduce the death at all levels. Exploring regional variations, event study plots reveal nuanced temporal dynamics. The daily and 24-day lagged dependent variables, representing overall government response and stringency measures, reveal a consistent impact post-intervention at the all-India level. Both current and lagged variables show a reduction in COVID-19 deaths, with a more pronounced effect emerging after a four-day lag. Event-study plots with a 24-day lagged dependent variable confirm the anticipated negative impact of overall government response on deaths. However, the pattern diverges for stringency and overall government interventions compared to daily death counts.JEL ClassificationsI18, I38, C23, C54

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Modeling the impact of COVID-19 on the tourism sector in Mauritius: A dynamic stochastic general equilibrium analysis

Ramlall

2024

Annals of Tourism Research Empirical Insights

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Testing policy effectiveness during COVID-19: An NK-DSGE analysis

Cited by 11 publications

References 80 publications

A Kaleidoscope Model to address the Construction 4.0 policy changes in Malaysia

A Kaleidoscope Model to address the Construction 4.0 policy changes in Malaysia

Assessing the Impact of Non-Pharmaceutical Interventions on COVID-19: A Combined CCE and Quantile Regression Approach

Modeling the impact of COVID-19 on the tourism sector in Mauritius: A dynamic stochastic general equilibrium analysis

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