Research on Feedback Effects Between Perception of Internet Word of Mouth and Online Reviews Based on Dynamic Endogeneity

Li, Jinhai; Ma, Yunlei; Zhu, Huisheng; He, Yulin

doi:10.1007/978-3-030-00018-9_58

Cited by 1 publication

(2 citation statements)

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“…Endogeneity presents a scenario where variables within a model exhibit correlations with the error term, ultimately leading to biased and inconsistent parameter estimates (Di Miceli da Silveira et al, 2010;Paxton et al, 2011;Yixiang, 2011). In contrast, feedback effects manifest when changes in one variable exert influence over changes in another variable, and vice versa, establishing a dynamic and interconnected relationship between these variables (Li et al, 2018;Lv et al, 2019;Paxton et al, 2011). In the context of textile imports and exports in Bangladesh, the challenges posed by endogeneity and feedback effects are notably pronounced due to the multifaceted nature of the industry and its intricate interactions with various economic factors.…”

Section: Endogeneity and Feedback Effectsmentioning

confidence: 99%

“…Researchers grappling with these challenges have employed diverse methodologies to mitigate the issues of endogeneity and feedback effects in similar economic contexts. One commonly employed approach involves instrumental variables (IV) techniques (Li et al, 2018). These methods entail the identification and utilization of variables that exhibit correlation with the endogenous variables of interest while remaining uncorrelated with the error term.…”

Section: Endogeneity and Feedback Effectsmentioning

confidence: 99%

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Ready-Made Garments Export Nexus in Bangladesh: An Econometric Exploration

Rahman

2024

IJMRE

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This scholarly investigation conducts a rigorous exploration of Bangladesh's textile sector spanning the years 2011 to 2022, centering its attention primarily on the development of an intricate econometric framework. The study unveils profound insights into the sector's growth trajectories, the intricate dynamics of global demand, the undulating fluctuations of interest rates, and other pivotal economic gauges. The core component of this research, the econometric model, adeptly prognosticates textile exports through the incorporation of multifarious variables, encompassing the count of garment establishments, the magnitude of the workforce, market penetration, worldwide demand patterns, currency exchange rates, and interest rate fluctuations. Notably, the model attains a lofty degree of explicative potency, with an R-squared coefficient approximating 0.756, thereby attesting to its remarkable capacity to elucidate variances in textile export values. These discoveries carry substantial consequences for policymakers and stakeholders within the industry, as they bestow upon them a potent instrument for judicious decision-making and strategic blueprinting within Bangladesh's textile domain. The model accentuates the paramount significance of global demand and market share, concurrently accentuating the latent repercussions posed by fluctuations in interest rates. This research provides valuable insights into promoting the industry's sustainable growth, diversification, and resilience in the face of economic challenges.

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