Analyzing Economic Impact of U.S Trade Policies and Regulations on Business Growth using Multivariate Regression Models

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@article{1706517,
      author = {Tawakalit Ibiyeye, Abdullahi Ibiyeye},
      title = {Analyzing Economic Impact of U.S Trade Policies and Regulations on Business Growth using Multivariate Regression Models},
      journal = {Iconic Research And Engineering Journals},
      year = {2024},
      volume = {8},
      number = {5},
      pages = {276-286},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1706517.pdf},
      abstract = {This research assesses the effect of new policies in trade relations between US and the rest of the world and business environment utilizing an endogenous multiple regression framework. Concerning the aspects of trade, for instance, tariffs, trade liberalization, and export quotas, the model evaluates the impacts that these variables tend to have on selected growth indices ? revenue, employment, markets, and many others ? within different industries. Only factual data was used from unpublished BEA data, US census bureau data and FRED data that provides data over several years to capture trend data. Findings suggest that targeted tariffs by sectors and USMCA policy affect the business environment separately and are quantifiable. The work contributes to understanding the effects of these policies on economic development and disseminates practical recommendations for policymakers and businessmen who want to maximize growth in the context of shifting trade rules.},
      keywords = {U.S. trade policy, business growth, multivariate regression, tariffs, USMCA, economic impact, industry revenue, employment},
      month = {November},
  }