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Data about 5,634 married women (out of which 3,286 are reported being in the labor force) is taken from the Wooldridge Current Population Survey (CPS91) Database for Wage/Income analysis. There are 24 variables that give information about married women, their husbands, their demographics, if they belong to any unions, or are a part of labor forces, whether they have kids, etc. This data is used to get an estimate of the standard wages equation of women using the Ordinary Least Square (OLS) method a.k.a. Linear Regression. The education level, years of experience, race, ethnicity are the independent variables (predictors) that drive the behavior of the dependent variable - income.

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python jupyter-notebook ordinary-least-squares linear-regression wooldridge-database cps91 applied-machine-learning econometric-analysis

wooldridge-cps91-econometric-analysis's Introduction

Hey there ๐Ÿ‘‹

My name is Heta Shah. Welcome to my profile!

I am a recent Graduate from the University of Texas at Dallas. I completed my Masters in Management Information Systems, with a major in Information Technology and Management from Naveen Jindal School of Management. Needless to say, I'm a #faceOfJSOM! I am originally from Mumbai, India and am currently based out of California, USA. I completed my Bachelors in Information Technology, and a technical Diploma in Computer Science from the University of Mumbai, India. Over this time, I have served many positions of responsibilities like Business Analyst Intern at TIBCO Software Inc., Volunteer at ChangingThePresent.org, Data Science Intern at Predactica, Business Associate Intern at Fabstudio, Joint Technical Secretary for RGIT - Students' Council, Editorial Secretary for RGIT - ABIT, and many more. Starting my educational journey in technical fields, I have gradually expanded my horizon to Business and Management. I believe in life-long learning and often find myself trying out a hand at different tools and technologies. I love making new connections and believe in meaningful interactions within and outside my work environment. Looking forward to connecting with you :)

Here are some highlights about me:

  • ๐Ÿ”ญ Currently working on building a career in the fields of Analytics, Data Science with Machine Learning and Business Intelligence.
  • ๐ŸŒฑ Continuously learning Python and SQL coding (PostgreSQL, MySQL) Analysis using MS Excel and Machine Learning algorithms, and visualiation using Tableau and MS Power BI.
  • ๐Ÿ’ฌ Ask me about:
    • my professional journey so far,
    • the books I read,
    • the places I've traveled to,
    • Indian culture and how to cook vegetarian meals,
    • how I love volunteering and giving back to the community,
    • and how I love dancing!
  • ๐Ÿ“ซ How to reach me: (so we can collaborate on cool projects together!):
  • ๐Ÿ˜„ Pronouns: She, Her, Hers
  • โšก Fun fact: I can say "How are you?" in 7 different languages! (English, French, Hindi, Telugu, Tamil, Gujarati, Marathi) :D

PS: This profile is under construction. Any constructive feedback is appreciated!

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