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    Econometrics Midterm Submission - Group 8

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    Sneha Gunjan Soni
    This document outlines an econometrics project analyzing the impact of higher education on unemployment in India. The project will use regression analysis to examine relationships between unemployment rates, higher education enrollment numbers, GDP per capita, and number of universities in 28 Indian states. Data from 2018-19 will be obtained from official sources like RBI and AISHE to avoid impacts from COVID-19. The hypothesis is that higher enrollment in higher education will correlate with lower unemployment. Group members are assigned roles in deciding the research question, variables, and summarizing the topic's importance.

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    Econometrics Midterm Submission - Group 8

    Uploaded by

    Sneha Gunjan Soni
    14 views4 pages
    This document outlines an econometrics project analyzing the impact of higher education on unemployment in India. The project will use regression analysis to examine relationships between unemployment rates, higher education enrollment numbers, GDP per capita, and number of universities in 28 Indian states. Data from 2018-19 will be obtained from official sources like RBI and AISHE to avoid impacts from COVID-19. The hypothesis is that higher enrollment in higher education will correlate with lower unemployment. Group members are assigned roles in deciding the research question, variables, and summarizing the topic's importance.

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    Econometrics Midterm Submission_group 8

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    This document outlines an econometrics project analyzing the impact of higher education on unemployment in India. The project will use regression analysis to examine relationships between unemployment rates, higher education enrollment numbers, GDP per capita, and number of universities in 28 Indian states. Data from 2018-19 will be obtained from official sources like RBI and AISHE to avoid impacts from COVID-19. The hypothesis is that higher enrollment in higher education will correlate with lower unemployment. Group members are assigned roles in deciding the research question, variables, and summarizing the topic's importance.

    Copyright:

    © All Rights Reserved
    Download as PDF, TXT or read online from Scribd
    Download as pdf or txt
    14 views4 pages

    Econometrics Midterm Submission - Group 8

    Uploaded by

    Sneha Gunjan Soni
    This document outlines an econometrics project analyzing the impact of higher education on unemployment in India. The project will use regression analysis to examine relationships between unemployment rates, higher education enrollment numbers, GDP per capita, and number of universities in 28 Indian states. Data from 2018-19 will be obtained from official sources like RBI and AISHE to avoid impacts from COVID-19. The hypothesis is that higher enrollment in higher education will correlate with lower unemployment. Group members are assigned roles in deciding the research question, variables, and summarizing the topic's importance.

    Copyright:

    © All Rights Reserved
    Download as PDF, TXT or read online from Scribd
    Download as pdf or txt
    of 4

    Econometrics Project (ECO220)

    Mid-term Submission

    Group members:

    Name Enrollment Number

    Sneha Soni AU1910300

    Shrutika Patel AU1910554

    Aarya Bhagwat AU1910320

    Arjun Verma AU1920042


    The impact of higher education on unemployment

    Summary:

    This research paper deals with the impact of higher education on unemployment. For the
    comparison of the same we are going to take 28 observations of 28 states of India and perform
    regression analysis to analyse the data and answer the research question. We are taking into
    consideration the data of year 2018-19. Our motive is to check whether there is a significant
    impact of higher education on unemployment rate under normal circumstances and hence we
    focus on 2018-19 and not recent years as it may have a significant impact of Covid-19 on the
    same and would lead to misleading conclusions.

    Why is it important?

    In India, the unemployment has been prevailed since a long time. Though the unemployment
    has been reducing with the passing years but it still hasn’t totally eradicated. It is considered to
    be one of the major issues in Indian economy. By the analysis we want to derive on a conclusion
    whether higher education has a significant impact on unemployment or not.

    Research question:

    The research question for our analysis is whether there is an impact of enrolment numbers of
    higher education to the unemployment rate. For the same our hypothesis for the regression
    analysis is that higher the number of enrolments in higher education, lower would be the
    unemployment rate. We plan on to perform the analysis to find out whether the hypothesis can
    be accepted or rejected. In addition to this, other independent variables include the GDP per
    capita of the state and number of universities offering under-graduation in that particular state.

    Data sources:

    We have included 3 independent variables and 1 dependent variable to derive a conclusion on


    the research question. For performing the regression analysis, we have obtained data of
    different variables from different data sources. The data on the dependent variable
    Unemployment Rate has been obtained from the official website of Reserve Bank of India.
    That of GDP for states also has been obtained from the official website of the Reserve Bank of
    India. That of enrolment number in higher education has also been obtained from the official
    website of Reserve Bank of India. The data for the number of universities offering undergrad
    has been obtained from the official report of AISHE (All India Survey on Higher Education).
    Both the data sources are reliable and official sources for the same. As RBI and AISHE being
    the best reliable data source for the research, we are going to use these data sources to do the
    regression analysis. These sources have a very little probability of error and hence our research
    paper won’t come to a wrong conclusion.

    Variables:

    In this study we are using 3 independent variables to derive a conclusion on the dependent
    variable ‘Unemployment Rate”

    1. Unemployment Rate
    Unemployment rate is the dependent variable for the research. It constitutes the people who
    are looking for a job but not getting one. It is calculated by CMIE (Centre for Monitoring Indian
    Economy).

    2. Number of enrolments in undergrad


    Our main independent variable for the research is the number of enrolments in undergrad. We
    have chosen this variable as the number of enrolments in undergrad determine the people who
    are getting enrolled for a higher education. We believe that the number of students enrol for
    higher education have significant impact on the unemployment rate.

    3. State GDP per capita


    In addition to the main independent variable, we have chosen state GDP per capita as another
    independent variable because we assume that higher the GSDP (Gross State Domestic
    Product), lower will be the unemployment rate. The CSO calculates the GSDP in India.

    4. Number of universities offering higher education


    Our 3rd independent variable is the number of universities offering higher education. We
    believe that more the number of universities, less would be the unemployment rate. This data
    has been obtained by AISHE.
    Each group member’s contribution:

    1. Sneha Soni – Decided the research question and the topic for the research and defined
    the dependent and independent variables.
    2. Shrutika Patel – Found the reliable data sources for the variables.
    3. Aarya Bhagwat – Worked on writing the importance and summary of the topic.
    4. Arjun Verma – Worked on writing the research question.

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