“homeless.dta”based on the 1990 U.S. Census

    The sudden growth of homelessness in the 1980s is often attributed by social

    Subject: Economics

    Instructions on Research Paper
    Research Question
    The sudden growth of homelessness in the 1980s is often attributed by social
    science researchers to the release of many individuals from mental hospitals during that
    period. Other factors, such as the harsh weather in the winter time and the change in
    prison population may be at play in the meanwhile.
    Housing economists, however, are aware that housing market conditions and
    economic circumstances are also significant contributors to this problem. In your research
    paper, you are asked to argue from the standpoint of housing economists that these
    missing factors in the traditional social science studies are influential for the surge of
    homelessness rate.
    Dataset Description
    The dataset to be used in your research paper is available on Blackboard, named
    as “homeless.dta”. It covers 273 urban areas and is based on the 1990 U.S. Census. The
    variables contained in this dataset are defined below:
    HMLSS Natural log of the homelessness rate 1990
    VAC Natural log of the rental vacancy rate 1990
    GROSSR Natural log of the median gross rent 1990
    MDHHINC Natural log of the median household income 1990
    RNTINCRT Natural log of the rent/income ratio 1990
    UNEMPLOY Natural log of the unemployment rate 1990
    MHOSP The change in mental hospital population per 100,000 people
    1981-1992
    PRISON The change in prison population per 100,000 people 1981-1992
    JANTEMP Natural log of the average January temperature
    SSIPOP Natural log of the city’s supplemental security income recipients
    POP Natural log of the city’s total population
    Paper Guideline
    Your research paper, no less than 5-page long, is supposed to follow these steps:
    1. An introduction to the question to be addressed: You are suggested to perform
    some Internet google search to acquire the background information on the
    situation of homelessness rate in the 1980’s.
    2. Using the dataset, run a brief OLS regression of the homelessness rate on the noneconomic
    variables to support the findings by social science researchers.
    3. From the viewpoint of housing economists, propose a conjecture regarding the
    relationship between homelessness rate and three or more economic variables
    available in the dataset. Explain your conjecture based on the economic theories
    you have learned.
    Econ 382 Prof. Zhao
    2
    4. Present the descriptive statistics of those variables in your conjecture. Use scatter
    diagram to indicate the direction of the possible relationship between homeless
    rate and these variables.
    5. Propose a linear population model where the economic variables in Step 3 are
    added into the model in Step 2. Explain carefully the parameters involved.
    6. Report the OLS estimation results of your new model.
    7. Conduct hypothesis tests on the individual and joint significance of those newlyadded
    economic variables.
    8. Investigate the possible problems of your OLS estimator for the model in Step 5.
    You may want to consider the problems due to endogeneity or heteroskedasticity.
    Propose possible approaches to address these issues.
    9. Discuss the policy implications of your results.
    A writing sample on a different topic by a student during the spring 2005 is
    available on Blackboard. See section 4.6 of Wooldridge regarding the appropriate form
    for presenting your econometric results. STATA is the program recommended for your
    regression analysis

    ORDER THIS ESSAY HERE NOW AND GET A DISCOUNT !!!

    Place an order today and get 13% Discount (Code GAC13)

                                                                                                                                      Order Now