Run a regression poverty line being the dependent variable (attach a copy of your computer output); present it as it is done conventionally including the supporting information such as statistics, R-square and the number of observations as done in lecture and the textbook.

Run a regression poverty line being the dependent variable (attach a copy of your computer output); present it as it is done conventionally including the supporting information such as statistics, R-square and the number of observations as done in lecture and the textbook.
May 30, 2020 Comments Off on Run a regression poverty line being the dependent variable (attach a copy of your computer output); present it as it is done conventionally including the supporting information such as statistics, R-square and the number of observations as done in lecture and the textbook. Uncategorized Assignment-help
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This assignment mimics a research paper that will be useful for an economic-policy decision. It helps develop your skills in collecting data, running regression, presenting your results in a conventional form (documenting your results), interpreting your results and making recommendations.Please attach the file only relevant to the particular question (not including answers/files relevant to other questions for accurate grading).1. For a U.S. state find time-series (historic) data for the most recent 35 years on poverty rate, state transfer-payment spending per capita (in thousands) and state unemployment rate . Present data in a table and attach it to this answer (you can do so by clicking first on the chevron on the top right corner and then the paper clip–looking for data and finding it is part of the challenge.**You need to provide bibliographic references for your data (where it cam from and for what years).2.State expectations and set up hypothesis for the coefficient of each independent variable. Explain your answer. 3.Run a regression poverty line being the dependent variable (attach a copy of your computer output); present it as it is done conventionally including the supporting information such as statistics, R-square and the number of observations as done in lecture and the textbook.4.Interpret your results on their compliance with expectations, tests of robustness and the parameter statistics. Speculate on the unexpected results and make recommendations for improving the model and policy within the context of results and theory.