Research Project:1 This assignment is designed for students to demonstrate mastery of three skills: (1) connect economic theory with empirical analysis, (2) relate individual research to the economics literature, and (3) communicate research findings effectively through both oral and written mediums. Students will complete the project in multiple stages, receiving peer and instructor feedback throughout the semester. The final product will be a 5-8 page paper (excluding tables and references) and a presentation at the Stander Symposium. Details for each stage of the project are described below. 1 Students may not submit the same research paper that has been or will be submitted for a grade in any other course at the University, including but not limited to econometrics, forecasting, independent studies, or honors thesis research. Students may, however, use the same data source for projects in this and any other of these classes if cleared with the professor. Failure to generate a sufficiently new research paper in this course will be considered cheating. 2 Note: At each stage, unless otherwise specified, (i) submit an electronic copy prior to the start of class to Dropbox, (ii) bring 1 hard copy of the entire write-up to class, and (iii) bring 3 copies of all tables to class. 1. Research Proposal: (Due Tuesday, February 7th) The proposal should be typed and all sources should be properly cited. It should include the following: • 4-5 typed paragraphs that address the following questions: (a) What is your research question and why is it important or relevant? (b) What is your main dependent variable? (c) What specific hypotheses are you testing, and which key independent variables are you using to accomplish this? (d) What other variables are being used as control variables, and why are the needed? (e) How does your research project relate to at least one peer-reviewed study? • The specific data source(s) that you will use to conduct the study • Citations for at least four other relevant peer-reviewed journal articles. • Table A1, as shown in the example research packet, that includes a list of dependent & independent variables. 

I need a proposal and it’s due in 10 hours, you should create a topic. like does college education effects the wage? A manager hires better labor  rents good capital equipment will products hight benefit?

2. Introduction, Literature Review, Model, & partial Data: (Due Tuesday, February 27th) Turn in a draft of the paper (less than 4 pages, excluding tables and references) that includes the Introduction, Literature Review, and Model sections, as well as a partial Data section. Include an updated version of Table A1 and add Tables 1 and 2. • Introduction: The introduction should briefly provide background on the topic, introduce the research question and why it is interesting, and preview the rest of the paper. Much of this can be derived from your research proposal. Note that you will eventually update the introduction after you complete the full project. • Literature Review: A literature review is not an annotated bibliography. A well-written literature review compares and contrasts the relevant papers and relates them to the current study. Your research must reference at least 5 relevant peer-reviewed journal articles. • Model: Discussion of the empirical model should include (a) the regression equation, (b) justification for the functional form and choice of independent variables, and (c) clear, testable hypotheses for coefficient estimates supported by relevant economic theory. Create Table 1 summarizing your econometric model and predicted coefficient estimates for key independent and some control variables, as illustrated in the example packet. • Partial Data: This section should briefly describe the data source(s) and present summary statistics in Table 2. See table examples in research paper packet. Basic summary statistics should include: sample size, mean, standard deviation, minimum, 25th percentile, median, 75th percentile, and maximum. • Submit an electronic copy of the STATA code used to generate the summary statistics.