1) Introduction Statingyour hypothesis,explainwhy this topic is important and interesting, what related literature already exists, and how your work contributes to the existing literature on this topic.2) DataDescribeyour data (including sources and descriptions of variables), perhaps including a Figure.3) MethodsStating your estimated model(ideally as an equation),justify thefunctional form you choose (log,quadratic,etc.) and what assumptions you makein your model.4) ResultsShowyour estimated model results in a Tableincluding: coefficients, standard errors, number of observations, and R-squared (see below for an example in Table 1). Interpret your results carefully, conduct and interpret hypotheses tests (individual and perhaps jointtests).Do not copy and paste R-output or code, butinsteadpresent your results in a clear manner so that someone not familiar with your data and code can understand it.Be careful about causal interpretation
Use the order calculator below and get started! Contact our live support team for any assistance or inquiry.
[order_calculator]