Hi, I am looking for someone to write an article on econometric analysis of panel data Paper must be at least 1500 words. Please, no plagiarized work!

Hi, I am looking for someone to write an article on econometric analysis of panel data Paper must be at least 1500 words. Please, no plagiarized work! In the time series data, one observes the values of one or several variables across time (Gujarati 2004, p. 636). In contrast, the values of the variables are collected for one or several sample units or entities at the same point in time (Gujarati 2004, p. 636). The other names for panel data are pooled data, a combination of time series and cross-section data, micro panel data, longitudinal data, event history analysis, and cohort analysis (Gujarati 2004, p 636). From panel data, panel data regression models are constructed (Gujarati 2004, p. 634-637). Gujarati (2004, p. 636) reported that Baltagi cited the following advantages of panel data over cross-section and time series analysis:

Gujarati (2004, p. 638) summarized Baltagi’s six-point analysis of the advantages of panel data into this: panel data can improve analysis in ways not possible under cross-section and time series analysis.

According to Brooks (2008, p. 490), there are two kinds of estimation approaches to panel data in financial research: the fixed effects models and the random effects models. The simplest fixed effect allows the intercept in a regression to differing at a given point in time but not across time, while all of the slope estimates are fixed both at a given time moment and across time (Brooks 2008, p. 490). The fixed effect model is considered parsimonious compared to an alternative---the Seemingly Unrelated Regression (SUR) technique---in which each cross-section can have not only different intercepts but also different slopes for a regression (Brooks 2008, p. 490).