STATA

Earning is one of the most important factors affecting economic decisions and the users of financial statements (stockholders and stakeholders). Users always pay special attention to accounting profit, therefore the users’ awareness of the reliability of earnings and profit can help them in making better decisions about profitability and analyzing financial statements. In preparing financial …

Earnings Management / Accrual Management in Stata Read More »

The purpose of quietly command is to suppress results, such as when you prefer not to display results or tables in Stata’s output window. To explain it, we will use the Stata sample data, which can be accessed by using the below command: sysuse auto.dta, clear The data contain the following variables: Quietly Suppose you …

Quietly and Noisily | Suppress the output in Stata Read More »

This article will discuss how to duplicate observations can be deleted or dropped using Stata. The duplicate observation or values are the identical observation that is repeated two or more two times in a variable. These duplicate observations or values sometimes create an issue, especially when using a panel dataset. The data used in this …

Delete or Drop Duplicate Observations in Stata Read More »

Introduction Many econometric models often get afflicted by what is called the endogeneity problem. This happens when one or more independent variables are correlated with the error term (omitted variable bias), or when the dependent and independent variables jointly determine each other (simultaneity bias). This problem needs to be addressed because in the presence of …

Two-Stage Least Squares (2SLS) Regression in Stata Read More »

Fama and MacBeth’s regression was proposed in 1973. The Fama-MacBeth (1973) regression procedure is instrumental, especially when dealing with datasets that have more cross-sectional data as compared to time-series data. So, the first question we get to ask is why use fama-macbeth regression. A notable advantage of this procedure is that it provides standard errors …

Fama and Macbeth Regression Read More »