In this article, we will follow Drukker (2003) procedure to derive the first-order serial correlation test proposed by Jeff Wooldridge (2002) for panel data. It has to be mentioned that this test is considered a robust test, since works with lesser assumptions on the behavior of the heterogeneous individual effects. We start with the linear …
Wooldridge Serial Correlation Test for Panel Data using Stata. Read More »
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While we’re using the time series datasets, often we’re highly likely to find serial correlation and heteroskedasticity in our data. These cases increase the chances to obtain serially correlated errors with non-constant variance. If we’re purely interested in statistical inferences, we should go for the HAC robust standard errors under the Time Series context. This …
The lessons from behavioral economics have ameliorated social wellbeing and economic success in recent years. Academics and policymakers now recognize that integrating how individuals behave and make decisions in real-life dramatically improves the effectiveness of public policies and the validity of simple theoretical models. Thus, this area of research has enhanced our understanding of the …
When we start to analyze any type of economic relationship, it is often said that we always need to graph the data. The importance of this step is having a visual where we can increase the understanding of our current relationships in the data. Sometimes with this, we can improve the mathematical functional form in …
While modelling specific phenomenon’s in economics, sometimes we might encounter a functional form which may not be linear in the explanatory variables. Assuming, that we still have linearity in the estimators, we have the capability to include in the regression, variables with powers. As an example, consider the following model: The last equation presents the …
Investigating Non-linear relationships with curvefit using Stata Read More »
Log-linearisation in Short with an example
The test of Box & Pierce was derived from the article “Distribution of Residual Autocorrelations in Autoregressive-Integrated Moving Average Time Series Models” in the Journal of the American Statistical Association (Box & Pierce, 1970). The approach is used to test first-order serial correlation, the general form of the test is given the statistic as: Where …
Box-Pierce Test of autocorrelation in Panel Data using Stata. Read More »
