The article explores how using shorter time periods in data analysis may not always improve the accuracy of results when testing for cointegration. The researchers conducted simulations to show that cointegration, a concept that looks at long-term relationships, requires longer periods of data to be effective. In short, having more observations in a shorter time frame doesn't necessarily lead to better cointegration tests.