This study introduces a novel methodology to estimate the depreciation of intangible assets, specifically focusing on software and creative originals, using data from Google Search Volume (GSV), commonly referred to as Google Trends.
Depreciation, in this context, is understood as a manifestation of obsolescence. As intangible assets become obsolete, their ability to generate revenues diminishes relative to the time of their introduction. GSV provides a practical means to gauge the popularity of products generated by these assets, as a surge in internet searches indicates their relevance. The decline in search activity over time is directly associated with the concept of obsolescence, aligning with economic depreciation principles.
In our analysis, we employ Poisson Pseudo-Maximum-Likelihood (PPML) and negative binomial regressions to estimate the rate of decline of GSV results for a sample of software and movie titles. Our findings reveal a depreciation rate for s oftware originals ranging from 13.4 to 19.4 percent. This is lower than the estimates employed by statistical agencies, which is around 20 to 25 percent. Estimates for movies are comparable to estimates by statistical agencies, notably the US and Germany. We also find that if we apply the depreciation rates we generated from this methodology to the estimation of capital stock, TFP growth for the Information and Communication industry would be higher for non-crisis years, particularly from 1996 to early 2008, and again from 2011 to the end of 2016.