https://comptroller.nyc.gov/reports/the-impact-of-airbnb-on-nyc-rents/ https://comptroller.nyc.gov/reports/the-impact-of-airbnb-on-... > Any kind of analysis s

https://comptroller.nyc.gov/reports/the-impact-of-airbnb-on-nyc-rents/ https://comptroller.nyc.gov/reports/the-impact-of-airbnb-on-... > Any kind of analysis such as this one relies heavily on _ceteris_ _paribus_ --assume everything else is the same That's not the assumption made by this report. Of course, predicting alternate futures when humans are in play is always a non-trivial task, but they did put some effort toward controlling for the obvious stuff: "A summary of the regression results is presented in Table 1. We find that as the share of units listed on Airbnb goes up by one percentage point, rental rates in the neighborhood go up by 1.58 percent, after controlling for neighborhood level demographic and economic changes. The result is statistically significant at the 1-percent level. Coefficients of other control variables including household income, population and share of college graduates are positive and statistically significant at 1-percent level. Employment rate is not statistically different from zero."