Figure 5From: Can Google Trends predict asylum-seekers’ destination choices?Effects of Including Google Trends on Models’ Performances R-square differences between models with and without indicators from Google Trends. Model classes are denoted by PL (Pooled Regression); AR (Auto-regressive Regression); and FE (Fixed-effects Regression). Colors are differentiated by Goog.Lin (models include indicators from Google Trends as linear predictors); and Goog.NL (models include indicators from Google Trends as predictors in nonlinear polynomials)Back to article page