Switch to arXiv paper reference

Author: mikkelpm

README.md

@@ -5,7 +5,7 @@ Python package that computes worst-case standard errors (SE) for minimum distanc
 The computed worst-case SE for the estimated parameters are sharp upper bounds on the true SE (which depend on the unknown moment correlation structure). For over-identified models, the package also computes the efficient moment selection that minimizes the worst-case SE. Additionally, the package can carry out tests of parameter restrictions or over-identifying restrictions.
 
 **Reference:**
-Cocci, Matthew D., and Mikkel Plagborg-Møller (2021), "Standard Errors for Calibrated Parameters", https://scholar.princeton.edu/mikkelpm/calibration
+Cocci, Matthew D., and Mikkel Plagborg-Møller (2021), "Standard Errors for Calibrated Parameters", [arXiv:2109.08109](https://arxiv.org/abs/2109.08109)
 
 Tested in: Python 3.8.11 (Anaconda distribution) on Windows 10 PC