Some ideas are so good that they keep re-appearing again and again. In other words, they stand the test of time, and prove to be useful in lots of different contexts – sometimes in situations that we couldn’t have imagined when the idea first came ...
There are no April Fool's tricks in the following list of suggestions.
Goodness me! November went by really quickly!Bagnato, L., L. De Capitani, & A. Punzo, 2016. Testing for serial independence: Beyond the portmanteau approach. American Statistician, in press.Aastveit, K.A., C. Foroni, & F. Ravazzolo, 2016. Densi...
Now that the (Northern) summer is here, you should have plenty of time for reading. Here are some recommendations:Ahelegbey, D. F., 2015. The econometrics of networks: A review. Working Paper 13/WP/2015, Department of Economics, University of Venice.Ca...
As we count the year down, there's always time for more reading!Birg, L. and A. Goeddeke, 2014. Christmas economics - A sleigh ride. Discussion Paper No. 220, CEGE, University of Gottingen.Geraci, A., D. Fabbri, and C. Monfardini, 2014. Testing exogene...
While I'm at the lake, fishing, this is your big chance to get on with some reading.There won't be a quiz, but I know that you'll thank me for this later on:Aberdie, A., S. Athey, G. W. Imbens, and J. Wooldridge, 2014. Finite population standard errors...
Any instrumental variables (IV) estimator relies on two key assumptions in order to identify causal effects: That the excluded instrument or instruments only effect the dependent variable through their effect on the endogenous explanatory variable or variables (the exclusion restriction), That the correlation between the excluded instruments and the endogenous explanatory variables is strong enough […]
Any instrumental variables (IV) estimator relies on two key assumptions in order to identify causal effects: That the excluded instrument or instruments only effect the dependent variable through their effect on the endogenous explanatory variable or variables (the exclusion restriction), That the correlation between the excluded instruments and the endogenous explanatory variables is strong enough […]
