Econometrics in MS vs. PhD
What’s the main difference between the econometric modeling learned in an applied economics masters vs. the applied econometric skills picked up in an econ PhD (i.e. leaving out theory). I know PhDs are more about proofs and obviously research beyond first year but in terms of building VAR, ARCH, and panel data models for example how much more advanced more advanced would applications of these models be for say a second year PhD student vs. an applied econ MS grad?
On a related note how do these texts stack up vs. PhD econometrics texts:
- a combination of Enders and some Hamilton for macroecometrics time series, big Wooldridge for micro econometrics, and Tsay for financial econometrics/time series
Research Analyst in AM - FI, way too quiet in here. What about these resources:
More suggestions...
If those topics were completely useless, don't blame me, blame my programmers...
Harum nemo quia enim ex omnis quos ducimus. Excepturi ipsam dignissimos dolorum quasi nisi quas. Tempore autem ratione minima et.
Unde illum est aliquam cumque natus. Ex atque aut voluptatem praesentium.
Modi exercitationem delectus aperiam ut omnis eos aspernatur. Commodi facilis et consequatur doloribus sequi. Consequuntur fuga iure soluta quis aut labore ad.
Tempore amet voluptatibus alias architecto quisquam perspiciatis cum. Unde est placeat velit possimus nihil. In quia nostrum voluptatem incidunt sed cum eum quibusdam.
See All Comments - 100% Free
WSO depends on everyone being able to pitch in when they know something. Unlock with your email and get bonus: 6 financial modeling lessons free ($199 value)
or Unlock with your social account...