Natalie D Bau
Department of Economics
AD
5.0
Overall Rating
Based on 1 User
Easiness 4.0 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 5.0 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 3.0 / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 5.0 / 5 How helpful the class is, 1 being not helpful at all and 5 being extremely helpful.

TOP TAGS

There are no relevant tags for this professor yet.

GRADE DISTRIBUTIONS

There are no grade distributions available for this professor yet.

ENROLLMENT DISTRIBUTIONS
Clear marks

Sorry, no enrollment data is available.

AD

Reviews (1)

1 of 1
1 of 1
Add your review...
Quarter: Spring 2021
Grade: A
COVID-19 This review was submitted during the COVID-19 pandemic. Your experience may vary.
June 26, 2021

Lectures are discussion based where we would talk about important academic papers in development economics that we were supposed to read before coming to class. You were not expected to understand the methodology in detail too much as it is pretty mathematical most of the time. I think if you are interested in learning to read and think about academic papers in economics, this course is excellent and I could not recommend it enough, even if you are not interested in development economics.

You also get some exposure to Stata which is cool for the problem sets and the final project. It certainly isn't enough to teach you anything more than an introductory level of Stata, but it is still good.

The class graded on these problem sets in Stata (one of which was kinda reproducing the results of a paper we read in class but simplified), a final research project that did not have to deal with endogeneity entirely, and policy briefings which are where you recommend certain policies or note important things to consider when designing a randomized controlled trial using what you learned from reading the papers in class.

My perception is that everyone in the class got an A or something close to that. The professor makes everything super understandable. The workload was about 40 or so pages of academic papers each lecture, which would take me several hours usually but I took notes over the papers generally. I do think that lectures were kinda strange because they seemed to summarize a lot of what you would read, but the discussion questions were really the most valuable part of going to lecture because you got to think about things like identification problems and think critically.

One last thing I will mention is that this class is also a graduate course for public policy or something. The graduate students were not actually that intimidating. If you've taken some econometrics you are probably not too far behind them. I partnered with two graduate students for the problem sets, policy briefings, and final project and in my humble opinion, I contributed meaningfully to all of them.

Helpful?

0 0 Please log in to provide feedback.
COVID-19 This review was submitted during the COVID-19 pandemic. Your experience may vary.
Quarter: Spring 2021
Grade: A
June 26, 2021

Lectures are discussion based where we would talk about important academic papers in development economics that we were supposed to read before coming to class. You were not expected to understand the methodology in detail too much as it is pretty mathematical most of the time. I think if you are interested in learning to read and think about academic papers in economics, this course is excellent and I could not recommend it enough, even if you are not interested in development economics.

You also get some exposure to Stata which is cool for the problem sets and the final project. It certainly isn't enough to teach you anything more than an introductory level of Stata, but it is still good.

The class graded on these problem sets in Stata (one of which was kinda reproducing the results of a paper we read in class but simplified), a final research project that did not have to deal with endogeneity entirely, and policy briefings which are where you recommend certain policies or note important things to consider when designing a randomized controlled trial using what you learned from reading the papers in class.

My perception is that everyone in the class got an A or something close to that. The professor makes everything super understandable. The workload was about 40 or so pages of academic papers each lecture, which would take me several hours usually but I took notes over the papers generally. I do think that lectures were kinda strange because they seemed to summarize a lot of what you would read, but the discussion questions were really the most valuable part of going to lecture because you got to think about things like identification problems and think critically.

One last thing I will mention is that this class is also a graduate course for public policy or something. The graduate students were not actually that intimidating. If you've taken some econometrics you are probably not too far behind them. I partnered with two graduate students for the problem sets, policy briefings, and final project and in my humble opinion, I contributed meaningfully to all of them.

Helpful?

0 0 Please log in to provide feedback.
1 of 1
5.0
Overall Rating
Based on 1 User
Easiness 4.0 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 5.0 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 3.0 / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 5.0 / 5 How helpful the class is, 1 being not helpful at all and 5 being extremely helpful.

TOP TAGS

There are no relevant tags for this professor yet.

ADS

Adblock Detected

Bruinwalk is an entirely Daily Bruin-run service brought to you for free. We hate annoying ads just as much as you do, but they help keep our lights on. We promise to keep our ads as relevant for you as possible, so please consider disabling your ad-blocking software while using this site.

Thank you for supporting us!