Ariel Ortiz-Bobea Profile picture
May 26, 2021 11 tweets 4 min read Read on X
Just uploaded a pre-print of my chapter "Climate, Agriculture and Food" for the Handbook of Agricultural Econ: arxiv.org/abs/2105.12044

Excited to include a hands-on section (w/ R code) to introduce the reader to many common empirical tasks from data processing to estimation.
Code and data to reproduce all the figures and tasks discussed in the chapter are hosted here: archive.ciser.cornell.edu/reproduction-p…

Thanks to @CISER_CU's amazing staff for helping me host these data permanently and open to all.
Some very standard things in the chapter: covering terminology, overview of methods, recent advances, etc.

The unique and exciting part for me is the empirical section.
Tasks that I cover: weather station interpolation (of various kinds, w/ warnings), efficient gridded weather data aggregation, efficient computation of temperature exposure bins...
Estimation of step functions, splines and Chebyshev polynomials based on temperature exposures (a la Schlenker and Roberts)
I also illustrate how to estimate a "2D" tensor spline to flexibly capture nonlinear weather effects that vary smoothly within the growing season.

This is based on my 2019 ERL paper: iopscience.iop.org/article/10.108…
I also cover the estimation of various types of standard errors and estimators that account for spatial dependence in various ways, including Conley errors and a Spatial Error Model with panel data.
I also talk about common robustness checks in the literature on climate impacts and provide an example on how to succinctly show those checks in a specification chart:
When I was a grad student no-one in my dept worked on climate stuff. I felt I had to learn so much on my own to do research in this area.

My hope is that this chapter will lower barriers to entry to new researchers wanting to study climate impacts on ag (and more). Cheers.
Needless to say, this is a pre-print so I welcome specific comments that I hope I can squeeze in a revision before the final version is sent to the publisher (unfortunately the published chapter won't be open access).
Note that I've been working perhaps too intensively on this over the past few weeks/months, so I'm sure I've missed covering some things. So let me know if you see something within the scope of the chapter that I can easily address. DMs are open!

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More from @ArielOrtizBobea

Jun 16, 2023
Have you ever read a paper (or seen a talk) where you feel the author is reading your mind?

Like any concern is immediately addressed right after it crosses your mind?

I think that is a hallmark of great writing, and I have a theory about it.

A thread... 1/12
2/ Think of writing a paper as taking the reader for a walk.

You decide what path you take your reader on (ie you decide what to write).

BUT you can't control where the reader is looking at! (ie you don't decide what your reader thinks).
3/ Keeping the reader engaged means having them look at what you want to show them on that "trail".

You don't want the reader to get distracted and start engaging w/ tangential thoughts.
Read 15 tweets
Jun 16, 2023
Don't know who needs this, but you need to get yourself out there in the arena.

I know of very talented people who stay isolated in their corner trying to craft the perfect study on their own.

Don't do this. It's not healthy and even reduces the chances you get published.
By the time an econ study gets published, it's old news.

You should share your work with others in various forms MUCH earlier.

You need to build a plan how to get feedback and share your work, *especially* if you are introverted.
There are many way to share your work & get feedback:

Coffee with colleague, brown bags, seminars in your uni, seminar at neighboring unis, your sub-discipline's summer conference, talking to visitors, twitter, blogs, cold emails to relevant people, etc. etc.
Read 7 tweets
Jul 1, 2021
The data section of a paper does not need to be boring.

The data section is actually an opportunity to present a compelling narrative to justify or defend your data choices.

A thread.

1/6
I often see data sources and summary statistics presented like a dry list of ingredients.

"I obtain data on A from data source B. Table 1 shows the summary stats, yada yada, etc..."

2/
While correct, such presentations do not provide the narrative about *WHY* you chose a dataset.

And the reader DOES want to know why.

This is an opportunity to walk the reader through your reasoning of how you think you got the right data for your research Q.

3/
Read 7 tweets
Apr 1, 2021
Our @NatureClimate paper out today shows that anthropogenic climate change has already slowed global agricultural productivity growth. 1/

Link to paper: rdcu.be/chUvW

Press release w/ video: news.cornell.edu/stories/2021/0…

Code+data: doi.org/10.6077/pfsd-0…
This is joint work with colleagues at Cornell (@TobyAult @CarlosMCarrill5), Maryland (Bob Chambers @UMD_AGNR) and Stanford (@DavidBLobell). 2/
There's been a lot of research focusing on *future* climate change impacts on a handful of important field crops.

However, our climate is about 1C warmer, so we wanted to know how much have recent anthropogenic climate change (ACC) affected the *entire* global ag sector. 3/
Read 11 tweets
Dec 1, 2020
Quick thread on tackling a revise & resubmit of your manuscript (ms). These are the steps I follow when I'm the lead/corresponding author. I'm sure others have other strategies, so feel free to chime in.
Step 1. CELEBRATE you got an R&R! Very important. Rejection is the norm, so we have to ensure we celebrate every big (or little) step of the accomplishment.
Step 2. READ the editor's letter carefully (what does she think is important?) and skim the ref reports to get a sense of the challenge ahead. FORWARD the news to co-authors with some brief overall thoughts. Say you'll follow up soon w/ specific thoughts.
Read 10 tweets
Aug 7, 2020
Trying to stay calm, but I'm 7 days away from not being able to work in the US.

I'm a tenured professor at a major university and the US government is pushing me over the brink.

Been waiting for 3 mo (instead of 2d) for the US govt to *print* my already approved work permit.
The worst part is that I'm not alone. There's about 75,000 other immigrants with approved permits waiting for their piece of paper.

There is still a chance I receive a receipt for an extension of my H1B status this coming week (appears to be delayed as well), giving me more time. But this is going down to the wire.
Read 7 tweets

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