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.
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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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.
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/
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.
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.