1/9🧵My latest article continues my research agenda aimed at evaluating policy by combining economic experiments with environmental modelling...🔓https://t.co/WGLXXAVFG8
@s8mb If one were so ideologically inclined, the "Big State" equivalent of this is to cut the tax-free allowance and fund things that benefit higher earners. Nordics long kept broader support for the welfare state by courting the middle class: University, income protection etc.
@thomasforth@timleunig What happened to lower-skilled jobs in those US cities? Grad premium is grad pay *relative* to non-grad, so both are relevant. Minimum wage set at state level, for example? Decline in factory jobs vs (lower paid) food service and hospitality?
@btshapir Caveat that 1 paper, however good, is never the final word. Is the question 'do minimum wage policies decrease employment?' better answered with a super careful, rigorous paper on one case study, or many case studies by many authors w different skillsets/inst. knowledge/priors?
@antonhowes In countries where incorporated housing associations are the norm, the residents/shareholders still typically pay off the debt (from land buyout/construction) each month. The advantage to me seems to be service charges are democratically decided on & no time limit.
@SandroAmbuehl Quite grateful for my advisers nudging me to 'go out in the world an collect data', even if it meant some trade-offs in sample size / quality. Definitely limitations in my PhD work that a more seasoned researcher could have avoided, but I learned a lot as I went.
@ben_golub Many (possibly most) bad empirical papers are bad not because of bad analysis but because of bad data. I suspect (and hope) for more focus on understanding the data generating process and the institutional nuances of partners in data production. LLMs lack this instl. knowledge.
@StefanFSchubert@hkanji Well, a lower tax-free allowance, and generally the welfare state is less lopsided between young families vs the elderly. E.g. nursery generously subsidised by local government while employers bear more responsibility for pensions vs state.
Approximate time allocation over the past five years as an economics PhD candidate:
Data engineering (60%)
Data visualisation (20%)
Model building (10%)
Reading papers in my subfield (5%)
Academic writing (3%)
Writing grant applications (1.9%)
Reading outside my subfield (0.1%)
@DrenikAndres @hafrouzi Curious how median wage growth compares to mean. My assumption would be that increases are skewed towards job hoppers and new entrants? Many people, for good and less good reasons, find it inconvenient and stressful to job search, even in a tight market.
@NBraakmann@economeager Absolutely. I do miss the creative freedom in Ac, and would never argue that being beholden to grant funders is = as serving clients. On the other hand, I enjoy the shorter turnaround of consulting projects, and seeing immediate impact. Work-life balance is a toss up really.
@NBraakmann@economeager Maybe it's a B-school thing, but leaving was the path of least resistance tbh. I spent the summer between years 2 and 3 with a consultancy with a good % econ PhDs, returned full-time after my 3rd year while writing up. Simples.
@john_voorheis It's quite a gap between "reduce carbon-intensive HIC consumption while we figure out how to reduce that carbon intensity" and "people dying". E.g. all beef & dairy in my supermarket is British. British cattle farmers will not literally die if that business goes under I promise.
@RemyLevin Consulting is still busy, from where I'm sitting. Tech well represented among our clients, together with financial services and regulated utilities. Possible that big co's will prefer to rent econ expertise rather than buy.
@Josh_Merfeld Hazard a guess that most economists grew up in cities and have limited connection to/understanding of farming communities. Further, this urbanite bias is probably *higher* among LDC economists, where social mobility is typically more limited.
@DSchindlerEcon @willem18010004 @Tokunbiola@locksgedeao Given ages of JMCs these days (many early 30s?) I'm surprised they seem to be this mobile. Maybe I'm overestimating assortative mat(ch)ing but I imagine most would have spouses in knowledge economy careers that don't exist everywhere. In 🇳🇱, commuting options are great of course!
@itaisher@RemyLevin I don't think anyone seriously disputes that, other than as inter-disciplinary banter. The consideration is about opportunity costs. For my research my limited time for interdisciplinary study is better spent on ecology, geography, etc over RA.
🍇We have 2 open PhD positions in our project on environmentally-friendly 🍇 production in🇨🇭& migrant farm labor with @RobertFinger1 (deadline: Sep. 30.) https://t.co/Do589l6qxA