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The next issue of #EctJ celebrates the seminal contributions of Philip G. Wright to causal inference in economics and puts them in a modern perspective. At its core is a reproduction of Appendix B in his 1928 book "The Tariff on Animal and Vegetable Oils" #EconSky academic.oup.com/ectj/advance...
I look forward to the Haavelmo Lecture 2024 with Stéphane Bonhomme: "Heterogeneity in Linear Econometric Models". Come and join us if you are in Oslo December 3! www.sv.uio.no/econ/english...
Made a starter pack on Economists (and related) in Norway: go.bsky.app/SaEqpCs Let me know if you want to be added to the list. Inspired by @jansauermann.bsky.social and @hhsievertsen.bsky.social with the Swedish and Danish lists and the thread by @ginapieters.bsky.social #EconSky 📉📈
within tier, target editors rather than journals
Abstract: . g time = cond(treat, year - treatyear + 100, 99) . xtreg y ib99.time i.year, fe i(id) cluster(id) . coefplot, keep(*.time) vert base www.aeaweb.org/articles?id=...
Dec 9, 2024
Nov 20, 2024
Nov 12, 2024
Sep 24, 2024
Sep 20, 2024
at://did:plc:32lf7aghkmxxrhduixnpfrl3/app.bsky.graph.starterpack/3larsi3ccmu2r
In levying a duty on any article it is desirable to be able to estimate with some accuracy the price, output, and import changes which are likely to follow
Effects of a duty on price and output with special reference to butter and flaxseed
academic.oup.com
Professor Stéphane Bonhomme, University of Chicago, will hold a lecture entitled
www.sv.uio.no
The Haavelmo Lecture 2024 with Stéphane Bonhomme: "Heterogeneity in Linear Econometric Models" - Department of Economics
An Introductory Guide to Event Study Models
(Spring 2023) - The event study model is a powerful econometric tool used for the purpose of estimating dynamic treatment effects. One of its most appealing features is that it provides a built-in gra...
www.aeaweb.org
Jaap Abbring
Edwin Leuven
Edwin Leuven
Edwin Leuven
Øystein Hernæs
How to decide where to submit first? Look at the journals where the most related papers have published. If your paper is better than these for some reason (e.g., better data, better identification), start higher than that tier. If your paper is of equal quality, start at the same tier.