Thore Kockerols

Macroeconomist interested in modelling

[Thore Kockerols @kockerols]

@just_cameron Check out MacroModelling.jl (disclaimer: I am the author). There are functions to translate dynare files and it provides functionality currently not in dynare.jl: autodeclaration of vars and params, autodiff of model solution -> derivatives based samplers https://t.co/EhGP4Rqr5O

[Thore Kockerols @kockerols]

Use MacroModelling.jl (https://t.co/1TbdAswfnS) to do nonlinear estimation with pruned 2nd order, or find the optimal simple rule of the Smets and Wouters (2007) #dsge mode

[Thore Kockerols @kockerols]

How to adjust monetary policy to an increasingly uncertain world?

See Section 4.4 of the #ecb strategy review (https://t.co/q5f6gXufx2).

Want to replicate some of the analysis?

[Thore Kockerols @kockerols]

@ivan_jaccard @SchuelerYves

[Thore Kockerols @kockerols]

1/4 New paper: in “Green and brown returns in a production economy” we propose a novel mechanism linking optimal carbon pricing (e.g. the EU ETS) to a green equity premium.
#IvanJaccard #YvesSchueler https://t.co/mNhOqUGVFc

[Thore Kockerols @kockerols]

4/4 This work advances the literature by integrating asset pricing with environmental policy via the carbon pricing channel, offering a fresh perspective on how environmental regulation shapes financial returns.

[Thore Kockerols @kockerols]

@korenmiklos Following up on my earlier mention: my presentation of MacroModelling.jl at JuliaCon2024 is now available on YouTube. In it, I explain the package for non-economists—detailing features, potential uses, and benefits. Watch here: https://t.co/iPCvQUON71

[Thore Kockerols @kockerols]

@GlennMagerman @korenmiklos And that depends on the available tooling. Lines per task across languages is probably an ok benchmark

[Thore Kockerols @kockerols]

@Martin_Schroe @IsabelMHabicht @Mark_Lutter This refers to the time after the PhD and before the professorship, right?

[Thore Kockerols @kockerols]

@AdrienCorenflos Very interesting paper! Do you have any view on relative performance to NUTS? When does this method work well? When does it not?

[Thore Kockerols @kockerols]

@korenmiklos To set expectations right: MacroModelling.jl does not include dynare.
You can use import_model() to help translating mod files and write_mod_file() for the other direction. Also there is substantial feature overlap. See comparison table at the bottom of: https://t.co/9X8j2DQnZQ

[Thore Kockerols @kockerols]

@gp_mihalache @korenmiklos @tomasmartinezzz Agreed. The point of MacroModelling.jl for me initially was to do away with annoyances (e.g. steady state by hand, variable declarations) in order to focus on the economics. Julia just happened to have convenient tooling to do that.

[Thore Kockerols @kockerols]

@carlos_ed_sg @korenmiklos Yes via @TuringLang + you can use gradient based samplers such as NUTS (more robust and efficient). see here for a tutorial: https://t.co/0N2gxDQZ3I

[Thore Kockerols @kockerols]

Lower entry costs for Stata users to pick up Julia thanks to Kezdi.jl
https://t.co/bcb56uXD31
@korenmiklos #juliacon2024 #econtwitter

[Thore Kockerols @kockerols]

@korenmiklos @JuliaConOrg On my way to #juliacon2024

[Thore Kockerols @kockerols]

@Jackbmeyer Given the arguably large variety of beers you tried (and shared here), what’s your verdict on these ones?

[Thore Kockerols @kockerols]

@just_cameron Check out MacroModelling.jl (disclaimer: I am the author). There are functions to translate dynare files and it provides functionality currently not in dynare.jl: autodeclaration of vars and params, autodiff of model solution -> derivatives based samplers https://t.co/EhGP4Rqr5O

[SSRN @SSRN]

Under what conditions is a leaning against the wind (LAW)-type monetary #policy advisable to address risks to #financialstability?

Read More: https://t.co/ZXbHO6MRtZ
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@ESM_Press @kockerols @ekravik @YasinMimir #EconTwitter