Macroeconomist interested in modelling

Joined July 2009
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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 github.com/thorek1/MacroMode…
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How to adjust monetary policy to an increasingly uncertain world? See Section 4.4 of the #ecb strategy review (t.ly/9NGe3). Want to replicate some of the analysis?

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

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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 t.ly/kPXfD

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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.
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Lower entry costs for Stata users to pick up Julia thanks to Kezdi.jl github.com/codedthinking/Kez… @korenmiklos #juliacon2024 #econtwitter
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Thore Kockerols retweeted
6 Jul 2023
Under what conditions is a leaning against the wind (LAW)-type monetary #policy advisable to address risks to #financialstability? Read More: spkl.io/601749hJU Subscribe for Free: spkl.io/601849hJq @ESM_Press @kockerols @ekravik @YasinMimir #EconTwitter
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Thore Kockerols retweeted
#SUERFpolicybrief "Navigating the Tightrope: Balancing Financial Stability and Inflation in the Age of Persistent Financial Cycles and Crises" by @kockerols (@NorgesBank, @ecb) Erling Motzfeldt Kravik (@Finansdep), and @YasinMimir (@ESM_Press) #MonetaryPolicy #FinancialCycle
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Thore Kockerols retweeted
5 Apr 2023
A new ESM Working Paper by Thore Kockerols, Erling Motzfeldt Kravik and @YasinMimir : “Leaning against persistent financial cycles with occasional crises” is out. 🔗 ow.ly/KPoi50NzwzX #ESMWP
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Thore Kockerols retweeted
Can machine learning techniques be used to solve and estimate HANK models? In a new paper, joint with @HannoKase and @LeonardoMelosi, we propose an approach based on neural networks to estimate a nonlinear HANK model with idiosyncratic and aggregate uncertainty. Short🧵below
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Thore Kockerols retweeted
Bundesminister #Habeck begründet vor der Bundestagsdebatte, warum er die Lieferung von schweren Waffen an die #Ukraine befürwortet.
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Thore Kockerols retweeted
Today I’ll suggest some specific measures to end this war. To start with, the very idea of deescalation as the ultimate goal is absolutely insane. It would mean repeating Napoleon’s mistake. Napoleon worked hard on deescalation – that’s why he lost a war he could’ve totally won🧵
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Thore Kockerols retweeted
10 Mar 2022
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Thore Kockerols retweeted
Quick ad-hoc simulation of impact of import ban of Russian oil by Western countries by @HMahlkow and myself. Bottom line: USA, UK and Canada alone won’t change much (GDP -0.03% for RUS). EU countries joining makes all the difference (but is costly). @kielinstitute #Oil #sanctions
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Thore Kockerols retweeted
#Adaptive #sparse #grids can limit the bite of the #curse of #dimensionality. More on this topic here: 👉 julienpascal.github.io/post/… #EconTwitter @JuliaLanguage
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Thore Kockerols retweeted
6 Apr 2021
Asset purchases ease financial conditions in emerging economies by curbing capital outflows enabled by stronger bank balance sheets upon the asset intermediation by the central bank @YasinMimir @NorgesBank, @enessunel @OECD @OECDeconomy ow.ly/T79F50EhoGO
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Thore Kockerols retweeted
6 Mar 2021
#Sanctions are #policy tools to be used cautiously. They have strong effects on #trade & it is hard to know who will be hit, how, & for how long M Crozet @UnivParisSaclay, @julianhinz @unibielefeld, @AmreiStammann @ruhrunibochum, @JoschkaWanner @unipotsdam ow.ly/lfoe50DRkwq
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Thore Kockerols retweeted
Our paper on firms' exporting behaviour to countries under #sanctions is out now in the European Economic Review column on @VoxEU. A short thread on the findings:
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