The June issue of the Economic Record (https://t.co/MV7CZp36HQ) is now out — research on civil conflict & trust, Australian nowcasting, retirement savings policy, occupational licensing, and Australian Public Service promotion equity. Plus book reviews. Highlights ↓
Global forces drive r-star 📉
Morley @macromorley & Wong show global shocks drove most of the decline in r-star for 7 advanced open economies since the GFC, but local shocks still matter—leaving a role for tracking domestic r-stars.
🔗 https://t.co/Y807f4vUBm
@ANUCrawford
The cutest part of the DNC:
Kamala Harris’ nieces teach America how to pronounce her first name as Kerry Washington helps.
I’m sure Trump will continue to disrespect her and say it wrong but oh well. We won’t have to deal with him much longer if you vote!
New CAMA working paper (Vol: 52/2024): ‘How Does Tax and Transfer Progressivity Affect Household Consumption Insurance?’, by Yunho Cho @jnu1906, @macromorley@Sydney_Uni and Aarti Singh @Sydney_Uni.
Read it at: https://t.co/iR7MQlgolm
@ANUCrawford
For everyone who was at the Dolomiti Macro Meetings, I’m sharing the results for the Norwegian output gap from the BN filter website
https://t.co/6XzWcO2p1A
#ASSE2024: "Business cycle: sources of persistent changes in the output gap and unemployment rate", @macromorley of @Sydney_Uni presented the importance of good output gap estimations using trend-cycle decomposition from web-based user friendly tools.
@EnseaO@BCEAO_Officiel
Thank you to @EnseaO for giving me the opportunity to give lectures on trend-cycle decomposition at the Africa Summer School in Econometrics. The group of PhD students from many countries provided brilliant questions and we had fun trying out new series in https://t.co/EXhkUqt6Lr
@J_Meanwell The excellent study by Haug and Power on NZ fiscal multipliers with tight or loose monetary policy was also published (open access) in The @EconomicRecord https://t.co/hM1LFwtTy8
Sometimes trend-cycle decompositions are misspecified in the sense that assumed random walk trends display serial correlation in their estimates. In our new JBES article, Ben Wong, Brian TD Tran, and I propose a simple correction for this and estimate r* https://t.co/2M93dTg0Ir
CAMA working paper (Vol: 24/2024): ‘Trend-Cycle Decomposition After COVID’, by Güneş Kamber @IMFNews, @macromorley and Benjamin Wong @MonashUni
Read it at: https://t.co/Yrlq71Nuke
@ANUCrawford
The https://t.co/EXhkUqt6Lr website allows application of the BN filter to any time series using a FRED mnemonic or directly entered into the website. Fully adaptable Matlab or R code also available at https://t.co/SH3y0ysYu3
If you want to conduct trend-cycle decomposition assuming a smooth trend and including Covid-era data, use the BN filter described in our new working paper https://t.co/SGZeG4Rt3q, with online tool available at https://t.co/EXhkUqt6Lr
In our working paper https://t.co/SGZeG4Rt3q, we introduce some refinements to the BN filter that produce a smoother trend, but retain the strong reliability of the original BN filter in our 2018 REStat paper https://t.co/cjWfQedfIX