bsky.app/profile/vram...
When does inflation increase slowly ("hump-shaped") vs rapidly? When do different drivers (wages, markups, etc) play bigger roles?
My #JMP explores these Qs by bringing a key variable back to the center of the debate: capacity utilization
A thread 🧵👇
bsky.app/profile/vram...
@Nacho2G
and PhD advisors for their support.
More on my profile: vasudeva-ram.github.io
Full paper and other research: vasudeva-ram.github.io/research/
Comments welcome!
@Nacho2G
and PhD advisors for their support.
More on my profile: vasudeva-ram.github.io
Full paper and other research: vasudeva-ram.github.io/research/
Comments welcome!
Markups, wages, profits are state-dependent on rate of capacity utilization. This has implications for
→ Wealth and income inequality over cycle
→ Optimal tax & transfer design over cycle
Future work: optimal monetary & tax policy in this framework
Markups, wages, profits are state-dependent on rate of capacity utilization. This has implications for
→ Wealth and income inequality over cycle
→ Optimal tax & transfer design over cycle
Future work: optimal monetary & tax policy in this framework
Provides framework to study key trade-off for monetary policy when capacity is tight:
⭐️Textbook: R ⬆️ → demand ⬇️ →inflation ⬇️ 😀
⭐️But also: R ⬆️ → slow capacity expansion → markups ⬆️ →inflation ⬆️ 😡
Echoes recent analysis by
@employamerica.bsky.social
Provides framework to study key trade-off for monetary policy when capacity is tight:
⭐️Textbook: R ⬆️ → demand ⬇️ →inflation ⬇️ 😀
⭐️But also: R ⬆️ → slow capacity expansion → markups ⬆️ →inflation ⬆️ 😡
Echoes recent analysis by
@employamerica.bsky.social
We estimate our model using Bayesian IRF matching and find a very good fit for key variables to MP shocks.
Bottom line: NK models with capacity utilization can potentially explain both recent as well as historical inflation behavior
We estimate our model using Bayesian IRF matching and find a very good fit for key variables to MP shocks.
Bottom line: NK models with capacity utilization can potentially explain both recent as well as historical inflation behavior
Procyclical markups are more likely when:
➡️ High utilization rate y* when shock occurs
➡️ Prices have relatively lower nominal rigidities than wages
Procyclical markups are more likely when:
➡️ High utilization rate y* when shock occurs
➡️ Prices have relatively lower nominal rigidities than wages
⭐️ Capacity utilization rate y* appears as a state variable in the linearized PC
⭐️ Reflects nonlinearities due to *product market* tightness
⭐️ Capacity utilization rate y* appears as a state variable in the linearized PC
⭐️ Reflects nonlinearities due to *product market* tightness
⭐️When y* is high → inflation responds immediately, driven primarily by higher markups and muted productivity effects (right panel)
⭐️When y* is high → inflation responds immediately, driven primarily by higher markups and muted productivity effects (right panel)
⭐️Higher markups + wages → upward pressure
⭐️Higher productivity → downward pressure
Final inflation response therefore depends on which effects dominate and depends nonlinearly on utilization rate (y*).
⭐️Higher markups + wages → upward pressure
⭐️Higher productivity → downward pressure
Final inflation response therefore depends on which effects dominate and depends nonlinearly on utilization rate (y*).
1️⃣ Firms have higher productivity due to higher worker effort and utilizing idle capacity
2️⃣ Firms raise prices thru higher markups to manage excess demand & maintain precautionary capacity
1️⃣ Firms have higher productivity due to higher worker effort and utilizing idle capacity
2️⃣ Firms raise prices thru higher markups to manage excess demand & maintain precautionary capacity
Firms set capacity before observing variable demand → optimal to hold some "precautionary" capacity
When demand manifests, firms produce by utilizing capacity (ala labor effort in Burnside 93)-*upto max capacity*!
Firms set capacity before observing variable demand → optimal to hold some "precautionary" capacity
When demand manifests, firms produce by utilizing capacity (ala labor effort in Burnside 93)-*upto max capacity*!
1️⃣ Typical inflation response to shocks is sluggish & hump-shaped. But sometimes (eg post-Covid) inflation rises sharply
2️⃣ After MP shocks markups⬆️ when GDP⬆️ ("procyclical"), but New Keynesian (NK) models predict opposite
This paper: reconciling 👆
1️⃣ Typical inflation response to shocks is sluggish & hump-shaped. But sometimes (eg post-Covid) inflation rises sharply
2️⃣ After MP shocks markups⬆️ when GDP⬆️ ("procyclical"), but New Keynesian (NK) models predict opposite
This paper: reconciling 👆
After demand (~mon policy) shocks, when demand ⬆️
• if high slack: idle capacity ⬇️ → firm productivity ⬆️ → slow inflation
• if low slack: precautionary capacity ⬇️ → markups ⬆️ (to manage excess demand) → sharp inflation
After demand (~mon policy) shocks, when demand ⬆️
• if high slack: idle capacity ⬇️ → firm productivity ⬆️ → slow inflation
• if low slack: precautionary capacity ⬇️ → markups ⬆️ (to manage excess demand) → sharp inflation