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The Economic Ripple Effects of COVID-19
Francisco J. Buera1 Roberto N. Fattal-Jaef2
Hugo Hopenhayn 4 P. Andrés Neumeyer 3 Yongseok Shin 1
1Washington University in St. Louis
2World Bank 3Universidad Torcuato Di Tella 4UCLA
Universidad Torcuato Di TellaJune 3, 2020
Motivation
• COVID+non-pharmaceutical interventions (NPIs):
. largest (transitory ?) aggregate shock since...
. more permanent reshuffling of what/how we consume
• This paper:
. Ripple effects of a LARGE transitory shock, e.g., Lockdown?
. Ripple effects of a pure reallocation shock?
. How effects depend on policies/institutions?
Motivation: How Bad, For How Long?
Motivation: How Bad, For How Long?
Motivation: Neoclassical Dynamics of Lockdown
Related Literature
• See NBER Working Papers 26867-27281
This Paper
• Heterogeneous Agents model. occupational choices. stochastic ability
zt =
{zt−1 with prob. ψt
z ∼ 1− z−η otherwise
. credit friction: collateral constraints, kt ≤ λat
. labor friction: matching friction w/ rest unemployment
• Deterministic dynamics following unanticipated shocks:. Lock-down: fraction φ of all firms becomes Non-Essential (shut-down).. Reallocation shock: 10% of individuals redraw their productivity,
0.87 = ψ1 < ψ = 0.97
• Buera, Fattal-Jaef & Shin (2015)+ (simple version of) Alvarez & Shimer (2011)
Roadmap
• Analyze macro and micro implicatons of:
1. one-period lockdown shock, three cases:
1.1 non-essential firms have no income, liable for rental/debt payments (baseline)
1.2 also liable for wage payments, i.e., no wage subsidies/furloughs
1.3 small open economy with tighter credit constraints...
2. Pure reallocation shock...
Agent’s Optimization Problem: Essential
vt (z , a) = maxa′,oc
{[ct ]
1−σ
1− σ+ βEvt+1
[z ′, a′
]}ct + at+1 = max {wt ,πt (z , at ; rt ,wt)}+ (1+ rt) at − Tt
whereπt (z , a; r ,w) = max
k,lzkαl θ − (rt + δ) k − wt l
subject to k ≤ λa
• Full replacement unemployment insurance: wt
• Lump-sum taxes with budget balance, Tt = wtUt
Agent’s Optimization Problems: Non-Essential
• Businesses
vNE1 (z , a) = maxa′
{[ct ]
1−σ
1− σ+ βEv2
[z ′, a′
]}c1 + a2 = − (r + δ) k1− + (1+ r1) a1 − T1
• Workers
vW1 (z , a) = maxa′
{[ct ]
1−σ
1− σ+ βEv2
[z ′, a′
]}c1 + a2 = w1 + (1+ r1) a1 − T1
• Non-essential entrepreneurs only pay rental cost, − (r + δ) k1−. employment at will (US) or generous government wage subsidies (Europe)
• non-essential become essential for t ≥ 2
Labor Market Friction
• Mt unemployed workers matched to the hiring market
Mt = γ (Ut + JDt)
• Evolution of Unemployment
Ut+1 = Ut + JDt −Mt
• Job Destruction
JDt =∫
[max {l−1 − lt (a, z) , 0}][dGE
t + dGNEt
]+ exiting entrep.
• Walrasian Hiring Market Clearing∫lt (a,z)>0
[1+ lt (a, z)][dGE
t + dGNEt
]︸ ︷︷ ︸
labor demand
= 1− Ut+1︸ ︷︷ ︸labor supply
Labor Market Friction with Rest Unemployment
• non-essential workers are not reallocated in the first period
• but can be rehired frictionlessly by their previous employers in the secondperiod
. only by surviving firms
. if their net-worth constraint does not bind
Labor Market Friction with Rest Unemployment
• Mt unemployed workers matched to the hiring market
M1 = γ (U1 + JD1 − R1)
M2 = γ (U2 + JD2 − RH2)
where
R1 = job destruction by surviving non-essential firms in t = 1
andRH2 = ψ
∫l0>0
max {min {l2 (a, z) , l0} − l1, 0} dGNE2
. i.e., job destruction by non-essential can be re-hired the following period
• Evolution of Unemployment
U2 = U1 + JD1 −M1
U3 = U2 + JD2 −M2 − RH2
Calibration Strategy
• Parameter values set to match
. distribution and dynamics of U.S. establishments
. unemployment rate in U.S. (γ)
. external finance to fixed capital in non-corporate sector in U.S. (λ)
I also calibration to external finance in developing countries
Roadmap
• Analyze macro and micro implicatons of:
1. one-period lockdown shock, three cases:
1.1 non-essential firms have no income, liable for rental/debt payments (baseline)
1.2 also liable for wage payments, i.e., no wage subsidies/furloughs
1.3 small open economy with tighter credit constraints...
2. Pure reallocation shock...
The Lock-Down Shock
• Start from stationary allocation
• Unexpected shock: fraction φ of businesses considered Non-Essential
. magnitude and persistence of φ still open question
. assume φ = 0.3 , 1-period shock→emphasize model’s propagation
. shock realized after occupation and factor demand decisions, but beforeproduction
• two assumptions about labor costs in the first period:
. are not paid by the firm, e.g., wage subsidies (Europe), furlough (US)
. firm must paid wage bill
Propagation Forces
1. Burst of job destruction+matching friction→ rise in Unemployment
2. Imperfect insurance→ heterogeneous effect on net-worth
3. Financial Frictions→ TFP , investment, rehiring dynamics
Roadmap
• Analyze macro and micro implicatons of:
1. one-period lockdown shock, three cases:
1.1 non-essential firms have no income, liable for rental/debt payments (baseline)
1.2 also liable for wage payments, i.e., no wage subsidies/furloughs
1.3 small open economy with tighter credit constraints...
2. Pure reallocation shock...
Lockdown: Aggregate Variables I
Lockdown: Aggregate Variables II
Micro Implications I: Employment by Age
Young: less than 5 year old
Micro Implications II: Consumption
Lockdown: Role of Rest Unemployment
Roadmap
• Analyze macro and micro implicatons of:
1. one-period lockdown shock, three cases:
1.1 non-essential firms have no income, liable for rental/debt payments (baseline)
1.2 also liable for wage payments, i.e., no wage subsidies/furloughs
1.3 small open economy with tighter credit constraints...
2. Pure reallocation shock...
No Wage Subsidies: Aggregate Variables I
No Wage Subsidies: Aggregate Variables II
Micro Implications: Employment by Age
Young: less than 5 year old
Roadmap
• Analyze macro and micro implicatons of:
1. one-period lockdown shock, three cases:
1.1 non-essential firms have no income, liable for rental/debt payments (baseline)
1.2 also liable for wage payments, i.e., no wage subsidies/furloughs
1.3 small open economy with tighter credit constraints...
2. Pure reallocation shock...
Small Open Economy: Aggregate Variables I
Roadmap
• Analyze macro and micro implicatons of:
1. one-period lockdown shock, three cases:
1.1 non-essential firms have no income, liable for rental/debt payments (baseline)
1.2 also liable for wage payments, i.e., no wage subsidies/furloughs
1.3 small open economy with tighter credit constraints...
2. Pure reallocation shock...
Pure Reallocation Shock
• Start from stationary allocation
• Unexpected shock: 10% of individuals redraw their productivity,0.87 = ψ1 < ψ = 0.97
. ∼ 10% of old businesses need to be replace by new ones
. in a neoclassical world there are no aggregate consequences
. process slow by financial and labor frictions
• It captures more permanent reshuffling of what/how we consume/produce
. online person academic/business conference
. changes in type of recreation and vacations
Pure Reallocation Shock: Aggregate Variables I
Pure Reallocation Shock: Aggregate Variables II
Summary of Results
1. Fast aggregate recovery (with wage support/flexible employment & rest)
2. but large, persistence effects for young firms
3. fall of interest rate (∆ aggregate demand<∆ aggregate supply)
4. large ripple effect without wage support/inflexible employment
5. capital outflows from financially underdeveloped, small open economies
Work in Progress, Further Extensions
• Distribution of welfare costs. Who gain from wage subsidies, milder ripple effects?
• Lockdown of different duration. Are cost convex in the length?
• Capital irreversibility, Kt+1 ≥ (1− δ)Kt
. Extension relevant for the case without wage subsidy, SOE with tighter creditconstraint
. Initial drop in the price of capital, further tighten constraints, e.g., Kiyotaki &Moore (1997)
• Debt financed support policies. Further depress investment. Ameliorate initial fall in consumption of constrained agents