Secular Stagnation, Land Prices, and Collateral Constraints
Zhifeng Cai
UMN
November 29, 2016
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Secular Stagnation, Land Prices, and Collateral Constraints Zhifeng - - PowerPoint PPT Presentation
Secular Stagnation, Land Prices, and Collateral Constraints Zhifeng Cai UMN November 29, 2016 1 / 33 Motivation The 2007-2008 Financial Crisis differs considerably from other postwar recessions Larger declines of macro variables
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◮ Larger declines of macro variables ◮ Slower recovery 2 / 33
Housing Price GDP
% deviation from trend
5 10 15 20
Quarters after recessions start
The Great Recession Previous Recessions
.1
% deviation from trend
5 10 15 20
Quarters after recessions start
% deviation from trend
5 10 15 20
Quarters after recessions start
.1
% deviation from trend
5 10 15 20
Quarters after recessions start
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◮ Large recessions trigger transitions across steady states 4 / 33
𝐼𝑗ℎ 𝐼𝑝𝑣𝑡𝑓ℎ𝑝𝑚𝑒𝑡 𝑋𝑓𝑏𝑚𝑢ℎ
𝑆𝑓𝑚𝑏𝑦𝑓𝑒 𝐺𝑗𝑠𝑛 𝑋𝑝𝑠𝑙𝑗𝑜 𝐷𝑏𝑞𝑗𝑢𝑏𝑚 𝐷𝑝𝑜𝑡𝑢𝑠𝑏𝑗𝑜𝑢
𝑀𝑝𝑥 𝐼𝑝𝑣𝑡𝑓ℎ𝑝𝑚𝑒𝑡 𝑥𝑓𝑏𝑚𝑢ℎ
𝑈𝑗ℎ𝑢𝑓𝑜𝑓𝑒 𝐺𝑗𝑠𝑛 𝑋𝑝𝑠𝑙𝑗𝑜 𝐷𝑏𝑞𝑗𝑢𝑏𝑚 𝐷𝑝𝑜𝑡𝑢𝑠𝑏𝑗𝑜𝑢
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◮ Typical model features a unique steady state
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◮ Isolate the key complementary forces ◮ Characterize conditions steady state multiplicity arises
◮ Sensitivity check ◮ The mechanism generates substantial persistence 7 / 33
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◮ Constant-returns-to-scale production technology ◮ Working capital subject to collateral constraint
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Timeline
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◮ Intratemporal elasticity of substitution (Matters) ◮ (Inverse of) intertemporal elasticity of substitution (Not matter) 11 / 33
t }∞ t=1 and
t=1 such that:
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1 ν = w
α
ν
ν
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1 ν = w
α
ν
ν
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◮ This mapping is constant in the frictionless case.
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ν
ν
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Proof
2 4 6 8 10 12
0.005 0.01 0.015 0.02 18 / 33
Land First Order Condition
Indirect Collateral Effect+
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Details
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ν 1+ 1 ν
1−η
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Back
ft: land rent to households;
ft: land used for production;
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ht, kt, lft, lr ft, dt, nd t }∞ t=1 and
t=1 such that:
h = lr f
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Elasticity of sub. c&h Loan to value ratio 29 / 33
Transitional Dynamics
11 11.2 11.4 11.6 11.8 12 12.2 12.4 12.6
#10-3
0.5 1 1.5 2 2.5
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2004 2006 2008 2010 2012 2014 2016
0.05 Loan-to-value Ratio 9t
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2004 2006 2008 2010 2012 2014 2016
0.1 Output
Data Model
2004 2006 2008 2010 2012 2014 2016
0.2 Investment 2004 2006 2008 2010 2012 2014 2016
0.1 Land Price 2004 2006 2008 2010 2012 2014 2016
0.1 Labor 32 / 33
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Back
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◮ Problem is continuous and general fixed point theorem
◮ Peudo-Concavity ◮ x0 monotonicity 2 / 66
Back
◮ Most micro estimates between 0.13 and 0.6 ◮ Flavin and Nakagawa(2008), Hanushek and Quigley(1980),
◮ Piazzesi, Schneider, and Tuzel(2007): > 1 ◮ Bajari, Chan, Krueger, and Miller(2012): > 6
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Back
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Back 2004 2006 2008 2010 2012 2014 2016
0.02 0.04 0.06 0.08 0.1 0.12 Data 2004 2006 2008 2010 2012 2014 2016
0.2 0.4 0.6 0.8 1 1.2 Model
Labor Wedge Firm Component
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2004 2006 2008 2010 2012 2014 2016 0.6 0.7 0.8 0.9 1 Credit shock (9) 2004 2006 2008 2010 2012 2014 2016 0.97 0.98 0.99 1 1.01 1.02 1.03 Productivity shock (A) 6 / 66
2004 2006 2008 2010 2012 2014 2016
0.1 Output
Data Model
2004 2006 2008 2010 2012 2014 2016
0.2 Investment 2004 2006 2008 2010 2012 2014 2016
0.1 Land Price 2004 2006 2008 2010 2012 2014 2016
0.1 Labor 7 / 66
Back 2010 2011 2012 2013 2014 2015 2016
0.05 Output
Data Benchmark model Credit Shock only
2010 2011 2012 2013 2014 2015 2016
0.2 Investment 2010 2011 2012 2013 2014 2015 2016
0.1 Land Price 2010 2011 2012 2013 2014 2015 2016
0.05 Labor 8 / 66
Back K 8 8.5 9 9.5 K0-K
0.02 0.04 0.06 0.08 w-=wss K 8 8.5 9 9.5 K0-K
0.02 0.04 0.06 0.08 w-=0.98wss K 8 8.5 9 9.5 K0-K
0.02 0.04 0.06 0.08 w-=0.97wss K 8 8.5 9 9.5 K0-K
0.02 0.04 0.06 0.08 w-=0.95wss
Neoclassical Constant-p Benchmark
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8 8.5 9 9.5
0.01
8 8.5 9 9.5
0.22 0.24 0.26 0.28 0.3 0.32 0.34
wt-1=wss wt-1=1wss wt-1=12wss
8 8.5 9 9.5
3 4 5 6 7 8
8 8.5 9 9.5
1.98 1.99 2 2.01 2.02 2.03
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Back
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◮ Consume consumption goods and land, supply labor,
◮ Hire labor and produce; accumulate capital and land; pay
◮ Subject to working capital constraint
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Back
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Back
S&P/Case-Shiller U.S. National Home Price Index, deflated by GDP deflator 16 / 66
Back
Lincoln Institute of Land Policy, Davis and Heathcote(2007) 17 / 66
.05 Log Deviation From Trend 1990 1995 2000 2005 2010 2015
MSA with smallest housing price deline MSA with medium housing price deline MSA with biggest housing price deline
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1 2 3 4 Percentage 2005q1 2008q1 2011q1 2014q1 2017q1
50 100 Net percentage 2005q1 2008q2 2011q3 2014q4 2018q1
20 40 60 80 2005q1 2008q2 2011q3 2014q4 2018q1
2 4 6 2005q1 2008q2 2011q3 2014q4 2018q1
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1 2 3 4 5 6 7 8 9
0.1 0.2 0.3 0.4 0.5 0.6 0.7
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1 2 3 4 5 6 7 8 9
0.1
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1 2 3 4 5 6 7 8 9
0.1
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γA
γ−1 K α 1−γ > ξp(K)h0 wss
γ−1
α 1−γ , ξp (K) h0
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1 2 3 4 5 6 7 8 9
#10-3
1 2 3 4 5 6 7
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1 2 3 4 5 6 7 8 9
0.05 0.1 0.15 0.2 0.25 0.3
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γ 1−α σ + a1p γ 1−α − a2p, for p < ¯
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◮ f(¯
◮ f(p1, ξ) > 0 ◮ f(p2, ξ) < 0
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◮ Follow large crises: Great Recession, Japanese 1990 crisis,
◮ Feature slow recovery of output, employment, and
◮ Eggertsson and Mehrotra(2015), Eggertsson, Mehrotra, and
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t , hf t−1) = τ(hf t − hf t−1
t−1
t−1
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β − 1 + δ
α−1
ν
β − 1 + δ
α−1
β − 1 + δ
α−1
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◮ CD production technology ◮ Working capital subject to collateral constraint
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ν
t
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t , bt}∞ t=1 and {pt, wt, qt}∞ t=1 such that:
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1 ν
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Back
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−1 η
−1 η +
−1 η
−1 η
γ−1
α 1−γ , l0
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−1 η
1 η
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0.5 1 1.5 2 2.5 3 3.5 4
0.005 0.01 0.015
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wssl0 pssh0+kss . Show that given ξss, there exists multiple
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0.5 1 1.5 2 2.5 3 3.5 4
0.005 0.01 0.015
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1 2 3 4 5 6 7 8 9
0.05 0.1 0.15 0.2 0.25 0.3
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1 2 3 4 5 6 7 8 9
#10-3
1 2 3 4 5 6 7
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8 8.2 8.4 8.6 8.8 9 9.2 9.4 9.6 9.8
0.01
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5 10 15 20 25 30 35 40 45
0.86 0.88 0.9 0.92 0.94 0.96 0.98 1
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◮ Huo and Victor (2016),Gornemann, Kuester, and Nakajima
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k 11 11.5 12 12.5 k0-k #10-3
0.5 1 1.5 2 2.5 Capital k 11 11.5 12 12.5 l 0.24 0.26 0.28 0.3 0.32 0.34 Labor k 11 11.5 12 12.5 p 3 4 5 6 7 8 9 Land price k 11 11.5 12 12.5 w 2.2 2.25 2.3 2.35 2.4 Wage 56 / 66
11 11.2 11.4 11.6 11.8 12 12.2 12.4 12.6
#10-3
1 2 3 4 5 6 7
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2004 2006 2008 2010 2012 2014 2016
0.1
Model
2004 2006 2008 2010 2012 2014 2016
0.1
Data Investment Land price Labor Output
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2005 2006 2007 2008 2009 2010 2011 2012 0.32 0.34 0.36 0.38 0.4 0.42 0.44 0.46 0.48 0.5
Data
2005 2006 2007 2008 2009 2010 2011 2012
0.1 0.2 0.3 0.4 0.5 0.6 0.7
Model 59 / 66
pssh0
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Back
2 4 6 8 10 12
0.005 0.01 0.015 0.02
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1 ν
α
ν
ν
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1 ν
α
ν
ν
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Back
5 10 15 20 25
0.995 0.996 0.997 0.998 0.999 1 neoclassical benchmark
5 10 15 20 25
0.92 0.94 0.96 0.98 1 neoclassical benchmark 64 / 66
◮ Good regime: high capital accumulation⇐
◮ Bad regime: low capital accumulation ⇐
◮ Mild recession ⇒ Quick recovery ◮ Severe recession ⇒ Regime switch ⇒ Permanent impact 65 / 66
◮ Consumption for the households ◮ Collateral for the firm to finance its working capital
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