Discussion of The Cyclicality of the Opportunity Cost of Employment by Gabriel Chodorow-Reich and Loukas Karabarbounis

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Transcription:

Discussion of The Cyclicality of the Opportunity Cost of Employment by Gabriel Chodorow-Reich and Loukas Karabarbounis Robert E. Hall Hoover Institution and Department of Economics Stanford University National Bureau of Economic Research EF&G Meeting, NY Federal Reserve, February 7, 2014 1

Framework for cyclical changes in z z is the sum of the changes in four flow values upon taking a job reduction in benefits increase in utility from higher consumption, valued at marginal utility decrease in utility from higher work, valued at marginal utility the cost of the extra consumption of an employed individual 2

Findings Benefits are tiny and fall a small amount in good times 3

Findings Benefits are tiny and fall a small amount in good times The utility component rises in good times 3

Findings Benefits are tiny and fall a small amount in good times The utility component rises in good times The earnings component rises in good times 3

Findings Benefits are tiny and fall a small amount in good times The utility component rises in good times The earnings component rises in good times z is thus surprisingly procyclical and positively correlated with productivity 3

Relation to earlier research Earlier work concentrated on the level of z and did not consider variations over time 4

Relation to earlier research Earlier work concentrated on the level of z and did not consider variations over time This paper is agnostic on the level and only studies the movements over time 4

The paper claims a critical shortcoming in the post-shimer DMP model: The opportunity cost of employment, z, moves somewhat in parallel with productivity x, so the driving force of the model, x z is immune to changes in x 5

The paper claims a critical shortcoming in the post-shimer DMP model: The opportunity cost of employment, z, moves somewhat in parallel with productivity x, so the driving force of the model, x z is immune to changes in x But this finding is actually favorable to the DMP model, provided that the driving force is something other than productivity 5

The paper claims a critical shortcoming in the post-shimer DMP model: The opportunity cost of employment, z, moves somewhat in parallel with productivity x, so the driving force of the model, x z is immune to changes in x But this finding is actually favorable to the DMP model, provided that the driving force is something other than productivity The attenuation of productivity effects is essential to the success of these versions of DMP, because cranking up the sensitivity to driving forces results in unrealistic movements of unemployment, 5

The paper claims a critical shortcoming in the post-shimer DMP model: The opportunity cost of employment, z, moves somewhat in parallel with productivity x, so the driving force of the model, x z is immune to changes in x But this finding is actually favorable to the DMP model, provided that the driving force is something other than productivity The attenuation of productivity effects is essential to the success of these versions of DMP, because cranking up the sensitivity to driving forces results in unrealistic movements of unemployment, because productivity is not much correlated with unemployment it s not the right driving force 5

Alternative driving forces Walsh (2003): marginal revenue product of labor replaces productivity in the NK model, as explained in Rotemberg-Woodford (1999) 6

Alternative driving forces Walsh (2003): marginal revenue product of labor replaces productivity in the NK model, as explained in Rotemberg-Woodford (1999) Gertler-Sala-Trigari (2008): sticky real wage rises when inflation is unexpectedly low between wage-setting moments 6

Alternative driving forces Walsh (2003): marginal revenue product of labor replaces productivity in the NK model, as explained in Rotemberg-Woodford (1999) Gertler-Sala-Trigari (2008): sticky real wage rises when inflation is unexpectedly low between wage-setting moments Mortensen (2011): demand shortfall in final goods markets depresses product prices for intermediate goods and thus depresses the value of the marginal product of labor for those employers 6

Alternative driving forces Walsh (2003): marginal revenue product of labor replaces productivity in the NK model, as explained in Rotemberg-Woodford (1999) Gertler-Sala-Trigari (2008): sticky real wage rises when inflation is unexpectedly low between wage-setting moments Mortensen (2011): demand shortfall in final goods markets depresses product prices for intermediate goods and thus depresses the value of the marginal product of labor for those employers Hall (2013): high discount rates depress the capitalized value of a new hire 6

The DMP model with Nash wage bargain J = 1 + r r + s (x w) = c q 7

The DMP model with Nash wage bargain J = 1 + r r + s (x w) = c q w = (1 β)z + βx + βcθ 7

The DMP model with Nash wage bargain J = 1 + r r + s (x w) = c q w = (1 β)z + βx + βcθ (1 β)(x z) βcθ r + s = c q 7

Taming the negative feedback through tightness w x = (1 β)z + βx + βc θ 8

Taming the negative feedback through tightness w x = (1 β)z + βx + βc θ w = ψw N + (1 ψ)w x 8

Result With low ψ insulation of the wage from the influence of tightness all driving forces are amplified 9

Result With low ψ insulation of the wage from the influence of tightness all driving forces are amplified Example: an increase in the discount rate from 10 to 20 percent annually raises unemployment from 5.8 to 6.5 percent and the decline of one percent in productivity raises unemployment to 7.8 percent 9

Result With low ψ insulation of the wage from the influence of tightness all driving forces are amplified Example: an increase in the discount rate from 10 to 20 percent annually raises unemployment from 5.8 to 6.5 percent and the decline of one percent in productivity raises unemployment to 7.8 percent Similar results in alternating-offer bargaining model of Hall-Milgrom, AER 2008 9

Result With low ψ insulation of the wage from the influence of tightness all driving forces are amplified Example: an increase in the discount rate from 10 to 20 percent annually raises unemployment from 5.8 to 6.5 percent and the decline of one percent in productivity raises unemployment to 7.8 percent Similar results in alternating-offer bargaining model of Hall-Milgrom, AER 2008 In particular, productivity shocks are amplified 9

Fact: Tightness θ and hours productivity x have low correlation 1.0 0.9 0.8 Labor market tightness 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0.0 0.96 0.97 0.98 0.99 1.00 1.01 1.02 1.03 Productivity 10

C-RK: Link z to productivity z = [(1 α)x + α x] z 11

C-RK: Link z to productivity z = [(1 α)x + α x] z Their finding of low α is exactly what is needed to prevent x from having spurious effects on unemployment it saves the DMP models with other driving forces 11

DMP Models within the Parameter Space α Sticky wage Insulation of tightness from productivity Mortensen- Pissarides (1994) Tightnessand productivityinsulated Insulation of wage from tightness ψ 12

General strategy (1 β)(x t z t (α)) βcˆθ t (ψ) r t + s = c q t 13

General strategy (1 β)(x t z t (α)) βcˆθ t (ψ) r t + s = c q t Solve for a variable to explain observed tightness 13

General strategy (1 β)(x t z t (α)) βcˆθ t (ψ) r t + s = c q t Solve for a variable to explain observed tightness Could be x t (Walsh, Mortensen) or r t (Hall); GST a little more complicated 13

General strategy (1 β)(x t z t (α)) βcˆθ t (ψ) r t + s = c q t Solve for a variable to explain observed tightness Could be x t (Walsh, Mortensen) or r t (Hall); GST a little more complicated Judge the reasonability of the resulting measure, within the (ψ, α) parameter space 13

Standard Deviations of Implied Discount Rates within the Parameter Space, Percents at Annual Rates ψ: weight on tightness in wage determination 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 α: size of constant in nonmarket value 1 22 30 43 57 71 86 101 115 130 146 161 0.8 18 28 42 56 71 86 101 116 131 146 161 0.6 15 27 41 56 71 86 101 116 132 147 162 0.4 13 27 42 57 72 87 102 117 132 148 163 0.2 12 27 42 57 72 88 103 118 133 149 164 0 12 28 43 58 73 89 104 119 134 150 165 14

Discount Rate for the Labor Market and the Livingston Panel s Rate for the Stock Market 50 Labor market Livingston 40 30 20 10 0 10 1950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 15

Implied Volatility of the Discount Rate in the Credible-Bargaining Model δ: role of tightness in wage determination α: size of constant in nonmarket value 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1 4.E+02 35 54 72 89 103 117 129 141 151 161 0.8 5.E+02 33 53 72 89 104 117 130 141 152 161 0.6 5.E+02 31 53 72 89 104 118 130 142 152 162 0.4 382 30 53 73 90 105 119 131 143 153 163 0.2 211 30 54 73 91 106 120 132 143 154 164 0 2 32 55 75 92 107 121 133 145 155 165 16

Movements of z not related to productivity Because the correlation of z with unemployment is bigger in magnitude than the correlation of productivity with unemployment, there is a component of z that is orthogonal to productivity but is negatively correlated with unemployment 17

Movements of z not related to productivity Because the correlation of z with unemployment is bigger in magnitude than the correlation of productivity with unemployment, there is a component of z that is orthogonal to productivity but is negatively correlated with unemployment This is perplexing for standard DMP modeling because unemployment should increase in z. 17

Movements of z not related to productivity Because the correlation of z with unemployment is bigger in magnitude than the correlation of productivity with unemployment, there is a component of z that is orthogonal to productivity but is negatively correlated with unemployment This is perplexing for standard DMP modeling because unemployment should increase in z. The answer is presumably that other driving forces account for the fact that unemployment rises at the same time that z falls 17

Movements of z not related to productivity Because the correlation of z with unemployment is bigger in magnitude than the correlation of productivity with unemployment, there is a component of z that is orthogonal to productivity but is negatively correlated with unemployment This is perplexing for standard DMP modeling because unemployment should increase in z. The answer is presumably that other driving forces account for the fact that unemployment rises at the same time that z falls The next step is to plug C-RK s time series for z into the equilibrium condition and solve for one or more of these other driving forces 17

Conclusions C-RK s conclusion, α = 0, is essential for promising variants of DMP because it prevents unrealistic non-cyclical movements in tightness and unemployment 18

Conclusions C-RK s conclusion, α = 0, is essential for promising variants of DMP because it prevents unrealistic non-cyclical movements in tightness and unemployment Given liberation from productivity as a driving force, we should pursue various driving forces potentially in combination 18

19

Variable hours T = (x w(x))h (r + s)c 20

Variable hours T = (x w(x))h (r + s)c c = c 0 h 20

Variable hours T = (x w(x))h (r + s)c c = c 0 h θ T = µ 20

Recruiting cost is per-worker c = c 0 21

Recruiting cost is per-worker c = c 0 T = (x w(x))h (r + s)c 0 21

Recruiting cost is per-worker T = T = c = c 0 (x w(x))h (r + s)c 0 xh w(x)h (r + s)c 0 21

Recruiting cost is per-worker T = T = c = c 0 (x w(x))h (r + s)c 0 xh w(x)h (r + s)c 0 T = w(x) xh xh x (r + s)c 0 21

Combine effects of hourly productivity and hours into hours per worker? H = xh 22

Combine effects of hourly productivity and hours into hours per worker? H = xh T (H) = H w 0H (r + s)c 0 22

Combine effects of hourly productivity and hours into hours per worker? H = xh T (H) = H w 0H (r + s)c 0 w(x) = w 0 x 22

Conclusions Productivity per worker should not be taken as a driving force in a setting where hours per worker are volatile. The condition for combining hours and hourly productivity into a single variable is much too restrictive to take that shortcut. 23

Conclusions Productivity per worker should not be taken as a driving force in a setting where hours per worker are volatile. The condition for combining hours and hourly productivity into a single variable is much too restrictive to take that shortcut. The variability of hours per worker independent of variations in output per hour calls for further attention. If it is true that recruiting costs are per worker rather than per hour of work, the driving force that accounts for the variation in hours is also a driving force of tightness. 23