InvestmentSpecific Technological Change, Taxation and Inequality in the U.S.


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1 InvestmentSpecific Technological Change, Taxation and Inequality in the U.S. Pedro Brinca 1 João B. Duarte 2 João G. Oliveira 2 ASSA Annual Meeting January Nova SBE and Center for Economics and Finance at University of Porto. 2 Nova SBE. 1 / 34
2 Summary Question: To what extent can the drop in investment prices and changes in taxation account for the path of income inequality? Framework: Standard incomplete markets model with a continuum of heterogeneous agents, detailed tax system, and nonroutine labor/capital complementarity Findings: 1. Structural changes account for one third of the increase in the posttax income Gini 2. Main mechanisms: higher nonroutine wage premium and increased posttax income dispersion 3. Progressivity alone accounts for 16% and the investmentspecific technological change alone accounts for 15% 2 / 34
3 Stylized facts  US 0.70 Income Gini (pretax) Income Gini (posttax) Relative price of investment (1967 = 1) Income tax progressivity Income tax scale (rhs) / 34
4 Stylized facts  US Wage differential (log points x 100) Nonroutine, skilled Routine, skilled Nonroutine, unskilled  rhs Wage differential (log points x 100) Nonroutine premium (log points x 100) Nonroutine wage premium College wage premium College premium (log points x 100) Data and regression 4 / 34
5 Model Key ingredients Complementarity between capital and nonroutine labor Substitutability between capital and routine labor Groups are calibrated to match employment. No occupational choice Incomplete markets Tax system and tech variables 5 / 34
6 Model Production: Karabarbounis & Neiman (2014) Two sector economy: (i) final goods and (ii) intermediate goods Intermediate goods sector has technology: ( Y t = A t φ 1 Z σ 1 σ Z t = t (φ 2 (K t ) ρ 1 ρ ) σ R, + (1 φ 1 )N σ 1 σ 1 t σ ) NR, + (1 φ 2 )N ρ 1 ρ ρ 1 t ρ Taxation: consumption, capital, SS, and labor income y a = 1 θ 1 y θ 2 6 / 34
7 Model Final goods firms Operate in perfect competition Produce consumption (C and G) and investment goods (X) ξ is the level of technology of investment goods firms versus consumption goods firms higher ξ less intermediate goods (z x t ) required to produce the aggregate investment good C t + G t = zt c ( 1 X t = ξ t ) z x t In equilibrium, ξ equals the relative price of investment goods 7 / 34
8 Government Government runs a balanced social security system by taxing employers and employees, τ ss and τ ss, and paying benefits, Ψ t, to retired agents: Ψ( j 65 Ω j) = R ss Government also taxes consumption, labor and capital income to finance public consumption, G t, interest on the national debt, R t B t, and lump sum transfers, g t. Consumption and capital income are taxed at rates τ c, and τ k. Progressive labor income taxes. Lumpsum transfers financed by government surplus: g t dφ + Gt + R tb t 8 / 34
9 Model Intermediate goods firms Operate in perfect competition Profit maximization: r t = Y t / K t δ = [ ( ) 1 A σ 1 ] 1 σ ρ t Y σ ρσ 1 ρ t φ 1 Zt φ 2 K t w NR t = Y t / N NR t w R t = Y t / N R t = (1 φ 1 ) = [ A σ 1 ] 1 σ ρ t Y σ ρσ t φ 1 Z ( A σ 1 t N R t t (1 φ 2 ) ) Y 1 σ t δ ( 1 ) 1 ρ Nt NR 9 / 34
10 Model Demographics Households enter the labor market at 20 and retire at 65 Individuals assigned to group a (nonroutine skilled, nonroutine unskilled, routine skilled, routine unskilled), and are exposed to idiosyncratic wage risk u. w s is the wage for the assigned labor variety (routine or nonroutine) w(j, a, u) = w s e γ1j+γ2j 2 +γ 3j 3 +a+u u = ρ u u + ɛ, ɛ N(0, σ 2 ɛ) s = {NR, R} Accidental bequests upon death distributed lump sum to living households (Γ) Retired households collect constant retirement benefit Ψ 10 / 34
11 Model Household state variable Nonarbitrage condition State variable definition 1 ξ (ξ + (r ξδ)(1 τ k)) = 1 + R(1 τ k ) h [ξ + (r δξ)(1 τ k )]k + (1 + R(1 τ k ))b In equilibrium, by nonarbitrage: h = 1 ξ [ξ + (r δξ)(1 τ k)] (ξk + b) 11 / 34
12 Model Preferences Standard additiveseparable preferences in consumption and hours: U(c, n) = c1 1/λ 1 1/λ χ n1+1/ψ 1+1/ψ Retired households gain utility from the bequest they will leave when they die: D(h ) = ϕ log(h ) Each generation consists of four types of agents with equal mass, that differ w.r.t. the time preference parameter β {β 1, β 2, β 3, β 4 } 12 / 34
13 Model Active household problem [ [ V (j, h, β, a, u) = max U (c, n) + βe u c,n,h V (j + 1, h, β, a, u ) ]] s.t.: c(1 + τ c ) + qh = h + Γ + g + Y N ( ( )) Y N nw (j, a, u) nw (j, a, u) = 1 τ ss τ l 1 + τ ss 1 + τ ss n [0, 1], h h, h 0 = 0, c > 0 13 / 34
14 Model Retired household problem [ ] V (j, h, β) = max U (c, n) + β(1 π(j))v (j + 1, h, β) + π(j)d(h ) c,h s.t.: c(1 + τ c ) + qh = h + Γ + g + Ψ h h, c > 0 14 / 34
15 Model Stationary Recursive Competitive Equilibrium 1. V (j, h, β, a, u), c, h, and n solve the household s optimization problem 2. Asset markets clear: [ξ + (r ξδ)(1 τ k )] (K + 1ξ ) B = h + Γ dφ 3. Labor and goods markets clear: N NR = n dφ N R = n dφ C + ξx + G = Y 4. Factor prices equal the marginal productivity of their respective factors 5. Both the government and SS budget balance 6. The assets of the dead are uniformly distributed among the living: Γ ω(j)dφ = (1 ω(j)) kdφ. 15 / 34
16 Calibration Preferences: η = 1 (inverse Frisch) as in Trabandt & Uhligh (2011), ψ = 1 (riskaversion) Wages: age profile of wages, ρ u = 0.34, and σ ɛ = 0.31 are set as in Brinca et al (2016) Log wage differences: a NRSK = 0.39, a NRUK = 0.29, a RSK = 0.10, to match the log wage differences between groups in 1980, given the the NR wage premium (0) Employment: p NRSK = 0.23, p NRUK = 0.17, p RSK = 0.18, to match weight in hours worked in 1980 Tech: σ = 0.83, ρ = 5.63, φ 1 = 0.52, φ 2 = Estimation as in Eden and Gaggl (2018). Capital depreciation set to Production function estimation 16 / 34
17 Calibration Table: Government and SS calibration Parameter Description Value τ c Consumption tax τ k Capital income tax θ 0 Tax level parameter θ 1 Tax progressivity parameter B/Y Government debt τ ss Employee SS tax τ ss Employer SS tax / 34
18 Calibration Calibration by SMM: L(β 1, β 2, β 3, β 4, h, χ, ϕ) = M m M d Table: Parameters Calibrated Endogenously Parameter Value Description ϕ 4.28 Bequest utility β 1, β 2, β 3, β , 0.903, 0.902, Discount factors χ 6.1 Disutility of work h 0.02 Borrowing limit 18 / 34
19 Calibration Table: Calibration fit Data moment Data Value Model value 65on/all w NR /w R n 1/3 1/3 Q 20, Q 40, Q 60, Q , 0.00, 0.04, , 0.00, 0.04, / 34
20 Experiments Table: Parameter shifts Parameter Description 1980 New SS τ c Consumption tax τ k Capital income tax θ 1 Tax level parameter θ 2 Tax progressivity parameter B/Y Government debt τ ss Employee SS tax τ ss Employer SS tax ξ Investment price p 1 NRS weight p 2 NRU weight p 3 RS weight / 34
21 Experiments Exercise: taxation & gov debt + Investment price Model is calibrated to match new parameters of the US economy 1. Calibrate taxes (labor, consumption, capital, SS) and debt 2. Calibrate drop in relative investment prices (30% drop) Results: 1. Model is able to replicate one third of the total observed increase in the posttax income Gini 2. nonroutine wage premium 3. progressivity 4. labor supply at the top of the income distribution 21 / 34
22 Experiments Exercise: progressivity Results: 1. 16% of the increase in the income Gini 2. 48% of total increase predicted by the model Exercise: IP Results: 1. 15% of the increase in the income Gini Markup model 2. 45% of the total increase predicted by the model 22 / 34
23 Experiments 23 / 34
24 Experiments 24 / 34
25 Future work How to model both capital/skill and capital/nonroutine complementarity? What is the reason behind the coexistence of these two seemingly independent premia? Refine experiment: introduce BGP and model the change from 1980 to new SS as an unexpected permanent shock to the growth rate of investment specific technological change 25 / 34
26 Data Source Inequality, taxes and prices: US Census Bureau, BEA National Account Tables and Ferriere and Navarro (2018) Employment and wages: US Census Bureau and Bureau of Labor Statistics Current Population Survey (CPS) Annual Social and Economic Supplement (ASEC) Population: Nonmilitary, noninstitutionalized individuals aged 16 to 70, working full year, full time in the previous year, excluding those selfemployed and those working in the farm sector. Note: results are unchanged if including workers not working full time or full year Occupation classification: Cortes et al (2016), based on Acemoglu and Autor (2011) consensus classification : Nonroutine: (i) Management, Arts and Sciences; (ii) Services (nurses, policemen, cooks, hairdressers, waiters) Routine: (i) Sales/Office; (ii) Natural resources and Construction; (iii) Production 26 / 34
27 Employment Employment to routine, unskilled employment Nonroutine, skilled Nonroutine, unskilled Routine, skilled / 34
28 Wage Premium Acemoglu and Autor (2011) method Step 1: yearly crosssectional regression of log weekly wages on occupation type, education categories, work experience, gender, race and interactions up to the forth order between education and experience Step 2: define gender/race/education/occupation groups and calculate the yearly weighted average wage as predicted for each group by the regression. Group weights are the average total labor supplied (hours worked) by each group across all years Step 3: the log wage premium is defined as the difference in log wages between two groups where the only difference between those two groups is either occupation or skill main 28 / 34
29 Production function estimation Eden and Gaggl (2018) method: factor shares imply the following system: ( ) ( ) ( ) ( sk,t φ2 ρ 1 Kt ln = ln + ln s NR,t 1 φ 2 ρ Nt NR ( ) ( ) ( ) ( sr,t φ1 σ 1 N R ln = ln + ln t 1 φ 1 σ Z t s Z,t ), (1) ), (2) which is estimated in two steps Shares for routine and nonroutine labor are obtained from estimates of CPS wage data, rescaled to match the BLS non farm labor share of income. Capital is the real stock of private and public nonresidential capital from the BEA fixed asset tables back 29 / 34
30 Markup Model 1.70 Average markup / 34
31 Markup Model Final goods firms buy intermediate goods from a continuum of producers and use technology: ( 1 C t + G t = 0 ( ) ( 1 1 X t = ξ t ) ɛ t c t (z) ɛ t 1 ɛt 1 ɛt dz 0 ) ɛ t x t (z) ɛ t 1 ɛt 1 ɛt dz where c t (z) and x t (z) are intermediate inputs of variety z. ɛ t is the time varying elasticity of substitution 31 / 34
32 Markup Model New profit maximization conditions for intermediate goods producers: µ t r t = [ A σ 1 ] 1 t Y σ t φ 1 Z µ t w NR t where µ t = = [ A σ 1 ] 1 t Y σ t φ 1 Z µ t w R t = (1 φ 1 ) ɛt ɛ t 1 ( A σ 1 t N R t ( ) 1 σ ρ ρσ 1 ρ t φ 2 K t σ ρ ρσ t (1 φ 2 ) ) Y 1 σ t is the timevarying markup ( 1 ) 1 ρ Nt NR 32 / 34
33 Markup Model Agents can now invest in the equity of intermediate goods firms. Return on equity: 1 + r e pe + d(1 τ k ) p e where p e is the price of equity and d are dividends New nonarbitrage condition 1 ξ (ξ + (r δξ)(1 τ k)) = pe + d(1 τ k ) p e New state variable of the consumer (in equilibrium) h = 1 ξ [ξ + (r δξ)(1 τ k)] (ξk + p e e + b) 33 / 34
34 Markup Model Results: Inequality is reduced instead of increased. Mechanism: Profits rise interest rates rise by the nonarbitrage condition and capital is crowded out by the value of equity wages (the risky component of income) are reduced and interest income (the riskfree component of income) increases back 34 / 34