T AX S MOOTHI NG I N F RI CTI ONAL L ABOR M ARKETS D ECEMBER 1 3 , 2 0 1 2
Introduction T AX S MOOTHI NG P P = − τ ∀ n MRS (1 ) MPN t t t t Keep w edges ( roughly) the sam e size Q Q Period t Period t + 1 Ram sey w ants to keep these w edges constant Result and intuition depend on neoclassical view of labor m arkets Labor tax is the only w edge tax-sm oothing is w edge-sm oothing Question: I s tax sm oothing optim al from the point of view of the m odern theory of frictional labor m arkets? December 13, 2012 2
Introduction T AX S MOOTHI NG I n neoclassical view , MPN = MRT ( betw een labor and consum ption) = − τ ∀ n MRS (1 ) MRT t t t t Think in term s of transform ation frontier in w hich every object can be view ed as either an input to or an output of the technology to w hich it is associated Ram sey w ants to keep these w edges constant Result and intuition depend on neoclassical view of labor m arkets Labor tax is the only w edge tax-sm oothing is w edge-sm oothing Question: I s tax sm oothing optim al from the point of view of the m odern theory of frictional labor m arkets? December 13, 2012 4
Introduction L ABOR F ORCE P ARTI CI PATI ON I ntroduce endogenous labor supply ( participation) Conventional em pirical w isdom Cyclical LFP fluctuations “sm all” Basis for typically abstracting from participation in m atching m odels Volatility of LFP relative to that of GDP ≈ 0.20 1 9 6 1 -2 0 0 7 December 13, 2012 5
Model Basics O VERVI EW OF M ODEL I nfinitely-lived representative household, m easure one of m em bers Em ployed m em bers Full consum ption insurance – standard in DSGE labor search Unem ployed m em bers m odels Mem bers outside the labor force ( “leisure”) I ncom pleteness of governm ent debt m arkets NOT driving our results ( Aiyagari et al ( 2 0 0 2 JPE ) ) Exogenous stochastic governm ent spending Financed via labor incom e taxation and one-period real state-contingent debt Governm ent provides unem ploym ent benefits Governm ent provides vacancy subsidies For com pleteness of tax instrum ents ( Ram sey issue) Labor m arket w ith m atching frictions and w age- setting frictions Only an extensive labor m argin, no intensive labor m argin Tim ing: “instantaneous production” December 13, 2012 7
Model Basics O VERVI EW OF M ODEL Unem ployed are the unsuccessful searchers: ue t = ( 1 - p t ) s t p t = probability an individual finds a job and begins w orking im m ediately December 13, 2012 8
Model H OUSEHOLD O PTI MI ZATI ON Maxim ize expected lifetim e utility disutility of em ploym ent + s.t . unsuccessful search Flow budget constraint Baseline analysis: set τ d = 1 no m easure n earn after- m easure ue = ( 1 - p ) s receive ue benefit χ tax w age incom e profit- taxation issues driving results ( governm ent financed) = − ρ + Perceived LOM for n (1 ) n s p − em ploym ent ( “instantaneous t t 1 t t production”) ( exogenous) m easure of flow of new em ploym ent relationships = pre-existing em ploym ent m easure of searchers s t x probability a relationships term inate searcher successfully lands a job FOCs w ith respect c t , n t , s t , b t December 13, 2012 11
Model H OUSEHOLDS Household LFP condition ( think of as labor supply condition) MRS betw een lfp t and c t = expected payoff of searching Unem ploym ent benefit ( w ith probability 1 – p t ) After-tax w age + continuation value ( w ith probability p t ) To recover standard labor supply function ( e.g., RBC) 1 . ρ = 1 ( all em ploym ent relationships term inate at end of every period) 2 . p = 1 ( probability a searcher finds a job) 3 . χ = 0 ( no ue benefit because no notion of “ue”) December 13, 2012 13
Model F I RMS Production Requires a m atched job-w orker pair: posting cost γ per vacancy I ndividual job i produces y it = z t Aggregate output y t = n t z t ( sym m etry across jobs) Dynam ic profit-m axim ization problem Ensures com pleteness of tax instrum ents = − ρ + Firm ’s perceived LOM for total n (1 ) n v q − t t 1 t t em ploym ent ( “instantaneous hiring”) ( exogenous) m easure of flow of new em ploym ent relationships = pre-existing em ploym ent # job-openings x probability an opening relationships term inate attracts a searching individual Vacancy-creation condition cost of posting vacancy benefit of posting vacancy ( inclusive of subsidy or tax) December 13, 2012 16
Model L ABOR M ARKET Labor-m arket tightness θ t = v t / u t I m portant aggregate variable in m atching-based m odels Matching probabilities p and q depend only on θ given CRTS m atching Key statistic for m atching efficiency = ψ ξ − ξ 1 m s v ( , ) s v Matching function t t t t = − ρ + n (1 ) n m s v ( , ) LOM for aggregate em ploym ent − t t 1 t t Nash bargaining over w age paym ent solves Although m ain results also hold if w e discard Nash bargaining and assum e ad-hoc real w age rigidity: Gain to household Value to firm of of successfully hiring another form ing another w orker em ploym ent w t = w bar in every period t relationship December 13, 2012 19
Model G OVERNMENT AND R ESOURCE F RONTI ER Exogenous governm ent spending financed via Labor incom e tax One-period state contingent real debt Governm ent provides unem ploym ent benefits Rather than assum ing χ is “hom e production” Resource constraint + + γ = c g v z n t t t t t = govt budget constraint + hh budget constraint Assum ing χ is govt-financed allow s it to drop out of resource constraint Makes m odel m ore com parable to existing Ram sey m odels Precise nature of χ ( ue benefit? hom e production? value of leisure?) not typically specified in DSGE m atching m odels Our m odel articulates both ue benefit and value of leisure December 13, 2012 22
Model P RI VATE- S ECTOR E QUI LI BRI UM { } ∞ θ c n s w , , , , , R b , Stochastic processes that satisfy = t t t t t t t t 0 Household’s bond Euler equation Vacancy-creation condition Labor force participation condition Nash w age outcom e = − ρ + n (1 ) n m s v ( , ) Law of m otion for em ploym ent − t t 1 t t Governm ent budget constraint ( key condition in Ram sey m odels) + + γ = c g v z n Resource constraint t t t t t { } ∞ g z τ τ n s , , , Given processes t t t t = 0 t Standard conditions in basic Ram sey m odels December 13, 2012 23
E fficiency M ATCHI NG E FFI CI ENCY Social Planner s.t. + + γ = c g v z n Resource constraint t t t t t = − ρ + Aggregate LOM for n (1 ) n m ( s , v ) − t t 1 t t total em ploym ent FOCs ( consider determ inistic case) I ntertem poral Efficiency Condition. Static Efficiency Condition. “Efficient Vacancies Condition” “Efficient Participation Condition” Can instead derive directly off transform ation frontier of Can instead derive directly off transform ation m odel. frontier of m odel. December 13, 2012 26
E fficiency M ATCHI NG E FFI CI ENCY Efficiency characterized by = Static MRT t = I ntertem poral MRT t Static Efficiency Condition. I ntertem poral Efficiency Condition. Can instead derive directly off transform ation Can instead derive directly off transform ation frontier of frontier of m odel. m odel. Hypothesis based on Ram sey theory: stabilizing or closing any w edges in THESE efficiency conditions is optim al Contribution to understanding efficiency in DGE m odels w ith “entry” m argins I MRT in search-theoretic m onetary m odels: Aruoba and Chugh ( 2 0 1 0 JET ) I MRT in endogenous product variety fram ew ork: Chugh and Ghironi ( 2 0 1 2 ) December 13, 2012 28
E xogenous-Policy Analysis C ALI BRATI ON Baseline calibration So that exogenous policy ( non-Ram sey) equilibrium broadly m atches U.S. labor m arket fluctuations Preferences and key param eters Participation ( labor supply) elasticity ( ι = 0 .1 8 ) Low w orker bargaining pow er ( η = 0 .0 5 ) The tw o key param eters of Hagedorn and Manovskii High unem ploym ent benefit ( 9 8 % of real w age) ( 2 0 0 8 AER ) calibration Rest of param eters, m atching-related and otherw ise, standard β = 0 .9 9 ρ = 0 .1 0 ξ = 0 .4 0 AR( 1 ) param eters for LOMs for TFP and governm ent spending Etc. December 13, 2012 30
Results D YNAMI CS Exogenous Policy Ram sey Data Benchm ark Gertler and Trigari Calibration Calibration ( 2 0 0 9 JPE ) 0 % HM and HM Hosios Mean 1 1 % 2 2 % 2 2 % Labor Tax Rate Rel SD 5 .6 0 1 .4 1 .4 Market Rel SD 1 .1 1 .1 1 0 .9 1 1 .3 tightness ( θ ) Vacancies Rel SD 1 .3 1 .3 6 .9 6 .3 Unem ploym ent Rel SD 1 .4 1 .4 5 .4 5 .2 LFP Rel SD 0 .1 3 0 .1 3 0 .2 0 0 .2 0 Real w age Rel SD 0 .5 0 0 .2 8 0 .5 2 Static w edge SD ( % ) 0 .0 8 0 2 2 .9 I ntertem poral SD ( % ) 0 0 1 2 .3 w edge December 13, 2012 33
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