Unemployment: Introduction

Similar documents
Week 8: Unemployment: Introduction. Generic Efficiency-Wage Models

LECTURE NOTES. Chapter 3: Classical Macroeconomics: Output and Employment. 1. The starting point

In the OLG model, agents live for two periods. they work and divide their labour income between consumption and

We can see from the graph above that the intersection is, i.e., [ ).

Department of Economics, University of California, Davis Ecn 200C Micro Theory Professor Giacomo Bonanno. Insurance Markets

Introduction to Macroeconomics

Chapter 5: The Keynesian System (I): The Role of Aggregate Demand

CHAPTER 3 INEQUALITIES. Copyright -The Institute of Chartered Accountants of India

CAUSAL INFERENCE. Technical Track Session I. Phillippe Leite. The World Bank

Admin. MDP Search Trees. Optimal Quantities. Reinforcement Learning

Differentiation Applications 1: Related Rates

This section is primarily focused on tools to aid us in finding roots/zeros/ -intercepts of polynomials. Essentially, our focus turns to solving.

Five Whys How To Do It Better

20 Faraday s Law and Maxwell s Extension to Ampere s Law

CS 477/677 Analysis of Algorithms Fall 2007 Dr. George Bebis Course Project Due Date: 11/29/2007

ChE 471: LECTURE 4 Fall 2003

Excessive Social Imbalances and the Performance of Welfare States in the EU. Frank Vandenbroucke, Ron Diris and Gerlinde Verbist

Phys. 344 Ch 7 Lecture 8 Fri., April. 10 th,

General Chemistry II, Unit I: Study Guide (part I)

Thermodynamics Partial Outline of Topics

General Chemistry II, Unit II: Study Guide (part 1)

AP Physics Kinematic Wrap Up

Physics 2B Chapter 23 Notes - Faraday s Law & Inductors Spring 2018

Ecology 302 Lecture III. Exponential Growth (Gotelli, Chapter 1; Ricklefs, Chapter 11, pp )

Determining Optimum Path in Synthesis of Organic Compounds using Branch and Bound Algorithm

Lecture 7: Damped and Driven Oscillations

Introduction to Spacetime Geometry

Assessment Primer: Writing Instructional Objectives

37 Maxwell s Equations

Medium Scale Integrated (MSI) devices [Sections 2.9 and 2.10]

A Few Basic Facts About Isothermal Mass Transfer in a Binary Mixture

INSTRUMENTAL VARIABLES

LHS Mathematics Department Honors Pre-Calculus Final Exam 2002 Answers

Preparation work for A2 Mathematics [2017]

SPH3U1 Lesson 06 Kinematics

Comment on John Taylor: Rules Versus Discretion: Assessing the Debate over the Conduct of Monetary Policy

Getting Involved O. Responsibilities of a Member. People Are Depending On You. Participation Is Important. Think It Through

This project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement number

Kinetic Model Completeness

Dead-beat controller design

Part a: Writing the nodal equations and solving for v o gives the magnitude and phase response: tan ( 0.25 )

Materials Engineering 272-C Fall 2001, Lecture 7 & 8 Fundamentals of Diffusion

CHAPTER 2 Algebraic Expressions and Fundamental Operations

Math Foundations 10 Work Plan

BASD HIGH SCHOOL FORMAL LAB REPORT

Revision: August 19, E Main Suite D Pullman, WA (509) Voice and Fax

Dispersion Ref Feynman Vol-I, Ch-31

[COLLEGE ALGEBRA EXAM I REVIEW TOPICS] ( u s e t h i s t o m a k e s u r e y o u a r e r e a d y )

Strategy and Game Theory: Practice Exercises with Answers, Errata in First Edition, Prepared on December 13 th 2016

Hypothesis Tests for One Population Mean

, which yields. where z1. and z2

Computational modeling techniques

x x

NUMBERS, MATHEMATICS AND EQUATIONS

UN Committee of Experts on Environmental Accounting New York, June Peter Cosier Wentworth Group of Concerned Scientists.

Compressibility Effects

Green economic transformation in Europe: territorial performance, potentials and implications

Part One: Heat Changes and Thermochemistry. This aspect of Thermodynamics was dealt with in Chapter 6. (Review)

CHEM Thermodynamics. Change in Gibbs Free Energy, G. Review. Gibbs Free Energy, G. Review

Lead/Lag Compensator Frequency Domain Properties and Design Methods

CHAPTER 24: INFERENCE IN REGRESSION. Chapter 24: Make inferences about the population from which the sample data came.

Human Capital in the Solow Model

SPECIMEN. Candidate Surname. Candidate Number

Department of Electrical Engineering, University of Waterloo. Introduction

February 28, 2013 COMMENTS ON DIFFUSION, DIFFUSIVITY AND DERIVATION OF HYPERBOLIC EQUATIONS DESCRIBING THE DIFFUSION PHENOMENA

Lab #3: Pendulum Period and Proportionalities

Lab 1 The Scientific Method

THE LIFE OF AN OBJECT IT SYSTEMS

Modelling of Clock Behaviour. Don Percival. Applied Physics Laboratory University of Washington Seattle, Washington, USA

Department: MATHEMATICS

Lecture 12: Chemical reaction equilibria

11. DUAL NATURE OF RADIATION AND MATTER

Reinforcement Learning" CMPSCI 383 Nov 29, 2011!

Preparation work for A2 Mathematics [2018]

ENSC Discrete Time Systems. Project Outline. Semester

Lecture 02 CSE 40547/60547 Computing at the Nanoscale

Lecture 20a. Circuit Topologies and Techniques: Opamps

5 th grade Common Core Standards

Professional Development. Implementing the NGSS: High School Physics

Biochemistry Summer Packet

Chem 163 Section: Team Number: ALE 24. Voltaic Cells and Standard Cell Potentials. (Reference: 21.2 and 21.3 Silberberg 5 th edition)

Bootstrap Method > # Purpose: understand how bootstrap method works > obs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(obs) >

Chapter 3 Kinematics in Two Dimensions; Vectors

Internal vs. external validity. External validity. This section is based on Stock and Watson s Chapter 9.

Lifting a Lion: Using Proportions

Computational modeling techniques

OTHER USES OF THE ICRH COUPL ING CO IL. November 1975

THE FOUNDATIONS OF DYNAMIC INPUT-OUTPUT REVISITED: DOES DYNAMIC INPUT-OUTPUT BELONG TO GROWTH THEORY?

A Quick Overview of the. Framework for K 12 Science Education

End of Course Algebra I ~ Practice Test #2

The steps of the engineering design process are to:

Instructional Plan. Representational/Drawing Level

k-nearest Neighbor How to choose k Average of k points more reliable when: Large k: noise in attributes +o o noise in class labels

1 The limitations of Hartree Fock approximation

Cambridge Assessment International Education Cambridge Ordinary Level. Published

Chemistry 20 Lesson 11 Electronegativity, Polarity and Shapes

EEO 401 Digital Signal Processing Prof. Mark Fowler

Activity Guide Loops and Random Numbers

Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeoff

Transcription:

Unemplyment: Intrductin 135 Unemplyment: Intrductin Natural vs. cyclical unemplyment Friedman s definitin f natural rate: the level that wuld be grund ut by the Walrasian system f general equilibrium equatins, prvided that there is [sic] embedded in them the actual structural characteristics f the labr and cmmdity markets, including market imperfectins, stchastic variability in demands and supplies, the cst f gathering infrmatin abut jb vacancies and labr availabilities, the csts f mbility, and s n. Let me emphasize that by using the term natural rate f unemplyment, I d nt mean t suggest that it is immutable and unchangeable. On the cntrary, many f the market characteristics that determine its level are man-made and plicy-made. Nte that natural unemplyment is due t micrecnmic factrs, largely in the labr market, nt level f macrecnmic activity Cyclical unemplyment = actual natural This is unemplyment due t the business cycle that we have studied Cyclical unemplyment reflects general excess demand r supply in the macrecnmy Natural-rate hypthesis: rate f inflatin has n effect n the natural rate and is nly crrelated with cyclical unemplyment Unemplyment tends t return t the natural rate in the lng run, s lng-run Phillips curve is vertical at natural rate But des prlnged high unemplyment raise the natural rate? Pssibility f hysteresis due t lss f jb skills by lng-term unemplyed Hysteresis culd arise if unins increase wages after recessin rather than allwing unemplyment t fall Natural rate is nt zer Hetergeneity amng wrkers and firms means that search is nntrivial Sme unemplyed wrkers and vacant jbs even if macrecnmy is in equilibrium Analgy t inventries waiting t be purchased and shppers lking fr gds Recent unemplyment fluctuatins Unemplyment rates in all majr cuntries rse frm abut 1973 t abut 1985 Rate in United States came back dwn t 5% r s Rate in Cntinental Eurpe stayed high

136 Unemplyment: Intrductin Their rate had been very lw befre 1973 (~2% in sme cuntries) Many cuntries have had unemplyment rates averaging 8 10% since 1973, with Spain ver 15% This has almst certainly been a rise in natural unemplyment Why? The labr-market institutins f Eurpe (and U.S.) were largely the same in the 1990s as they were in the 1960s U.S. and Eurpe had similar shcks, s that cannt explain different behavir Must be hw the different institutins respnded t similar shcks that wuld explain different unemplyment behavir Siebert and Nickell papers n reading list g int the evidence and explanatins in sme detail Mdeling natural unemplyment There are tw cmmn (and cmplementary) appraches t mdeling the natural unemplyment rate Excess-supply-equilibrium theries Why dn t wages fall when unemplyment is high? This categry f theries tries t explain why the queue f unemplyed wrkers kncking n the drs f firms lking fr jbs wuld nt push wages dwn t reabsrb thse wrkers Bradly speaking, there are several sets f explanatins here, f which we cnsider nly a few: Minimum wages Unin bargaining behavir Cntracts (in shrt run) Efficiency wages We will study Shapir-Stiglitz mdel f efficiency wages in detail as a representative frm this grup f mdels Search theries Emphasize the prcess f tw-sided jb search Matching mdels such as the ne we study in class examines hw wrkers and jbs are matched up with ne anther Can als mdel the search prcess mre explicitly Cyclical unemplyment Basically we usually rely n smething analgus t Okun s Law t explain the cnnectin between the utput gap and the natural unemplyment rate Okun argued in the 1970s that 3% higher utput crrespnded t abut 1% pint lwer unemplyment Mst evidence suggests that the number nw is clser t 2%

Generic Efficiency-Wage Mdels 137 Generic Efficiency-Wage Mdels Basic idea f efficiency wages: Raising a wrker s wage makes her mre prductive Mre effrt T keep jb? Why desn t firm make effrt a cnditin f emplyment and pay lwer wages? Imprved applicant pl Happier wrkers might be mre prductive Higher wage might increase health (in develping cuntries) Basic mdels Simple mdel f effrt: e ew Mre cmplex mdel: e ew, w, u Prductivity effect Y F el F el a Firm must ffer a higher wage than ther firms (w a ) in rder t get higher effrt, fr given level f unemplyment rate Culd be simplified t e ew w u wl Max : L ef el w 0 e LF el L 0 w w ew Slve tgether t get: 1: Set wage at level where elasticity f effrt with we respect t wage is unity Then F el w determines L e Increase in MPL wuld lead t higher L but nt higher w This is strngly cnsistent with data in a way that the RBC mdel des nt explain Hwever, if w a r u changed, then the ptimal wage wuld respnd This is ne justificatin fr the wage adjustment equatin that Rmer uses frm time t time in place f assuming that the wage clears the labr market Can all firms pay an efficiency wage? a,

138 Shapir-Stiglitz Mdel If all firms are symmetric, then all end up paying the same wage, s n individual firm pays a wage higher than thers (w = w a ) But driving up wage leads t a persistent excess supply f labr and unemplyment, which keeps wrkers wrking hard ut f fear f becming unemplyed: Unemplyment as a wrker-discipline device Shapir-Stiglitz Mdel Basic setup Shapir-Stiglitz mdel tries t get inside the e functin t mdel wrkers decisins abut hw hard t wrk Applicatin f dynamic prgramming: mathematical technique that macrecnmics use a lt A wrker can be in any f three states: E means she is wrking hard S means she is shirking U means she is unemplyed We analyze mvement between states in cntinuus time Hazard rate = instantaneus prbability (per year) f mving int r ut f a state E? S Pr[layff] = b U Pr[hiring] = a Pr[layff] = b Pr[firing] = q Emplyed wrker chses whether t be in E r S q is the penalty fr shirking in terms f a prbability f getting caught and fired In wrld f perfect mnitring f wrker perfrmance, firms can fire wrkers immediately and q If it is ttally impssible fr firms t mnitr wrkers, then q = 0

Shapir-Stiglitz Mdel 139 Instantaneus prbabilities f mving: Mvement can happen at any mment, but prbabilities are still expressed in per perid rate Intuitin based n frequency f layff pprtunities: Suppse the perid is ne year If ne can nly be laid ff at end f year, then prbability f still being emplyed after a year is 1 b 1 If ne can be laid ff at middle r end f year, then 1 1 b 2 If ne can be laid ff at end f any quarter: 1 1 b 4 If at end f any mnth: 1 1 b 12 If any day: 1 1 b 365 365 12 1 As pprtunities fr layffs becme cntinuus: lim 1 b Prbability that smene starting in E is still in E after t is Prbability that smene starting in S is still in S after t is 4 n Prbability that smene starting in U is still in U after t is t Wrking utility: U e utdt, with 0 wt if emplyed and shirking, and 0 u t b t e 2 n n b q t e a t e b e u t w t e if emplyed and wrking, u t if unemplyed Firm s prfit with L(t) wrking hard and S(t) shirking is t F el t w t L t S t Dynamic prgramming Fundamental underlying equatin f dynamic prgramming is the Bellman equatin, which relates t the lifetime expected utility f smene wh is currently in state i: 0 lim lim t state at 0 = t state at 0 = i t u t i dt e E t i i t 0 t 0 t0 Fr state E, the Bellman equatin is t t bt bt 1 0 E t e e w e e dt t 0 1 t bt bt e e E t e U t Interpretatin f expressins: Integral is utility gained ver t between time 0 and t

140 Shapir-Stiglitz Mdel Bracketed sum is expected utility at t given prbabilities f being emplyed and unemplyed Discunt factr in frnt bt e is prbability that wrker is still E at t given E at 0 w e 1 e bt is utility gained at each mment in state E is prbability f having been laid ff befre t (0) is the utility btained at t if unemplyed (laid ff) Discunt factr in frnt f secnd bracketed term discunts fr perid 0 t t Bracketed term is expected value f utility ver rest f life given E at time 0: b t e t is prbability still emplyed at t E is discunted rest-f-life value f utility at time t if still in state E b t 1 e t is prbability that wrker has mved t U by t U is discunted rest-f-life value f utility at time t if in state U Evaluating the definite integral: t bt w e bt w e b0 e w e dt e e t 0 b b w e bt w e bt w e e 1 e b b b Substituting int Bellman equatin: w e 1 b t t b t 1 b t E t e e e E t e U t b Bringing the E terms t the left-hand side: bt w e bt t bt E t1e 1e e 1e U t b t bt w e e 1 e E t U t b t b 1 e Taking the limit as t 0, bth the numeratr and denminatr f the expressin in frnt f U g t zer. Applying L Hôpital s Rule, we can shw that t bt t bt e 1 e e b e b lim lim 1 e b e b t0 bt t0 bt

Shapir-Stiglitz Mdel 141 Thus, E we b b U, r b E webu web E U E This last equatin has a useful interpretatin that we will apply t get the values f the ther states withut all the math: The left-hand side is the utility return n being in state E This is the discunt rate times that capital value f being in state E Analgus t multiplying an interest rate (f return) times the capital value f an asset t get an annual flw f returns The first term n the right is the dividend earned while in state E Each instant that the individual is in E he r she gets w e The last term n the right is the expected capital gain frm being in state E Prbability f changing state is b Change in capital value if state is changed is U E < 0 Expected change in value is the prduct f the prbability f changing state times the change in value if yu d change state Can apply the utility return methd t get S and U (r yu can d the lengthy derivatin if yu want): S w b qu S 0 a, assuming that the individual wrks rather than shirks with U E U hired. (It desn t matter, because we are ging t set E = S as a cnditin fr equilibrium anyway.) Summarizing the key relatinships: E webu E S wbqu S a U E U Decisin-making and equilibrium N shirking Firm will always pay a wage high enugh t keep wrkers frm shirking, because if wrkers shirk then the firm incurs wage cst but gets n utput

142 Shapir-Stiglitz Mdel Assume that wrkers wrk if and nly if E S, in ther wrds, they wrk if the values are equal Setting E S, E we b w bq e U 0. q E U E U Firms set wage high enugh that wrking is mre desirable than being unemplyed, s wrkers have smething t lse if they are fired r laid ff Slving fr the wage frm the E equatin: w e E be U e be U U e ba, because a e w e ab. q E U U E U Wage that firms must set t assure n shirking depends n disutility f wrking hard ( e ), prbability f being caught shirking (q), prbability f being rehired if unemplyed (a), and b and. Equilibrium In steady state with cnstant unemplyment rate, flw f wrkers frm E t U must balance flw frm U t E: If there are N firms and each ne hires L wrkers, then ttal emplyment is NL Suppse that the ttal labr frce is fixed at L Number unemplyed is L NL Balancing flws are bnla L NL, s bnl a and L NL L 1 ab b b, where u is the unemplyment rate L NL u Substituting int the n-shirking wage, L e we b is the n-shirking cnditin L NL q Firms must pay a wage at least equal t this level in rder t avid shirking

Shapir-Stiglitz Mdel 143 1 Can be written as w, which is a rectangular hyperbla in the u unemplyment rate Graphing w against NL gives: w NSC L s Emplyment = NL Effects f parameters n NSC: e NSC L NSC b NSC q NSC q means that shirkers get caught immediately and NSC becmes backward L at e and L : Wrkers all wrk if wage is greater than r equal t e With finite q, the NSC is like a supply curve fr labr, telling firms hw much they must (cllectively) pay in rder t get a certain number f wrkers t wrk hard Labr demand Fr individual firm, FeL wl L Prfit-maximizatin: ef elw 0, given the w n the NSC

144 Shapir-Stiglitz Mdel w, which is e declining in L, s labr demand curve slpes dwnward as usual Labr-demand curve fr each f N firms cmes frm F el Having t ffer a higher efficiency wage means it is nly prfitable t hire a smaller number f wrkers w NSC L s L d U Emplyment = NL If firms had perfect infrmatin abut shirkers s q =, then equilibrium ccurs at full emplyment, where L d = L s With mnitring csts, equilibrium ccurs where L d = NSC and unemplyment is the gap L NL Title f paper: Unemplyment as a wrker discipline device N firm pays higher wage than any ther, s efficiency wage in aggregate means wrking hard because getting fired mean being unemplyed (nt ging t a lwer-wage firm) Issues Bnding Hw abut having emplyee pst a bnd a hiring that is frfeited if he shirks? This wuld allw firms t hire the entire labr frce at the equilibrium wage (n unemplyment) Enfrcement might be difficult: firm has incentive t claim shirking and seize bnd, even if wrker is nt shirking Wrkers might nt be sufficiently liquid t pay up frnt

Search and Matching Mdel 145 We see this t sme extent in structure f labr cmpensatin Delayed vesting f retirement plans: Sme wrker benefits are nt earned until wrker has cmpleted a certain number f years Rising wage scale ver time Mre senir wrkers may nt be mre prductive, but by ffering higher wages t them it encurages wrkers t avid firing (and quitting) Csts f mnitring One can imagine a mdel in which firms chse between paying an efficiency wage and incurring csts f mnitring mre clsely A decline in mnitring csts (due t better surveillance techniques, perhaps) wuld lwer wage and increase emplyment Culd this help explain blue-cllar wage stagnatin since 1980s? Search and Matching Mdel Basic mdel setup Wrkers and jbs are hetergeneus Matching is a time-cnsuming prcess invlving matching vacant jb with unemplyed wrker Wrkers can either be emplyed/wrking r unemplyed/searching: There is mass ne f wrkers with fractin E emplyed and U unemplyed: E U 1 In this versin f the mdel, wrkers utility is just earnings. There is n effect n utility frm a gd match with a jb. When a wrker is emplyed, he r she prduces utput at cnstant flw rate y and earns a wage f w(t) When a wrker is unemplyed, he r she receives a benefit f b > 0 (either unemplyment benefit payments r leisure utility, r bth) Firms have a pl f jbs, sme f which (F) are filled and sme f which () are vacant A firm incurs a cnstant flw cst c < y f maintaining a jb, whether it is vacant r filled This is a simplificatin, but think abut all f the verhead persnnel csts f keeping track f emplyees and the search csts f hiring fr a new ne We just assume that they are the same (fr simplicity) t y wt c fr each filled jb There is n prductivity bnus fr a gd fit with wrker This (alng with lack f utility benefit) means that we can t really d any welfare analysis using this versin f the mdel

146 Search and Matching Mdel Better matching will decrease unemplyment, which is presumably beneficial, but we d nt accunt fr better jb matches t c fr each vacant jb acancies/jbs are cstless t create (but expensive t maintain) Bth wrkers and firms have a discunt rate f r Matching functin matches members f the pl f unemplyed wrkers with members f the pl f vacant jbs: Mt MUt, t, with MU 0, M 0 Emplyment matches end (thrugh retirement, firm cntractin, etc.) at a cnstant rate, s Et MUt, tet Matching functin Matching functin is like a prductin functin, but it need nt have cnstant returns t scale: Thick-market effects may make it easier fr wrkers/jbs t find ne anther if there are many ut there: increasing returns t scale Cngestin effects might make it mre difficult t find ne anther if jb-search resurces are cngested: decreasing returns t scale We assume CRTS and Cbb-Duglas marching functin: 1, M U t t ku t t, with k being an index f the efficiency f jb search The jb-finding rate a(t) (same as Shapir-Stiglitz a) is the rate at which unemplyed wrkers find jbs: MUt, t / Ut With CRTS:, with t t and mt M1, t Ut at m t is an indicatr f labr market lseness: higher means mre jb vacancies r fewer unemplyed wrkers, making it easier fr wrkers t find jbs at m t k With Cbb-Duglas: The jb-filling rate (t) is the rate at which vacant jbs are filled:, / t MUt t

Search and Matching Mdel 147 With Cbb-Duglas: t t t m k Nash bargaining There is n market wage because each individual and jb are unique The wage is set t divide up the mutual gains frm making the match, with share ging t the wrker and (1 ) ging t the firm The value f will depend n institutins in the ecnmy (and culd depend n market cnditins) 1 Decisin-making Dynamic prgramming: What is the value t wrker f being in state E r in state U? What is the value t firm f having filled jb F r vacant jb? Here, we cnsider the pssibility that the ecnmy may nt always be in the steady state, s there can be a change in the value i ver time, which adds (if psitive) t the benefit f being in that state (like a capital gain) Fr the wrker: re t w t E t E t U t ru t b U t a t E t U t Fr the firm: rf t y w t c F t F t t r t c t t F t t Equilibrium cnditins In the steady state, all f the terms are zer, s we will nw neglect them Als, in steady state, bth a and are cnstant and must be zer 1 Evlutin f number unemplyed is E t Ut t Et in steady-state Nash bargaining: Suppse that the ttal gain frm match is X, f which wrker gets X and firm gets (1 )X

148 Search and Matching Mdel E U X 1, s X F and t t t t E t U t F t t X 1 1 E U F acancies are cstless t create: t 0 Slutin Slve mdel in terms f E and Subtracting U frm E yields r t twtb at t t E U E U, r w b r E U a Ding the same t F and gives F y w r Frm the Nash bargaining cnditin: w b yw, ar 1r ar w b yb a 1 r As a benchmark example, suppse that b = 0 (n unemplyment benefits), a = (jb-finding rate = jb-filling rate), and = ½ (bargaining shares are equal) 1 2 1 ar In this case, w y y. 2 a r Wrkers get half f their prduct and firms get half Higher means wrkers get higher wage Higher b means wrkers get higher wage Higher a r lwer means wrkers get higher wage alue f vacancy: r c F y w c r 1 c yb a r 1

Search and Matching Mdel 149 0, 1 E M U au a E E, s E a, which is increasing in E 1 E 1, 1 1 EM U ku k E, s 1 1 1 1 k E E 1 1 1 M / k E 1E is decreasing in E because < 1 Free creatin f vacancies implies that = 0 in steady state, s 1E r c y b0 ae1 Er When E = 1, = 0 (it takes frever t fill a vacancy because there are n unemplyed wrkers) r c because the flw f returns n vacancy are perpetually the cst f maintaining it When E 0, a = 0 and, s big fractin appraches ne and r y b c r y b c r (E) 0 E* E 1 c Curve f r as a functin f E has shape shwn abve. Equilibrium ccurs where value f additinal vacancies is exactly zer, at E*

150 Natural Unemplyment: Empirical Evidence Effects f changes in parameters: y r k r b r curve shifts curve shifts curve shifts Applicatins Sectral shifts When the ecnmy is underging a lt f structural shifts frm ne industry/regin t anther, k may fall as matching becmes harder This wuld raise equilibrium unemplyment in the mdel Active labr-market plicies Scandinavian cuntries have had gd success with plicies t facilitate jb matching This wuld be an increase in efficiency f matching s k increases (U.S. effectiveness nt s gd) Nt again the absence f strng welfare criteria in this mdel Nt accunting fr utility r prductivity f imprved matches makes it difficult t assess plicy implicatins f, fr example, unemplyment benefits Natural Unemplyment: Empirical Evidence Based n Nickel and Siebert s papers in 1997 JEP Ecnmists have been studying the high natural unemplyment rate in Eurpe intensively since abut 1990 There is n single, simple explanatin Fr example, Spain and Prtugal have quite similar institutins, but Spanish unemplyment is twice as high

Natural Unemplyment: Empirical Evidence 151 Eurpean institutins were similar in 1960s when unemplyment was very lw Candidates that are usually discussed Emplyment prtectin Firms that can t fire wn t hire Cllective bargaining cverage Generus unemplyment benefits Tax wedge Lack f wage flexibility Is Eurpean unemplyment the mirrr image f US wage stagnatin? In U.S., lw-skill wages have fallen; in Eurpe, lw-skill emplyment has stagnated General lack f flexible labr market Lw churn Lw mbility Exceptins t the rule Netherlands undertk flexible labr-market refrms that drpped unemplyment a lt Germany is nw ding better, althugh absrptin f East increased natural rate Sweden has used active labr-market plicies effectively