2 = Labour Supply = The matching function Flashcards
What is a search friction?
impediments to a match between the employer and the person seeking employment = reasons why unemployment may exist / empty vacancies
How is a market with search frictions different to the neoclassical market?
- not complete flexibility
- cant choose the hours you want to work - there are job contracts
- you have to accept or decline job
- you only find job offers intermittently
What are the factors that determine search frictions - frequency you learn about jobs?
- what assumption has to be made
assume the only important job quality is wage and worker ignores culture, commute, holidays, hours
- state of the labour market = how easy it is to get a job = productivity/unemployment
- efficiency of job search = how easy it is to find a job = internet/recruitment agency
What is evidence of frictions in labour market
- reasons the MS and MD dont clear
- US labour market 1990-2011
- Help wanted index and unemployment rates
- see that vacancies and unemployment coexists = implies market failure
What are the reasons why unemployment and vacancies coexist?
- geography
- labour S and labour D exist in different places - skill specialisation
- dont have the right skills - lack of information
- dont know about all of the jobs
How do we account for these factors (unemployment and vacancies) in our search model?
using a matching function
What is a matching function?
Mathematical relationship that maps job seekers and vacancies into the number of matches made in a period of time
- output = number of workers hired per unit of time
- inputs = number of unemployed / number of vacancies
How is the matching function influenced by search frictions?
the outcome of the matching process is influenced by geography, skills, lack of information
the more frictions present = the lower the number of workers hired
How do you write the matching function?
Ht = m( Ut, Vt)
Ht = total number of per unit of time
Ut = number of unemployed per unit of time
Vt = number of vacancies per unit of time
rewriting the matching function
- in terms of labour force
assume CRS
Ut/L = ut = unemployment rate
vt = vacancy rate
ht = hiring rate
ht = m(ut,vt)
What is market tightness?
and equation
describes the state of the labour market - how easy it is to get a job
Ot = vt/ut
tightness = vacancies/unemployed
if market tightness is > 1 (high)
vt > ut
easy to get a job
lots of vacancies for every unemployed person
What is the probability a worker finds a job in a given unit of time?
p(Ot) = ht / ut
- hired / unemployed
What is the probability a firm finds a worker in a given unit of time?
q(Ot) = ht / vt
- hired / vacancies
How does probability of being hired and probability of filling a vacancy relate to each other?
p(Ot) = Ot * q(Ot)
probability of finding a job = market tightness * probability of filling vacancy