Iourii Manovskii
Assistant Professor of Economics at the
Published
Papers:
Joint with
Gueorgui Kambourov,
Review of Economic Studies, 76 (2) April
2009, pp. 731-759.
[Extended (but somewhat different) working paper
version available here]
In
this paper we argue that wage inequality and occupational mobility are
intimately related. We are motivated by our empirical findings that human
capital is occupation-specific and that the fraction of workers switching
occupations in the
Joint with
Gueorgui Kambourov,
International Economic Review, 50 (1)
February 2009, pp. 63-115.
We
find that returns to occupational tenure are substantial. Everything else being
constant, 5 years of occupational tenure are associated with an increase in
wages of 12% to 20%. Moreover, when occupational experience is taken into
account, tenure with an industry or employer has relatively little importance
in accounting for the wage one receives. This finding is consistent with human
capital being occupation specific.
Joint with
Marcus Hagedorn,
American Economic Review, 98(4),
September 2008, pp. 1692-1706.
[Extended working paper version available here]
Recently,
a number of authors have argued that the standard search model cannot generate
the observed business-cycle-frequency fluctuations in unemployment and job
vacancies, given shocks of a plausible magnitude. We propose a new calibration
strategy of the standard model that uses data on the cost of vacancy creation
and cyclicality of wages to identify the two key parameters –- the value
of non-market activity and the bargaining weights. Our calibration implies that
the model is consistent with the data.
Joint with
Gueorgui Kambourov,
International Economic Review, 49 (1)
February 2008, pp. 41-79.
We
document and analyze the high level and the substantial increase in worker
mobility in the United States over the 1968-1997 period at various levels of
occupational and industry aggregation. This is important in light of the recent
findings in the literature that human capital of workers is largely occupation-
or industry-specific. To control for measurement error in occupation and
industry coding, we develop a method that utilizes the Retrospective
Occupation-Industry Supplemental Data Files, newly released by the Panel Study
of Income Dynamics. This allows us to obtain the most reliable estimates of
occupational and industry mobility levels available in the literature. We
emphasize the importance of these findings for understanding a number of issues
such as the changes in wage inequality, aggregate productivity, job stability,
and life-cycle earnings profiles.
Joint with Gueorgui Kambourov, U. of Toronto and
Irina Telyukova, U. of California San Diego
In
Frontiers in Family Economics, Volume 1, edited by Peter Rupert, pp.
217-256, 2008. Emerald Group Publishing Limited,
We study trends in occupational and geographic
mobility of single and married men and women in the
Research
Papers:
August 2008
Joint with Hyeok Jeong,
We
propose and estimate a model in which changes in the demographic composition of
the labor force may affect the returns to labor market experience. We consider
workers as providing two distinct productive services - physical effort, or
``labor,'' and services of the skill accumulated with labor market experience,
or ``experience.'' The key element in the model is the aggregate production
function that allows for complementarity between the appropriately measured
aggregate stocks of labor and experience. The parameters of the aggregate
technology are identified by estimating individual earnings equations that
consistently aggregate. Both time-series and cross-sectional data confirm
strong experience-labor complementarity. We find that the observed demographic
changes that drive the aggregate experience to labor ratio account nearly perfectly
for the substantial changes in experience premium over time.
April 2009
Joint with
Marcus Hagedorn,
We
introduce ex-ante heterogeneity between workers and two technology shocks,
neutral and investment-specific, as the driving forces into the basic
Mortensen-Pissarides search and matching model. The calibrated model is
simultaneously consistent with a strong response of labor market variables to
cyclical fluctuations in productivity and a relatively weak response to various
policy changes (e.g., taxes) found in cross-country data. The model also
matches the evidence that countries with higher tax rates have higher aggregate
productivity, lower skill premia, and higher unemployment rates among both
high- and low-skilled workers. The key mechanism that allows us to achieve
these results is that aggregate and group-specific productivities in our model
are endogenous and respond to changes in policy.
August 2009
Joint with
Marcus Hagedorn,
We
consider a model with on-the-job search where current wages depend only on
current aggregate labor market conditions and match-specific idiosyncratic
productivities. We nevertheless show that the model replicates findings which
have been interpreted as evidence against a spot wage model. Past aggregate
labor market conditions such as the unemployment rate at the start of the job,
the lowest unemployment rate since the start of a job, or the number of outside
job offers received since the start of the job have explanatory power for
current wages since these variables are correlated with procyclical match
qualities. The business-cycle volatility of wages is higher for newly hired
workers than for job stayers since workers can sample from a larger pool of job
offers in a boom than in a recession. Using NLSY and PSID data, we find that
the existing evidence against a spot wage model is rejected once we control for
match-specific productivity as implied by our theory.
August 2009
Joint with
Marcus Hagedorn,
We
consider several shortcomings of the Mortensen-Pissarides model emphasized in
the literature. The productivity-driven model predicts that labor productivity,
defined as the ratio of output to employment, is strongly correlated with
unemployment, vacancies and wages whereas these correlations are much weaker in
the data. We first document that the size of these discrepancies between the
data and the model becomes substantially smaller if employment data from the
Current Population Survey is used in measuring productivity instead of the
commonly used employment data from the Current Employment Statistics. Second,
we show that incorporating time to build and a stochastic value of home
production helps reconcile the quantitative performance of the model with the data.
June 2005
Joint with
Gueorgui Kambourov,
We
document a significant flattening of life-cycle earnings profiles for the
successive cohorts of male workers entering the labor market since the late
1960s. Further, we provide evidence on the steepening in the profiles of
earnings inequality and an upward shift in the profiles of occupational
mobility for more recent cohorts. We develop a theory that relates these
developments and study quantitatively what fraction of the change in the
life-cycle profiles of earnings and earnings inequality is accounted for by the
economic forces that drive the increase in occupational mobility. Preliminary
results indicate that the increase in the variability of productivity shocks to
occupations coupled with the increase in the rate of idiosyncratic destruction
of occupational matches from the 1960s to the 1990s, may account for all these
observations. The theory we propose is consistent with other facts
characterizing the changes in the labor market, such as a sharp increase in
cross-sectional wage inequality and the increase in the transitory variability
of earnings.
March 2006
Joint with
Gueorgui Kambourov, University of Toronto and Miana Plesca, University of
Guelph
The
rapidly growing literature studying the returns to firm and government provided
training has made a striking observation. Returns to firm-sponsored training
are positive and large while returns to government-sponsored training are low
or even negative. This has sparked a lot of research interest in studying why
government-sponsored training is so inefficient. Policymakers are worried
whether firms provide a sufficient amount of training given that firm-sponsored
training is so beneficial and the government has little direct control over it.
In this paper we re-evaluate the motivating evidence. We show that there is a
clear selection issue overlooked by the existing literature. In particular, a
large fraction of the participants in government sponsored training are occupation
switchers, while most of the participants in firm-sponsored training are
occupation stayers. Since a switch of an occupation involves a substantial
destruction of human capital, the associated decline in wages needs to be
accounted for. Once we do this, the returns to firm and government sponsored
training look quite similar.
November 2002
I
show that, in the absence of complete insurance markets, progressive taxation
of labor income may provide productivity and welfare gains as compared to a
revenue-equivalent proportional tax. In order to increase income in the future,
individuals have to forgo income today by accepting lower wages while accumulating
human capital or when destroying specific human capital in order to build it
elsewhere. I first show analytically that a progressive tax system encourages
people to make these temporary sacrifices despite the increased tax burden when
wages are high. Next, I measure the quantitative importance of this channel in
a calibrated general equilibrium model.
April 2009
Joint with
Gueorgui Kambourov,
The
monthly Current Population Survey (CPS) and its Annual Demographic March
supplement are the leading sources of data on worker reallocation across
occupations, industries, and firms. Much of the active current research is based
on these data. In this paper we contrast the (March) CPS with the Retrospective
Occupation-Industry Supplemental Data Files from the Panel Study of Income
Dynamics, as sources of data for measuring the dynamics of worker mobility. We
find that (March) CPS data is characterized by a substantial amount of noise
when it comes to identifying occupational and industry switches. Next, we argue
that March CPS data provides a poor measure of annual occupational mobility.
Instead, it likely measures mobility only over a much shorter period. Finally,
we show that the (changes in) the procedure to impute missing data have a
dramatic effect on the interpretation of the CPS data in, e.g., the trend in
occupational mobility.
Work in Progress:
The U-Shapes of Occupational Mobility (with Philipp Kircher and Fane Naja Groes)
Fragility:
A Quantitative Analysis of the
Partnerships (with Elena Krasnokutskaya and Ludwig Ressner)
Pyramids (with Guillaume Vandenbroucke)
The Cyclical Behavior of Worker Reallocation (with Marcus Hagedorn and Gueorgui Kambourov)
Worker
Mobility in the
Transitional Dynamics of Transitional Economies: Why are they so Different? (with Irina Telyukova)
Temporarily
Abandoned Projects:
Ends vs. Means: Consequentialism in Social Choice Theory (with Veeresh Narain)
General
Relativity and the Heterogeneity of Saving Rates
Finance and
Growth in the Long Run: Schumpeter Might Be Wrong?