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Explaining CrossCountry Income Differences

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Title: Explaining CrossCountry Income Differences


1
Explaining Cross-Country Income Differences
  • By
  • Bao Lee
  • Jiyoung Jang

2
Two Approaches
  • .

Growth Regressions
Quantitative Theory
Effects of Policy on Disparity
Effect of Policy on Growth
Policies Distorting Investment
Policies in a Two Sector AK Model
Other Policies
Policies in a RD Model
3
  • .

Two Growth Models
An Exogenous Growth Model
An Endogenous Growth Model
4
Quantitative Theory
  • Q How much of the cross-country differences in
    income levels and growth rates can be explained
    by differences in particular economic policies?

5
  • First some information
  • Disparity ratio of GDP per worker of the MOST
    productive countries to the LEAST productive
    countries
  • Data most productive countries are 30 times that
    of least productive

6
Effects of Policy on Disparity
  • Q how much of this difference is due to policies
    such as taxes on investments, inefficient
    government production, labor market restrictions,
    and granting of monopolies
  • Use explicit formulas to show, under certain
    assumptions, that measured differences in
    policies imply income disparity

7
Policies Distorting Investment
  • Using a two-sector NGM (consumption goods and
    investment goods)
  • Representative HHs maximizes
  • SßtU(Ct)
  • s.t. Ct ptXt rtKt wtLt, t0
  • p-price of relative price of investment
  • L-constant labor input

8
  • Law of motion
  • Kt1 (1-d)Kt Xt
  • Capital goods can be allocated to either sector.
  • Consump. max C-rKc-wLc
  • s.t.
  • Investment max pX-rKx-wLx
  • s.t.
    (? ?)
  • AcAx

9
  • Thus relative productivities is (?)

10
  • For all values of ? and Lx/L, the ratio (?) will
    exceeds 1
  • Estimates of
  • suppose and
  • If then

11
  • If then
  • Q What fraction of the productivity gap should
    be attributed to this model?

12
  • Taking the log of productivity in model and
    divide by log of productivity in data
  • ln(1.57)/ln(8) 0.22
  • ln(2)/ln(8) 0.33
  • Hence, under this calculation, the policy
    accounts for between 22 to 33 percent of the
    productivity gap.

13
Effects of Policy Growth
  • Main Question
  • What are the determinants of the long-run growth
    rate ?
  • The determinants can be policies of taxes on
    investment, government production, tariffs, labor
    market restrictions, granting of monopolies,
    monetary policies, and subsidies to research and
    development.
  • Answer
  • - The estimates found using quantitative
    theory depend in critical ways on values of
    parameter and measures of factor inputs for which
    there is a little consensus.

14
Two Prototype Endogenous Growth Model
  • Policies in a Two-Sector Model
  • Two-Sector Model with Growth driven by Factor
    Accumulation
  • Policies in a R D Model
  • - The Growth driven by Research and Development

15
For both models,
  • Derive steady-state growth rates
  • Show how they depend on economic policies
  • Under certain assumptions,

Measured differences in policies
Significant differences in growth rates
16
1. Policies in a Two-Sector AK Model
  • - Analyze the balanced growth predictions of a
    prototype two-sector endogenous growth model.
  • ? Three main differences b/w Two-Sector AK Model
    and exogenous growth model
  • Constant Return to Scale in accumulable factors
  • Elastic Labor Supply
  • Taxes on factor incomes

17
  • Representative household maximizes
  • ?ßtU(ct, lt)Nt
  • c consumption per HH, l the fraction of time
    devoted to work
  • Nt the total number of HH
  • Two Sectors of Production
  • Firms in sector 1 produce goods which can be used
    for consumption or as new physical capital.
  • The Production Technology in this
    sector 1
  • cxk y
    A(kv)ak(hlu)ah
  • xk Per capita investment in physical capital, A
    Index of the technology level,
  • v and u the fractions of physical capital and
    labor, k and h the per capita
  • stocks of physical and human capital
  • 2. The human capital investment good is produced
    in sector 2.
  • xh per capita investment in human capital, B
    index of the technology level

The Production Technology in this sector 2
xh B(k(1-v)?k (hl(1-u))?h
18
The Law of Motion for the per capita capital
stocks k and h
  • (1n)kt1(1-dk)ktxkt
  • (1n)ht1(1-dk)htxht
  • HH supply labor and capital to the firms in the
    two sectors
  • Their income and investment spending are taxed.
  • HH BC
  • Ct(1txkt)xkt(1txht)qtxht

  • (1-tk1t)r1tktvt (1-tk1t)r2tktvt (1-vt)
  • (1-th1t)w1tlthtut(1-th2
    t)w2tltht(1-ut)Tt
  • q the relative price of goods produced in
    the two sectors, txk a tax on physical capital
    investment, txh a tax on human capital
    investment, rj the rental rate on physical
    capital in sector j, wj the wage rate in sector
    j, txj a tax on income from physical capital
    used in sector j, thj a tax on income from human
    capital used in sector j, T per capita transfers.

19
Steady-State Growth for a 0 Percent and 20
Percent Income Tax in the Two-Sector Endogenous
Growth Model
20
  • There is large difference between the predictions
    of Lucas(1990) or Kim(1992) and King and
    Rebelo(1990) or Jones et al.(1993) if growth
    rates are compounded over many years.
  • The estimated impact of policy on growth varies
    dramatically in the literature.
  • There is still much debate about the magnitude of
    the estimates of policy effects

21
Q Why the results are so different ?
  • To get some sense of this answer,
  • Consider two special cases of the model
  • Derive explicit formulas for the growth rate of
    productivity in the steady state.

22
The First Special Case1.
Suppose that incomes from capital and labor used
in sector j are taxed at the same rateThat is,
tj tkj thj
  • 2. Suppose that tax rates on physical and human
    capital investment are equal
  • That is, tx txk txh
  • 3. Suppose that capital shares are equal in the
    two sectors
  • That is, a ak ? k
  • 4. Suppose that the depreciation rates are equal
    for physical and human capital,
  • That is, d dk dh

23
  • In this case, the steady-state growth rate for
    output per worker

g ß 1-dAa(1-t1)aB(1-a)(1-t2)1-a
l(t)1-a/(1tx)1/s -1
  • Predicted effects of a tax increase depend on the
    discount factor, the depreciation rate, the
    capital share, and the elasticity of labor.

24
  • A Second Special Case
  • Suppose that the sector for producing human
    capital uses no physical capital.
  • In this case, the steady-state growth rate for
    output per worker

g ß (1-dhBl(t) (1-th2 )/(1txh)1/s -1
25
Comparing Two Special Cases of the Model
  • The First Case
  • - WITH physical capital
  • Changes in tax rates only affect growth if
    they affect supply of labor. If labor is
    inelastically supplied, the taxes levied on
    factors in sector 1 have no growth effects at
    all.
  • The Second Case
  • NO physical capital
  • Changes in tk 2 have no effect at all
    because of no physical capital.

g ß 1-dAa(1-t1)a B(1-a)(1-t2)1-a
l(t)1-a/(1tx)1/s -1
g ß (1-dhBl(t) (1-th2 )/(1txh)1/s -1
26
Policies in a R D Model
  • Theoretical models of endogenous growth based on
    devoting resources to RD

New product development models Such as Romer
Quality-ladder models Such as in Grossman and
Helpman
27
A Discrete-Time Version of the Model in Romer
  • Technological innovation new blueprints for
    intermediate inputs- is the driving force behind
    growth in this model.
  • The model implies a scale effect.
  • The growth rate increases with the number of
    people working in RD.
  • There is no scale effect in Jones model

28
Three Production Sectors
  • In the research sector, firms use existing
    blueprints and human capital to produce new
    blueprints.
  • In the intermediate goods sector, firms use
    existing blueprints and capital to produce
    intermediate capital goods.
  • In the final goods sector, firms use intermediate
    capital good, labor and human capital to produce
    a final good that can be consumed or used to
    produce new capital.
  • ? There is a household sector.
  • -HH buy consumption and investment goods with
    wages, rental earnings, and profits.

29
g dH ?r ??a/(1-a)(1-a-?)
g ß(1r) 1/s -1
  • G depends positively on the stock of human
    capital H.

There is a scale effect
30
Main Assumption
A doubling of the number of people working on RD
A doubling of the growth rate by Nt!Nt dH?
NtNØ t
However, in the OECD countries, there has been a
dramatic increase in the number of scientists and
engineers and a dramatic increase in the
resources devoted to RD with little or no
increase in growth rates over a sustained period
31
Romer Model Jones
  • Jones offers a possible solution to the problem
    of the existence of a scale effect.
  • Assume that the evolution of blueprints is given
    by
  • Now g depends on the growth rate of the labor
    force that the total number of researchers. Thus
    the scale effect is removed.

Nt1 Nt dH?Nt NØt ,0lt ?1, Ølt1
g ?n/1-Ø
32
  • Q Is the relationship in this equation
    consistent with the data ?
  • A It depends a lot on how the model is
    interpreted.
  • Ex 1. If we interpret this model as one of a
    typical country, then the answer is NO.
  • - The correlation b/w growth rates of GDP er
    worker and growth rates of the labor force over
    the period 1960-1985 is 0.12. The relationship
    in this equation implies a positive correlation.
  • Ex 2. If we interpret this model as one relevant
    only for countries in which there is a lot of
    activity in RD, we still find that the
    correlation b/w the growth rates of GDP per
    worker and the labor force are around zero or
    slightly negative.

g ?n / 1-Ø
33
Testing Implications against Data
  • Two model will be examined
  • Standard exogenous growth model
  • Standard AK endogenous growth model

34
  • Exogenous growth maximization problem

35
  • AK endogenous model maximization problem
  • Firms problem

36
Simulation of
  • Using this investment distortion as an input, we
    simulate an artificial panel data set for both
    exogenous and endogenous growth model

37
(No Transcript)
38
Exogenous model
39
data
40
Exogenous
  • 1820, country at 90th percentile has per capita
    GDP of 4.3 times that of country at 10th
    percentile
  • 1989, it was 16.5, which is close to the data of
    16.7

41
Exogenous
  • Figure 18 relationship between initial incomes
    and growth rates
  • Negative correlation because of transition
    dynamics of capital (s.s.) and investment
    distortion (PI/PC)

42
Exogenous model
43
data
44
Exogenous
  • Figure 19 correlation between growth rates in
    sub-periods of 1961-1972 and 1973-1985
  • Weak positive correlation of 0.21
  • Data shows 0.16

45
Exogenous model
46
data
47
Exogenous
  • Figure 20 plot maximum growth rate (top 2 ½
    percent) of each decades from 1880-2000
  • Model is higher than data
  • Model also shows no significant upward trend
  • Model although a lot mobility of countries across
    income, most are above 6 percent

48
Exogenous
49
data
50
Exogenous
  • Next, s5
  • Differences between s2 and s5
  • Maximum growth rates are smaller when s5 (5
    compared to 10)
  • Smaller range of distribution (1989) 90th per is
    only 7.1x that of 10th per when s5 (oppose to
    16.5)

51
An Endogenous Growth Model (ak?k)
  • Figure 25

52
Figure 26
53
Figure 2
54
Figure 27
55
Figure 28
56
Figure 4
57
Conclusion of both Exogenous and Endogenous
  • We worked out implications of two standard growth
    models for basic facts on income
  • From that we found that exogenous growth model
    does a better job simultaneously accounting for
    dispersion of income over time, lack of
    persistence in growth rates, and range in
    cross-country growth rates than the AK endogenous
    model does

58
  • However, more is needed before we can definitely
    say how well it do in explaining cross-country
    income differences.
  • Although we found that despite their simplicity,
    do fairly well mimicking some of the basic
    features of the data.

59
Conclusion
  • throughout, there are still many open issues and
    unanswered questions
  • Quantifying the role of economic policies for
    growth and development depends on policy
    variables that are difficult to measure and
    models that have predictions which rely on
    controversial parameterizations
  • only reviews progress made thus far

60
Conclusion
  • leaves room for new development that can be made
    with better measures of factor inputs (especially
    human capital), better measures of policy
    variables, and greater synthesis of theory and
    data
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