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Finance and Growth: Evidence, Methodology and Channels

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Title: Finance and Growth: Evidence, Methodology and Channels


1
Finance and GrowthEvidence, Methodology and
Channels
  • Thorsten Beck

2
Finance and Growth
  • Theory ambiguous
  • Increases productivity
  • Depresses savings rates
  • Empirical question Looking beyond correlation
    how to overcome identification challenge?
  • Other issues
  • Measuring finance
  • Data from cross-country to firm/household-level
  • Looking at channels
  • Understanding the mechanisms (differentiate among
    competing theories)
  • Additional insights into causality
  • Distributional impact of finance
  • Finance and Poverty Alleviation
  • Finance for Growth vs. Finance for All

3
This presentation
  • Finance and Growth the identification challenge
  • Finance for Growth the channels
  • Finance and Income Distribution
  • Finance for All?

4
Measuring finance
  • Functions of financial institutions/markets
  • Facilitating exchange of goods and services
  • Mobilizing and pooling savings
  • Assess projects and monitor entrepreneurs
  • Diversify and reduce liquidity and intertemporal
    risk
  • No data on functions
  • Focus on institutions and markets as proxies
  • Monetary aggregates, bank credit/deposits (IFS),
    stock market data
  • Bank level data
  • Firm-level data

5
Finance and Growth - basics
  • Unobserved/omitted variable bias Reverse
    causation Measurement bias

6
Finance and Growth the identification challenge
  • Instrumental variable approach
  • Cross-country historical and geographic
    experience as external instruments
  • Panel internal instruments
  • Time-series approach forecast capacity of
    finance for growth
  • Differences-in-differences approach smoking gun
  • Firm-level evidence
  • Household-level evidence (more on this later)

7
Finance, Law, and Growth (1)
  • Cross-sectional IV regression, instrumenting for
    finance
  • Find instrument that (i) explains financial
    development, but is exogenous to it, (ii)
    explains growth only through finance
  • Legal origin Common vs. Civil Law
  • Two-stage least square/GMM estimation
  • Specification tests
  • 1st stage F-test
  • OIR test
  • Problems
  • weak specification tests
  • Instrument for control variables
  • IV gt OLS coefficient

8
Finance, Law, and Growth (2)
  • IV gt OLS coefficient
  • Negative reverse causation? Unlikely
  • Omitted variable? Implausible
  • Measurement error in OLS? Ok
  • Legal origin correlated with omitted variable?
    Very likely (LLSV)

9
Finance and Growth Dynamic Panel Approach
  • Use of internal instruments lagged values of
    explanatory variables
  • Difference estimator Arrellano and Bond (1991)
    use past levels as IV for current differences
  • Weak, because
  • Lose cross-country dimension
  • Decreases signal-to-noise ratio
  • If persistent variables, past levels are weak
    instruments
  • System estimator combines differences estimator
    with level regression that uses past differences
    as IV.
  • Problems coefficients very sensitive to
    specification overfit of first stage

10
Finance and Growth Time Series Evidence
  • Forecast capacity of finance for GDP per capita
    Granger causality
  • High-frequency data (annual)
  • Allows for heterogeneity across countries
  • Non-stationarity of finance and GDP per capita
  • Check for co-integration - comovement
  • Check for Granger causality

11
Finance and Growth Differences in Differences
(1)
  • Rajan and Zingales (1998) smoking gun approach
  • Do industries more reliant on external finance
    (exogenous industry characteristics) grow faster
    in countries with higher levels of financial
    development?
  • Treatment/control groups
  • Challenge are there inherent industry
    characteristics?
  • Reverse causation?
  • Clustering?

12
Finance and Growth Differences-in-Differences
(2)
  • Jaraytne and Strahan (1996)
  • Until mid-1970s most U.S. states restricted the
    ability of banks to freely branch within states
    and across states, reducing competition
  • Technological progress undermined these
    restrictions
  • From mid-1970s until 1994 (Riegle-Neal Act), most
    states did away within intra- and inter-state
    branch restrictions
  • Look at specific policy intervention
  • Reduce identification problem
  • Fewer concerns re measurement error
  • Allows to assess channels

13
Finance and Growth Differences-in-Differences
(2)
  • Result of branch deregulation
  • Growth accelerated
  • Bank efficiency improved
  • Rate of new incorporations increased
  • Volatility decreased
  • Move towards efficient capital allocation
  • Problems/challenges
  • Challenge reverse causation (Kroszner and
    Strahan, 1996)
  • Challenge cluster error terms within states
    (Bertrand et al.)
  • Problem clustering of liberalization across
    regions (Huang, 2008)

14
Finance and Growth Firm-level evidence
  • Demirguc-Kunt and Maksimovic (1998)
  • Firms grow faster than predicted by internal
    resources in countries with better finance
  • Beck, Demirguc-Kunt and Maksimovic (2005)
  • Firms growth rates are less affected by
    financing constraints in countries with better
    finance
  • Investment-cash flow correlation lower in
    countries with better finance (Laeven, 2004,
    Love, 2004)

15
Impact finance promotes firm growth
Proportion of firms that grow at rates requiring
external finance
0.6
KOR
JPN
0.5
SGP
THA
NOR
DEU
MYS
DEU
CAN
FIN
MEX
AUT
USA
AUS
ESP
JOR
NZL
0.4
CHE
FRA
IND
ZWE
NLD
BEL
GBR
ITA
0.3
SWE
PAK
TUR
0.2
ZAF
0.0
0.5
1.0
1.5
Private credit / GDP
16
Finance and Growth the channels
  • Allocation more than accumulation
  • Cross-country
  • Productivity growth vs. capital
    accumulation/savings
  • Capital reallocation
  • Differences-in-differences approach
  • Helps industries with more need of external
    finance
  • Helps industries with growth opportunities
  • Helps industries with higher shares of small
    firms
  • Effect seems largest for middle-income countries

17
(No Transcript)
18
Finance and Growth Household vs. Enterprise
Credit
19
Enterprise Credit, Household Credit and Economic
Growth
20
Enterprise Credit, Household Credit and Economic
Growth Economic effect
  • Compare countries at 25th and 75th percentiles
  • Bank Credit to GDP
  • Pakistan vs. Thailand 1.1 faster growth
  • Enterprise Credit to GDP
  • Poland vs. U.S. 1.1 faster growth

21
Credit Composition and Growth - Interpretation
  • Only enterprise component of bank lending
    robustly linked to economic growth
  • Lending to households has no significant effect
    on growth (consistent with ambiguous effect
    predicted by theory)
  • Increasing importance of household credit in
    total credit in high-income countries explains
    why the impact of overall bank lending in these
    countries is insignificant.

22
Finance and Growth Who benefits?
  • Pro-poor
  • Credit constraints are particularly binding for
    the poor (Banerjee and Newman,1993 Galor and
    Zeira, 1993 Aghion and Bolton, 1997)
  • Finance helps overcome barriers of indivisible
    investment (McKinnon, 1973)
  • Finance foster economy-wide openness and
    competition by facilitating entry (Rajan and
    Zingales, 2003)
  • Pro-rich
  • Non-linear relationship (Greenwood and Jovanovic,
    1993)
  • Credit is channeled to incumbent and connected
    and not to entrepreneurs with best opportunities
    (Lamoreaux, 1986 Haber, 1991)

23
Finance and income share of poorest income
quintile
24
Finance and change in Gini
25
Finance and Poverty Reduction
Growth in poverty headcount
0.3
0.2
0.1
0
-0.1
-0.2
-0.3
-0.4
-2
-1
0
1
2
private credit
26
Finance and Income Inequality Summary of
cross-country work
  • Finance is pro-growth and pro-poor!
  • Robust to outliers, IV and GMM
  • Almost half of positive effect of financial
    development on income growth of poorest income
    quintile comes through income distribution effect
  • Important caveats
  • Measurement
  • Identification
  • Channels

27
Finance and Income Distribution exploiting U.S.
branching deregulation
  • Deregulation at different times allows to exploit
    state-time-panel
  • Difference-in-difference estimation of
    relationship between branch deregulation and
    log(Gini)
  • Control for state and year dummies and
    time-variant state characteristics
  • 1977 to 2003
  • Little concerns of endogeneity
  • Single policy change - reduce identification and
    comparability problems often associated with
    cross-country comparisons

28
The effect of branch deregulation on income
inequality
29
Decomposition of Variance
Non-wage income 33
Within unskilled 11
Total income 100
Within skilled 14
Wage income 67
Between skilled and unskilled 75
30
Branch deregulation and the labor market
31
Branch deregulation and income distribution
labor market channel
  • Labor market effect Deregulation boosts labor
    demand primarily for the unskilled.
  • This increases the employment of less skilled
    workers, explaining reduction in wage income gap
  • Effect of branch deregulation goes through
    improved capital allocation and higher
    investment, not through expanding access to
    credit services
  • Effect of liberalization on income distribution
    NOT through
  • Higher entrepreneurship
  • Human capital allocation

32
Finance, Income Inequality and Poverty Reduction
  • Finance reduces income inequality
  • Mechanism seems to work through better capital
    allocation and structural changes
  • U.S. evidence (see above)
  • General equilibrium models for Thailand suggests
    that financial development results in shifting
    labor from agriculture subsistence to formal
    sector, with repercussions for growth and income
    inequality (Gine and Townsend, 2004)
  • Access to credit for all? Microcredit?
  • Rigorous microcredit studies find mixed results
    on the impact of access to credit by the poor
    (Pitt and Khandker, 1998 Morduch, 1998
    Khandker, 2003 Karlan and Zinman, 2006 Coleman,
    1999)
  • Large share of microcredit used for consumption
    purposes
  • Credit for Growth Basic financial services for
    all?

33
Finance and Growth What have we learned?
  • Different methodologies and different aggregation
    levels show robust effect of finance on growth
  • Effect through allocation efficiency/productivity
    growth, less through savings/capital accumulation
  • Finance is pro-growth and pro-poor, but
  • Effect is more on the intensive/qualitative
    margin than on the extensive margin

34
Finance and Growth still more to learn
  • Advances on macroeconomic techniques (Rigobon
    heterogeneity in structural shocks GMM
    techniques)
  • Randomized experiments (household level
    spill-over effects)
  • Look at specific policy interventions

35
References
  • Beck (2008) The Econometrics of Finance and
    Growth, Palgrave Handbook of Econometrics, Vol.
    2, forthcoming
  • Beck, Buyukkarabacak, Neven and Valev (2008) Who
    Gets the Credit? And does it Matter? Household
    vs. Firm Lending across Countries, mimeo.
  • Beck, Demirguc-Kunt and Levine (2007) Finance,
    Inequality, and the Poor, Journal of Economic
    Growth 12, 27-49.
  • Beck, Levkov and Levine (2007) Big Bad Banks?
    The Impact of U.S. Branch Deregulation on Income
    Distribution, mimeo.
  • Econ.worldbank.org/staff/tbeck
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