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The Price of Political Opposition: Evidence from Venezuelas Maisanta

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Title: The Price of Political Opposition: Evidence from Venezuelas Maisanta


1
The Price of Political OppositionEvidence from
Venezuelas Maisanta
  • Chang-Tai Hsieh, U.C. Berkeley and NBER
  • Edward Miguel, U.C. Berkeley and NBER
  • Daniel Ortega, IESA
  • Francisco Rodríguez, Wesleyan University

2
Political Polarization and the Economy
  • How do political polarization and conflict affect
    economic performance?
  • -- Patronage and clientelism are salient issues
  • Do individuals who join the opposition pay a
    price?
  • What are the economic impacts for firms,
    individuals, and society as a whole?
  • -- Existing work on the economic impacts of
    political conflict, instability is based on
    cross-country regressions
  • Our case Hugo Chávezs Venezuela

3
Venezuelas Maisanta List
  • Unique data on individual political actions all
    registered voters (12 million) signatures on
    recall petitions
  • -- This provides a measure of real-world
    political behavior for the whole population, not
    just elites
  • -- The data became widely available within
    Venezuela
  • A preview of our main findings
  • -- Pro-opposition firms pay higher taxes (33)
    and get less access to foreign exchange (-49)
  • -- These and other policy distortions led to a
    5 decline in aggregate manufacturing
    productivity (lower bound)
  • -- Lower earnings for pro-opposition individuals

4
Valuing political connections, preferences
  • Several studies estimate the economic
    benefits/cost of political connections and
    preferences
  • -- Fisman (2001) study the value of links to
    Suharto in Indonesia, Khwaja and Mian (2006)
    estimate the rents to politicians in terms of
    securing bank loans in Pakistan
  • -- Li et al (2007), Morduch and Sicular (2000)
    estimate returns to communist party membership in
    China
  • -- Dunning and Stokes (2007) on social programs
  • Most studies that study the economic impacts of
    political instability use cross-country
    regressions
  • -- Alesina et al (1996) the average effect of a
    coup is
  • -0.6 to -1.4 of aggregate output

5
Presentation outline
  • Introduction
  • Background on Venezuelan political economy
  • The Maisanta database
  • A simple model of petition signing
  • Empirical results
  • Data and matching
  • Firm analysis
  • Deriving aggregate TFP impacts
  • Labor market analysis
  • Discussion and future work

6
Hugo Chávezs Venezuela
  • Venezuela has strong democratic traditions since
    the 1950s, and was spared the coups and violence
    that swept most of Latin America in the 1970s and
    1980s (Karl 1997, Corrales 2002)
  • -- Venezuelas oil abundance is a defining
    characteristic
  • -- Per worker GDP declined 32 between 1978-1998
  • Hugo Chávez, a former army officer, won December
    1998 presidential elections with 56 of the vote
  • -- Conventional wisdom Chávez stoked the
    resentment of the poor and is despised by the
    business elite

7
Hugo Chávezs Venezuela
  • Chávez quickly moved to consolidate power in a
    new constitution, elections, extensive
    institutional reforms
  • -- Recall referendum new to the 1999
    constitution
  • A failed coup attempt in April 2002 contributed
    to increased political polarization
  • -- Opposition mass demonstrations, National
    Strike (12/02-1/03), attempts to recall Chávez in
    2002-2004
  • -- Chávezs popularity fell sharply throughout
    2002-2003 as the economy slumped

8
Timing of the signatures, recall referendum
  • Three waves of recall efforts in 2002-2003
  • (1) November 2002 1.57 million signatures for a
    referendum calling for Chávezs resignation
  • -- Invalidated by the Supreme Court February
    2003 due to claims about forged signatures
  • (2) August 2003 2.79 million signatures
    submitted for a Recall Referendum against Chávez
  • -- Invalidated by the new National Electoral
    Council, despite being above the 20 threshold,
    since signatures were collected before the middle
    of Chavezs term in office (the constitutional
    requirement)

9
Timing of the signatures, recall referendum
  • (3) December 2003 3.48 million signatures
    submitted to recall Chávez, in officially
    supervised signing booths
  • -- Pro-government groups also submitted over 2
    million signatures to recall opposition leaders
    from Congress
  • -- The National Electoral Council rejects 34 of
    opposition signatures, to be re-validated May
    2004
  • In the meantime, Chávezs popularity rises in
    2004, with high oil prices and expanding social
    programs
  • Recall Referendum finally held in August 2004
  • -- 59 of voters oppose the recall, Chávez
    survives

10
Political lists posted on the internet
  • January 2003 Pro-Chávez legislator Luis Tascón
    claims many signatures for the first petition
    were forged and posts the list of signers on his
    webpage
  • -- Tascóns List was updated with later waves of
    petition signatures, through August 2004

11
Political lists posted on the internet
  • January 2003 Pro-Chávez legislator Luis Tascón
    claims many signatures for the first petition
    were forged and posts the list of signers on his
    webpage
  • -- Tascóns List was updated with later waves of
    petition signatures, through August 2004
  • The Maisanta database (July 2004) contains all
    petition signers (pro-opposition and
    pro-government)
  • -- Widely distributed to government electoral
    battle units, government offices, sold on the
    street in Caracas
  • -- Quickly became well-known and politically
    salient
  • -- 12.3 million registered voters, 77 of voting
    age adults

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The Maisanta database interface
14
The Maisanta database interface
15
Uses of the petition information
  • Immediate accusations the information was used to
    discriminate against firms, employees and job
    seekers
  • Whoever signs against Chávez their name will be
    there, registered for history, because theyll
    have to put down their first name, their last
    name, their signature, their identity card
    number, and their fingerprint.
  • -- Hugo Chávez, televised address, Oct. 17,
    2003
  • Many anecdotes of public sector workers fired for
    signing
  • -- Media accounts of the government using tax
    audits and fines against pro-opposition firms
  • -- Also claims private pro-opposition firms
    required employees to bring proof of signing
    against Chavez

16
Uses of the petition information
  • There are still places that use Tascon's List to
    determine who gets a job and who doesn't.
  • -- Hugo Chávez, televised address, April 15,
    2005
  • The database remains widely held and available
  • -- Even beyond Maisanta, political affiliations
    are increasingly salient due to rising political
    polarization, and this is important for the
    interpretation of our results

17
A simple model of petition signing decisions
  • Many factors could affect individuals signing
    decision
  • -- The time costs of signing
  • -- A taste for expressing ones political
    preferences
  • -- Expected punishment from the government, and
    rewards from the opposition
  • Political preferences are in turn a function of
    how people expect to fare under Chavez versus the
    opposition
  • In the case of a secret ballot, expected
    punishments / rewards are not a factor (e.g., for
    the first petition signing round in 2002), but
    they are important for later petition rounds
    where people knew their names would be posted

18
A simple model of petition signing decisions
  • We focus on the differences in post-2003 outcomes
    for signers and non-signers
  • -- Selection bias is a concern if signers and
    non-signers expect to have different income
    trends if Chavez wins. In fact, these differences
    could be driving signing choices
  • -- We attempt to address omitted variable bias
    using rich panel datasets on firms and
    individuals, with geographic, sectoral,
    demographic time trends
  • Can we interpret these differences as the
    willingness to pay for dissident political
    expression?
  • -- Only under the (empirically incorrect)
    assumption that everyone fully expected Chavez to
    win the referendum

19
Firm datasets
  • Industrial Survey panel data for 1996 to 2004
  • -- Approximately 2,300 plants (private, public)
    per round
  • -- Census of plants with at least 100 employees,
    representative sample of plants with 5-99
    employees
  • -- Data on 927 firms for 2001, 2002, and 2003
    rounds
  • -- Revenue, sales, employment, taxes, profits

20
Economic outcomes in a polarized society
  • Firm board members IDs are public information
    and were then matched to Maisanta
  • -- We matched data on 453 private manufacturing
    firms in 95 municipalities (including the largest
    cities)
  • -- Contains 34 of private national
    manufacturing output
  • -- The Industrial Directory allows us to
    identify most firms
  • The private sector is dominated by the Opposition
  • -- Among our firms, 56 of board members signed
    against Chávez, only 4 signed against the
    Opposition
  • -- Meanwhile the public sector was increasingly
    dominated by Chávez and his allies

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Results Firm survey estimates
  • Difference-in-differences estimation with firm
    and year fixed effects, and firm sector time
    trends as controls
  • -- 50 3-digit industrial sectors (e.g., 6
    categories for textiles/apparel alone, 5 for food
    processing)
  • -- We effectively estimate impacts of signing on
    outcomes within these narrow industrial sectors
  • Pro-opposition firms profits fell substantially
    relative to other firms post-2003 (Table 2). Why?
  • Pro-opposition firms paid roughly 33 more in
    taxes
  • -- On average, 76,340 more in taxes per year
  • -- Pro-opposition firms also got significantly
    less foreign exchange (-49) from the government
  • -- Opposite effects for pro-government firms

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25
TFP Impacts of factor misallocation
  • Hsieh and Klenow (2007) quantify the effect of
    factor misallocation on manufacturing TFP, in the
    presence of firm-specific distortions taxes
    (?Y,i), costs of capital (?K,i)
  • Marginal revenue products of capital, labor are
    higher for firms facing larger firm specific
    distortions ?Y,i and ?K,i
  • -- A production function allows us to convert
    observed average products of capital, labor into
    marginal products
  • -- Greater marginal revenue product dispersion
    across firms is indicative of greater
    firm-specific distortions, and the resulting
    misallocation leads to lower aggregate TFP

26
TFP Impacts of factor misallocation
  • Firm marginal revenue products diverge
    substantially from sector averages over time in
    Venezuela, and these changes are strongly
    correlated with political preferences
  • -- Pro-government firms have sharply falling
    average products of labor and capital, marginal
    revenue products, meaning they are becoming less
    efficient
  • -- Pro-opposition firms show small increases
    they are relative productive but face constraints
    to expansion (e.g., higher taxes or less access
    to foreign exchange)

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30
TFP Impacts of factor misallocation
  • We compute the increase in marginal revenue
    product dispersion correlated with firms
    politics (Table 3)
  • The effect of this factor misallocation is a drop
    of 5 in aggregate total factor productivity
    (TFP) in 2003-2004
  • -- Including the steady-state endogenous
    response of capital investment increases output
    effects to -7.5
  • -- This ignores any sector-wide distortions, or
    broader inefficiencies from Chavezs economic
    policies
  • -- Alesina et al (1996) find a small -1 effect
    of a coup

31
Household Datasets
  • Household Survey, biannually for 1997-II to
    2006-I
  • -- Approximately 55,000 households per round in
    a rotating panel, households are retained for six
    semesters
  • -- Panel of earnings, employment status and
    sector, as well as individual education,
    household size
  • 20 signed Anti-Chávez, 8 signed Pro-Chávez

32
Matching Maisanta and household data
  • Maisanta identifies individuals voting center,
    which can be placed in a particular locality
    (parroquia)
  • -- Locality information, exact date of birth and
    gender, uniquely identifies 45 of individuals in
    Maisanta
  • -- Another 19 are in DOB-gender-parroquia cells
    where all individuals share a political
    preference
  • HHS data matched to Maisanta using these
    variables
  • -- HHS data on 87,100 individuals in Maisanta,
    296,087 individual-semester observations
  • -- The matched, unmatched similar (Appendix
    Table 1)
  • -- Re-weight observations by 1/Locality match
    probability

33
Results Descriptive statistics on signers
  • Pro-government and pro-opposition signers have
    similar earnings at baseline, pro-opposition
    signers have more education (Table 4)
  • -- Pro-government signers more likely to live in
    Caracas

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35
Labor markets in a polarized society
  • Petition signing allows people to signal their
    political type
  • -- Labor demand employer discrimination, a
    taste for workers with similar political views
  • -- Labor supply employees may also have a taste
    for working with like-minded people
  • Regardless of the exact cause, exogenous job
    displacement could destroy job match surplus and
    have negative social costs (Mortensen and
    Pissarides 1998)
  • -- Loss of firm-specific human capital, worker
    job search

36
Results Labor market effects
  • Difference-in-differences estimation of effects
    of Maisanta information on labor market outcomes
  • -- Include individual fixed effects, year fixed
    effects
  • -- Time-varying omitted variables correlated
    with politics are the key identification concern.
    Include individual characteristics (female, year
    of birth, years of schooling, locality)
    interacted with time trends
  • Negative earnings effects for both groups of
    signers starting in 2003, the year the
    information was released, but larger and
    statistically significant effects for
    pro-opposition supporters a 3.9 drop in mean
    earnings (Table 5)

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Results Household survey data estimates
  • There is considerable churning in the labor
    market public sector employment decreases for
    pro-opposition signers, and private sector
    employment decreases for pro-government signers
    (Table 6)
  • -- Effects at roughly 4-6 of pre-Maisanta
    employment
  • -- Stronger effects for males no differential
    effects by respondent education
  • It is challenging to estimate the aggregate
    welfare consequences of this increased job
    switching, without job match surplus estimates
    for Latin America
  • (Ideas?)

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Discussion
  • Political polarization and favoritism can have
    substantial negative effects on aggregate
    economic performance, in a setting with weak
    institutional checks and balances
  • -- Echoes of other cases of Latin American
    populism and political patronage (Peron in
    Argentina, Garcia in Peru)
  • -- Pro-opposition firms were punished,
    reducing aggregate manufacturing productivity by
    at least 5
  • -- Individual Venezuelans who signed the
    anti-Chavez petition also had worse labor market
    outcomes
  • These findings provide a partial explanation for
    the stability of dictatorships or
    pseudo-democracies when the price of political
    opposition is high
  • -- A rationale for preference falsification
    (Kuran 1995)

42
An example
  • Ms. Rocío San Miguel worked for 13 years as a
    contract worker for the Venezuela National
    Borders Council
  • -- Fired on March 12, 2004. Her boss "How could
    it have occurred to you to sign against the guy
    who pays you?
  • Three other co-workers who had signed also fired
  • One decided not to validate his signature (in the
    reparos) and the lay-off letter was withdrawn
  • Ms. San Miguel taped phone conversations where
    her boss stated she was fired for signing the
    recall petition
  • -- Case at Inter-American Human Rights Commission

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