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Mayoral Fiscal Performance and Reelection Success

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Mayoral Fiscal Performance and Reelection Success

  1. 1. MAYORAL FISCAL PERFORMANCE AND REELECTION SUCCESS C. Alexandre A . Rocha Prof. James E. Kee, Advisor
  2. 2. Objective • To determine if there is a relationship between the fiscal performance of Brazilian municipalities and the reelection chances of their mayors. 2
  3. 3. Theoretical Literature • Elections as reasonably efficient instruments of choosing the best representatives (Wittman, 1989). • Asymmetric information can generate moral hazard and adverse selection (Le Borne e Lockwood, 2002). • Higher the percentage of non-informed voters, lower the efficiency of the electoral process (Baron, 1994). 3
  4. 4. Empirical Literature • Reelection for legislatives offices (Hall and van Houweling, 1995; Kiewiet and Zeng, 1993) and for the Presidency of the U.S. (Peltzman, 1992; Cuzán and Bundrick , 2000). • In Brazil, Leoni, Perereira and Rennó (2001) analyses the elections for legislatives offices, and Mendes (2004) explores the relationship between the candidature and reelection probabilities, and how well the incumbent mayors publicized their efforts and how well they performed as public managers. 4
  5. 5. Characteristics of Phenomena • Big numbers of potential observations (5,561 municipalities). • Elections happen at the same time. • Constitutional amendment allowing reelections approved in 1997: all mayors elected in 1996 knew, since the beginning of their term (1997- 2000), they could be reelected once. • There is a two year lag between municipal elections and the state and federal elections. 5
  6. 6. Incumbent Mayor’s Options 1. Abandoning politics. 2. Running for town councilor. 3. Being up for reelection. 4. Remaining two years without mandate and then running for an office in the federal or state government. 6
  7. 7. Decision of Running for Reelection 1. Chance of being reelected. 2. Cost of the electoral campaign. 3. How well the mayoral office is valued by the incumbent mayor. 7
  8. 8. Model REEL* = α ' z i + η i i if CANDi = 1 REELi = 1 if REEL* > 0 and i 0 otherwise 8
  9. 9. Types of Variables Used • Fiscal performance between 1997 and 1998 (fiscal performances per se, tax revenues, current revenues, current transfers received, and current expenses). • Personal characteristics (being a candidate and electoral performance in the election of 1996). • Local characteristics (Human Development Index, GINI coefficient, urban population, local population compared to the state one, population density and growth, percentage of mayors reelected in municipalities belonging to the same micro region, being a capital, belonging to a metropolitan area, belonging to the North, North-East, Center-West, South or Southeast regions, being new and being divided). 9
  10. 10. Model Handicaps • Campaign expenditures. • Age. • Level of education. • Cross-section. 10
  11. 11. Matrix of Candidature and Reelection (*) Non-Reelected Reelected Total 31.4% _ 31.4% Non-Candidate Candidate 28.2% 40.4% 68.6% Total 59.6% 40.4% 100.0% (*) Mayors older than 70 years were excluded whenever there were data about age . 11
  12. 12. Effective Sample Only 2,333 fulfilled the required prerequisites: • Their mayors were less than 70 years old. • Their fiscal accounts were available to general public. • Their mayors actually tried to be reelected in the election of 2000. 12
  13. 13. Estimation Non Significative Significative Fiscal Performance. Current Expenses, Tax Revenue. Transfers and Revenues. GINI Coefficient. N, NE, CW and S. Municipality Divided. Micro region. Metropolitan Area. Population Density. Population Growth. Percentage of State Population. (–) Urban Area. (–) Capital. New Municipality. Performance in the 1996 Election. HDI. 13
  14. 14. Conclusions • The fiscal federalism model adopted by Brazil promotes further increases of local expenses. • Electoral process in the North and Northeast regions than in the Southeast. 14
  15. 15. Topics for Further Investigation • Comparison between big and small cities (however, only 220 municipalities have more than 100.000 inhabitants). • Effect of the Fiscal Responsibility Law (Complementary Law n. 101, of 2000). • Identification of other feasible explanatory variables. 15

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