2013
DOI: 10.1007/s11127-013-0126-2
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Do barriers to candidacy reduce political competition? Evidence from a bachelor’s degree requirement for legislators in Pakistan

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Cited by 16 publications
(10 citation statements)
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“…The main finding suggests that higher levels of political competitiveness in Pakistan is associated with better economic policies. This link between political competition and economic policies stands intact even if the MIPC is replaced with more general measures of political competition, i.e., those utilized by Besley et al (2010) or Afzal (2014). Also, consistent with the theory -as a robustness checkour findings also indicate a positive impact of political competition on the country's GDP and per-capita income.…”
Section: Introductionsupporting
confidence: 67%
See 1 more Smart Citation
“…The main finding suggests that higher levels of political competitiveness in Pakistan is associated with better economic policies. This link between political competition and economic policies stands intact even if the MIPC is replaced with more general measures of political competition, i.e., those utilized by Besley et al (2010) or Afzal (2014). Also, consistent with the theory -as a robustness checkour findings also indicate a positive impact of political competition on the country's GDP and per-capita income.…”
Section: Introductionsupporting
confidence: 67%
“…However, in a multiparty system, stronger political competition can be represented by larger number of candidates or political parties contesting the elections, larger variation in distribution of votes across contestants and a smaller vote share for the winning candidate or political party, less concentrated candidate field (Afzal, 2014), and a smaller variation in the number of seats won by all the political parties running in the elections.…”
Section: 2mentioning
confidence: 99%
“… 7 See Afzal (2014) for a study on the relationship between political competition and an education requirement for politicians.…”
mentioning
confidence: 99%
“…(3):where c are dummy variables for each year after an election, indexed by c ∈ [0, 3] , and c is the coefficient of interest. Equations (1-3) are estimated using population-weighted least squares, as is common when observational units have substantially different populations [90][91][92], and hypothesis testing is done using standard errors clustered on the county election cycle.…”
Section: Modelsmentioning
confidence: 99%