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Subject: Voter ×

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    Determinants of electoral success: the 2010 and 2013 senatorial elections
    (2013-09) Co, Anne Bernadine L.; Laset, Eleonor Marie E.; Pernia, Ernesto M.
    The elections have always been an entertaining period in the Philippines. This is the time where all of the voting population is equal - all of us have one vote to cast. This is the time where we exercise democracy and elect the people we feel would lift us out of poverty. This is also the time where the candidates cram to have a polished image and make sure their names won't be tainted with dirt. Because of this we ask, what would be the most effective way for a candidate to win? What qualities should he posses? And how does the Filipino vote? The study aims to determine the factors that will prove to be the most effective and important for an aspiring candidate's success in the elections. It can be a road map for the candidates but it can also be helpful in raising awareness to the Filipino to vote wisely and carefully.
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    Who votes in the Philippines? determinants of voter participation
    (2010-10) Bantigue. Agnes May B.; Fabic, Marie Olivia F.; Alonzo, Ruperto
    Voting is one form of letting people exercise their rights as citizens of a country. Although studies have been made attempting to pinpoint the determinants of turnout or voting decision in general, not one focuses on the factors in the Philippines. This study provides an analysis for the determinants of propensity to vote of an individual in the country, where voter turnout had been consistently low compared to other democratic countries. Applying Riker and Odershook's [1995] Theory of Calculus of Voting and several other literature, the researchers identify four factor groups of explanatory variables, namely, individual's attributes, individual's self- assessment of current condition, political factors and group affiliation. Using the 2001 Second Quarter and the 2004 Third Quarter Social Weather Station (SWS) data, the variable whether voted or not in the elections is used as the dependent variable and is regressed using two models. The first model provides a comparison of the magnitudes and inconsistencies of the explanatory variables using the two datasets and the pooled dataset. The second model, an expanded model, includes several explanatory variables focusing on political factors. Using Binary Logit regression analysis, results show that locale, age, educational attainment and political affiliation, being the strongest, affect an individual's propensity to vote. However, results in several wealth factors are inconsistent but bear the same sign with other variables in similar classifications. This led the researchers to recommend policies on voter education and on elections itself. To account for the results of wealth factors, the researchers also recommend addressing issues on income inequality.