Abstract
Although economic reform generates winners and losers, many people have no opinion whatsoever about it. Because most empirical research ignores these non-responses, the conventional wisdom on the determinants of support for economic reform ignores large groups of silent citizens. To correct this problem, we present a stylized model that accounts for support, opposition, indifference, and unawareness about reform. We argue that informed people and those who perceive the status quo as dysfunctional will form an opinion more readily than others. For evidence, we examine public opinion about electricity privatization from a large field survey in rural India. We find that information and perceived inefficiency have much larger effects on the likelihood of forming an opinion than on the direction of that opinion (yes or no), emphasizing the importance of accounting for opinion formation process. In this case, information and perceived inefficiency make reform a salient issue to a passive public, most of whom become vocal opponents of reform.
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Notes
At the time of the survey, most Indian states had yet to unbundle their SEB or had done so only recently. Therefore, we discuss experiences with the power utilities in terms of the SEB, as opposed to generation, transmission, and distribution companies.
“Bihar’s Industrial Town to Protest against Power Shortage.” Available at http://www.rediff.com/money/report/bihars-industrial-town-to-protest-against-power-shortage/20120525.htm.
The survey covered Andhra Pradesh, Bihar, Gujarat, Haryana, Karnataka, Kerala, Maharashtra, Madhya Pradesh, Odisha, Punjab, Rajasthan, Tamil Nadu, Uttar Pradesh, and West Bengal.
Dubin and Rivers (1989) provide a thorough extension of the Heckman model by applying logit and probit models in the outcome stage when the dependent variable of interest is a binary variable (e.g. vote for Reagan in the presidential election). In line with our work, they also argue that turnout and voting behavior should be analyzed jointly by taking sample selection mechanism into account. To be noted, Dubin and Rivers find largely identical results from probit estimation and the original bivariate normal estimation (i.e. a linear probability model).
In the appendix, we use the principal component analysis to construct an alternative measure of household assets. The principal component analysis includes the same 13 items. We then use the principal scores that account for the greatest variation in the analysis and find the same results. In fact, the principal component scores are highly correlated with our original measure of household assets (\(r = 0.971\), significant at the \(\alpha < 0.001\) level).
The original survey included respondents who were below the age of 10; we exclude them so that only adults are included in our analysis.
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We thank V. Santhakumar for generously sharing his data. We are grateful to Paul Anthony Arias, Patrick Bayer, Michaël Aklin, Michael Presky, V. Santhakumar, Thomas Sattler, and the participants at the 2014 annual meeting of the Midwest Political Science Association for useful comments.
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Cheng, Cy., Urpelainen, J. Unawareness and indifference to economic reform among the public: evidence from India’s power sector reform. Econ Gov 17, 211–239 (2016). https://doi.org/10.1007/s10101-015-0179-4
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DOI: https://doi.org/10.1007/s10101-015-0179-4