Abstract
What strategy does a rational party follow in allocating discretionary expenditure? This article conceives redistributive politics as an investment strategy where expenditure allocations respond to electoral risk. To show the effects of risk, it provides evidence from Pronasol in Mexico and an analysis of New Deal spending in the United States. The analysis finds that the federal administrations in both countries responded to systematic electoral risk. Spending diversification into risky voters was a rational response to chances of losing elections. The analysis hence connects electoral volatility with redistributive spending.
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Notes
For a review of vote-buying models, see Diaz-Cayeros et al. (2008).
Formally, following Dixit and Londregan (1996), if two parties A and B attempt to maximize votes offering to voters consumption bundles CiA and CiB, an individual voter in a particular region will abandon the incumbent voting for party B if the utility differential of those consumption bundles is greater than the proclivity to prefer the incumbent, given by X, namely: U(CiA)−U(CiB)>X. The cutpoint defines the split between voters who prefer the incumbent to the opponent and is given by the X where this relationship is strictly equal, in the sense that the utility differential is exactly the same as the affinity X. As noted by Dahlberg and Johansson (2002) in probabilistic voting models, the equilibrium outcome is that both parties offer the same consumption bundles, so the cutpoint is where X=0. The share of votes of each party is given by a voter density f(X) before and after the cutpoint. The overall votes each party receives in the country will depend on the relative size of each region (N) multiplied by the density. Hence, resources will be devoted to regions with larger populations and greater densities at the X cutpoint.
Empirically, a different possibility would be to use opinion polls to calculate the closeness of specific races and the responsiveness of various groups of voters to different campaign strategies. In particular, one could envisage a poll in which incumbents could calculate the vote elasticity of a certain amount of spending targeted to a particular type of voters or specific districts.
There might be differences among politicians in their attitude to risk. It is conceivable, for example, that the longer an incumbent has been in office in a particular place, the more risk averse he becomes, while it is possible that politicians that are out of office can be risk seeking.
The reason to concentrate in state-level data is that individual localities, like individual stocks, can be far more volatile than portfolios. In the empirical finance literature, tests of betas are not performed with individual stocks, but with sets of diversified portfolios. I perform a test of the effects of risk on resource allocation conceiving states as portfolios of lower aggregation assets, such as electoral districts or precincts. Elsewhere, I have calculated beta coefficients for municipalities in Mexico (Diaz-Cayeros et al. 2008). Future empirical work could perform a test similar to Fama and French (1996), in which counties, municipalities, or states could be ordered by size, and the beta coefficients calculated for each group according to its relative importance in the electoral victory of, for example, a presidential race.
A negative alpha should be interpreted as indicating that the core supporters are in the other parties.
The database on Pronasol spending was compiled by Marcela Gómez and Sandra Pineda.
Unreported estimates also made for two of the components of New Deal spending have received special attention. The first is the Federal Emergency Relief Administration (FERA), which only operated from 1933 to 1935. In FERA funds, which were discretionally controlled by both the federal government and governors, I find stronger effects for risk; a different pattern is observed in the allocation of road spending. In that component of New Deal spending, Key (1937) notes that a formula was established in the Federal Highway Act of 1916, which was fundamentally based on population, land area, and the prevailing quality of roads. He also noted that over time “Congress has modified it [the apportionment of funds] through additional appropriations allotted in other ways.” Although land area constituted the most important determinant for the allocation of these funds, road construction was biased similarly, according to electoral risk, as total New Deal funding.
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Diaz-Cayeros, A. Electoral Risk and Redistributive Politics in Mexico and the United States. St Comp Int Dev 43, 129–150 (2008). https://doi.org/10.1007/s12116-008-9020-1
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DOI: https://doi.org/10.1007/s12116-008-9020-1