Does the evidence on corruption depend on how it is measured? Results from a cross-country study on microdata sets

While much of the existing literature on corruption looks at the effect of corruption on macro variables such as growth rates and income distribution, this study provides a departure by focussing on victims of corruption by using microdata to compare civilian and business corruption. This study finds that businesses face a stronger incidence of bribe demands than individuals. Though there are several differences between the determinants of the two forms of bribe victimization, there are also some similarities. Policies to combat corruption need to take into account both the differences and the similarities.     

Growth and inequality: Dependence on the time path of productivity increases (and other structural changes)

This paper examines the significance of the time path of a given productivity increase on growth and inequality. Whereas the time path impacts only the transitional paths of aggregate quantities, it has both transitional and permanent consequences for wealth and income distribution. Hence, the growth-inequality tradeoff generated by a given discrete increase in productivity contrasts sharply with that obtained when the same productivity increase occurs gradually. The latter can generate a Kuznets-type relationship between inequality and per-capita income. Our results suggest that economies with similar aggregate structural characteristics may have different outcomes for income and wealth inequality, depending on the nature of the productivity growth path.     

Target volatility option pricing in the lognormal fractional SABR model

We examine in this article the pricing of target volatility options in the lognormal fractional SABR model. A decomposition formula of Itô's calculus yields an approximation formula for the price of a target volatility option in small time by the technique of freezing the coefficient. A decomposition formula in terms of Malliavin derivatives is also provided. Alternatively, we also derive closed form expressions for a small volatility of volatility expansion of the price of a target volatility option. Numerical experiments show the accuracy of the approximations over a reasonably wide range of parameters.     

Regulation and welfare: evidence from paragraph IV generic entry in the pharmaceutical industry

This article estimates welfare effects of accelerated generic entry via Paragraph IV challenges. Using data from 2000–2008 for hypertension drugs in the United States, we estimate demand using a random‐coefficients logit model. We find consumers gain $42 billion whereas producers lose $32.5 billion from entry. This modest $9.5 billion gain in social welfare is consistent with our observation that overall consumption does not increase after entry—generic sales displace branded sales, shifting surplus downstream from producers to consumers, insurance companies, and retailers. We demonstrate significant cross‐molecular substitution and discuss challenges in determining what fraction of downstream surplus actually goes to consumers.     

An Empirical Investigation of Alternative Contingent Claims Models for Pricing Residential Mortgages

Researchers have employed option pricing techniques to analyze mortgage financing and valuation. Alternative models (one-, two-, and three-variable models) employing different variables (short- and long-term interest rates and building value) have been designed to price mortgage securities. No prior research has addressed the question of whether the pricing accuracy of these contingent claims models improves as states increase or whether contingent claims models' valuation abilities generate reasonable estimates of primary mortgage market prices. The articles investigates the relative efficiency of each of these alternative mortgage valuation models in predicting primary market mortgage values. Our results show that a two-variable model (short rate and building value) is the most efficient. Valuation results indicate a positive pricing spread between the primary market and the theoretically estimated value.     

On preferences with infinitely many subjective states

Models with subjective state spaces have been extremely useful in capturing novel psychological phenomena that consist of both a preference for flexibility and for commitment. Interpreting the utility representations of preferences as capturing these phenomena requires one to use the notion of a sign of a state. For linear preferences, we completely characterise the sign of a state in terms of its analytic representation as an integral with respect to a signed measure. In models with finitely many states, a state is either positive or negative, but never both. We show that in models with infinitely many states, a state can be both positive and negative. Thus, models with finitely many states may not capture all the behavioural features of an infinite model. Our methods are also useful in constructing utility functionals over menus with desired local properties.