The geography of output volatility

This paper examines the structural determinants of output volatility in developing countries, and especially the roles of geography and institutions. We investigate the volatility effects of market access, climate variability, the geographic predisposition to trade, and various measures of institutional quality. We find an especially important role for market access: remote countries are more likely to have undiversified exports and to experience greater volatility in output growth. Our results are based on Bayesian methods that allow us to address formally the problem of model uncertainty and to examine robustness across a wide range of specifications.     

Are bygones not bygones? Modeling price-level targeting with an escape clause and lessons from the gold standard

Like the gold standard, price-level targeting (PT) involves not letting past deviations of inflation be bygones; both regimes return the price level (or price of gold) to its target. The experience of suspension of the gold standard in World War I and resumption in the 1920s (for some countries at a different parity) is reviewed. It suggests that, in practice, PT might operate with an escape clause that would allow rebasing of the price target in the face of large shocks. Using a calibrated general equilibrium model, we show that such an escape clause can produce multiple equilibria. For some parameterizations, there is a low credibility equilibrium (with high expectation of a reset) associated with high output volatility and frequent resets. These problems reduce, or reverse, the expectational advantage PT has over inflation targeting.     

Family networks and school enrolment: Evidence from a randomized social experiment

We present evidence on whether and how a household's behavior is influenced by the presence and characteristics of its extended family. Using data from the PROGRESA program in Mexico, we exploit information on the paternal and maternal surnames of heads and spouses in conjunction with the Spanish naming convention to identify the inter- and intra-generational family links of each household to others in the same village. We then exploit the randomized research design of the PROGRESA evaluation data to identify whether the treatment effects of PROGRESA transfers on secondary school enrolment vary according to the characteristics of extended family. We find PROGRESA only raises secondary enrolment among households that are embedded in a family network. Eligible but isolated households do not respond. The mechanism through which the extended family influences household schooling choices is the redistribution of resources within the family network from eligibles that receive de facto unconditional cash transfers from PROGRESA, towards eligibles on the margin of enrolling children into secondary school.     

Monetary policy tradeoffs between financial stability and price stability

We analyze the impact of interest rate policy on financial stability in an environment where banks can experience runs on their short‐term liabilities forcing them to sell assets at fire‐sale prices. Price adjustment frictions and a state‐dependent risk of financial crisis create the possibility of a policy tradeoff between price stability and financial stability. Focusing on Taylor rules with monetary policy possibly reacting to banks’ short‐term liabilities, we find that the optimized policy uses the extra tool to support investment at the expense of higher inflation and output volatility.     

Is television advertising being placed to reach product users?

Several textbooks, journal articles, and advertising practitioners indicate that the advertising for many products should be directed toward the heavy users of the product category. Other works suggest that advertising should be directed at current users of a brand to retain them or to users of competitive brands in an effort to attract them. The purpose of this article is to compare these directions for how advertising should be placed with data showing how advertising is being placed. The comparison is made using supermarket scanner panel data and household advertising exposure data. Examples are also provided to indicate the extent to which advertising could be targeted to heavy users of the product category and users of a brand, given the actual viewing and consumption patterns. Several implications for the placement of advertising are discussed.     

Particle filters for continuous likelihood evaluation and maximisation

In this paper, a method is introduced for approximating the likelihood for the unknown parameters of a state space model. The approximation converges to the true likelihood as the simulation size goes to infinity. In addition, the approximating likelihood is continuous as a function of the unknown parameters under rather general conditions. The approach advocated is fast and robust, and it avoids many of the pitfalls associated with current techniques based upon importance sampling. We assess the performance of the method by considering a linear state space model, comparing the results with the Kalman filter, which delivers the true likelihood. We also apply the method to a non-Gaussian state space model, the stochastic volatility model, finding that the approach is efficient and effective. Applications to continuous time finance models and latent panel data models are considered. Two different multivariate approaches are proposed. The neoclassical growth model is considered as an application.     

Pro-cyclical effect of sovereign rating changes on stock returns: a fact or factoid?

This article examines the effect of changes in sovereign credit ratings and their outlook on the stock market returns of European countries at different phases of business cycle. Using standard four-factor model, it records a significant average marginal effect of credit rating announcements on stock market returns. Both magnitude and significance of the effect vary with business cycle and across announcement types. However, we do not find evidence of pro-cyclical effect of sovereign rating and outlook changes on stock returns. Our results show that stock markets react more negatively to rating downgrades in recovery phases and more positively to rating upgrades in contractionary period. Both results are statistically significant and robust to various sensitivity tests.     

Driving restrictions that work? Quito's Pico y Placa Program

Programs to reduce traffic congestion and air pollution by restricting use of motor vehicles on working days have generally not met with success, given existing studies of such programs. We conduct the first study of Quito, Ecuador's four‐year‐old Pico y Placa program and find that it has reduced ambient concentrations of carbon monoxide (CO), a pollutant primarily emitted by vehicles, by 9% to 11% during peak traffic hours. Given that ambient concentrations of CO generally track the spatial and temporal distributions of traffic, these reductions in pollution suggest similar reductions in vehicle flows. We find no significant evidence that traffic has shifted to other times of the day or week, or to other locations.     

Disclosure of reserve quantum in the extractive industries

We explore why some firms in the extractive industries disclose mineral reserve quantum in their annual reports and others do not. We propose that the firms' reserve disclosure policies are a function of the extent of information asymmetries, as well as information production, litigation and proprietary costs. More specifically, we propose that a firm's decisions to disclose reserves in the annual report are a function of the stage of the firm's operations, use of project financing, and the cost of measuring reserves. Empirical tests are confirmatory.