Level of access and infrastructure investment in network industries

In this paper, we study how the terms of access to an incumbent’s infrastructure (i.e., the level of access and price) affect an entrant’s incentives to build its own infrastructure. Setting a high level of access (e.g., a resale arrangement), which requires relatively small up-front investment for entry, accelerates market entry, but at the same time delays the deployment of the entrant’s infrastructure. This is also true for a lower access price. We show that the socially optimal access price can vary non-monotonically with the level of access. We also study the case where access is provided at two different levels, and show that access provision at multiple levels can delay infrastructure building. Finally, we modify our baseline model to allow for experience and/or market share acquisition via access-based entry, and show that high levels of access may accelerate facility-based entry.     

Robust political economy correlates of major product and labor market reforms in advanced economies: Evidence from BAMLE for logit models

The political economy literature has put forward a multitude of hypotheses regarding the drivers of structural reforms, but few, if any, empirically robust findings have emerged thus far. To make progress, we draw a parallel with model uncertainty in the growth literature and provide a new version of the Bayesian averaging of maximum likelihood estimates (BAMLE) technique tailored to binary logit models. Relying on a new database of major past labor and product market reforms in advanced countries, we test a large set of variables for robust correlation with reform in each area. We find widespread support for the crisis‐induces‐reform hypothesis, as high unemployment and economic crises are robustly correlated to structural reforms. We also find evidence of reform convergence—that is, countries with tighter regulation are more prone to liberalize. Reforms are more likely when other countries also undertake them and when there is formal pressure to implement them. Other robust correlates are more specific to certain areas—for example, international pressure and political factors are most relevant for product market and job protection reforms, respectively.     

Can Reform Waves Turn the Tide? Some Case Studies using the Synthetic Control Method

A number of advanced economies carried out a sequence of extensive reforms of their labor and product markets in the 1990s and early 2000s. Using the Synthetic Control Method (SCM), this paper implements six case studies of well-known waves of reforms, those of New Zealand, Australia, Denmark, Ireland and Netherlands in the 1990s, and the labor market reforms in Germany in the early 2000s. In four of the six cases, GDP per capita was higher than in the control group as a result of the reforms. No difference between the treated country and its synthetic counterpart could be found in the cases of Denmark and New Zealand, which in the latter case may have partly reflected the implementation of reforms under particularly weak macroeconomic conditions. Overall, also factoring in the limitations of the SCM in this context, the results are suggestive of a positive but heterogenous effect of reform waves on GDP per capita.     

Nonparametric density estimation in compound Poisson processes using convolution power estimators

Consider a compound Poisson process which is discretely observed with sampling interval $\Delta $ until exactly $n$ nonzero increments are obtained. The jump density and the intensity of the Poisson process are unknown. In this paper, we build and study parametric estimators of appropriate functions of the intensity, and an adaptive nonparametric estimator of the jump size density. The latter estimation method relies on nonparametric estimators of $m$ th convolution powers density. The $L^2$ -risk of the adaptive estimator achieves the optimal rate in the minimax sense over Sobolev balls. Numerical simulation results on various jump densities enlight the good performances of the proposed estimator.     

Consumers’ Behaviors and Attitudes toward Doggy Bags: Identifying Barriers and Benefits to Promoting Behavior Change

ABSTRACT

This study identifies barriers and benefits of consumers’ current doggy bag behaviors and provides the information required to run an effective community-based social marketing campaign encouraging consumers to take their uneaten restaurant and café food home. This is done by applying a two-stage methodology, including quantitatively analyzing existing survey data and qualitatively investigating focus group discussion. Multiple barriers to widespread doggy bag participation were common and varied for different individuals and included both convenience and social stigma-related factors. The rational appeal of “saving money” was found to be the most effective motivator for encouraging doggy bag usage, especially for women, young people, students/unemployed, and low-income earners. Social marketing strategies and behavior change tools can be developed to remove the barriers and enhance the benefits of using doggy bags, such as developing positive social norms around using doggy bags and highlighting the financial incentive of using them. This research contributes to a limited but growing literature on out-of-home food waste and provides practicable insights for both public policy and for the food service sector for future initiatives aiming to reduce food waste.     

Comparaisons de divers types de programmes de stabilisation des revenus agricoles du Québec

Deux modèles de programmation mathématique (MOTAD–cible statique et MOTAD-cible dynamique) ont été utilisés pour analyser l'impact de trois différents programmes d'intervention gouvernementale sur l'allocation optimale des ressources et sur les revenus totaux d'une ferme représentative au Québec. Les résultats montrent que sous les scénarios ASRA/ASREC et RARB, les revenus espérés sont supérieurs pour le RARB comparativement à ASRA/ASREC à un bas niveau de risque, mais ils sont du même ordre lorsqu'on considère les niveaux de risque plus élevés. L'allocation des ressources et la taille de la ferme sont quelque peu différentes. Afin de comparer ces deux programmes d'intervention, deux ratios ont été calculés : les dépenses nettes des gouvernements par rapport au revenu brut et au revenu net de l'entreprise. Les résultats montrent qu'un programme de type RARB est supérieur à un programme de type ASRA/ASREC, et ce, même si les transferts par unité assurée sont les mêmes. Sous le scénario CSRN, les résultats indiquent que les fermes ont des tailles de deux à quatre fois plus petites que dans les scénarios ASRA/ASREC ou RARB et que la stratégie financière des dépôts et des retraits dans le compte CSRN est déterminante dans l'augmentation du revenu espéré de la ferme.     

Borders and Growth

This paper presents a framework to understand and measure the effects of political borders on economic growth and per capita income levels. In our model, political integration between two countries results in a positive country size effect and a negative effect through reduced openness vis-à-vis the rest of the world. Additional effects stem from possible changes in other growth determinants, besides country size and openness, when countries are merged. We estimate the growth effects that would have resulted from the hypothetical removal of national borders between pairs of adjacent countries under various scenarios. We identify country pairs where political integration would have been mutually beneficial. We find that full political integration would have slightly reduced an average country's growth rate, while most countries would benefit from a more limited form of merger, involving higher economic integration with their neighbors.     

EQUITY CORRELATIONS IMPLIED BY INDEX OPTIONS: ESTIMATION AND MODEL UNCERTAINTY ANALYSIS

We propose a method for constructing an arbitrage‐free multiasset pricing model which is consistent with a set of observed single‐ and multiasset derivative prices. The pricing model is constructed as a random mixture of N reference models, where the distribution of mixture weights is obtained by solving a well‐posed convex optimization problem. Application of this method to equity and index options shows that, whereas multivariate diffusion models with constant correlation fail to match the prices of index and component options simultaneously, a jump‐diffusion model with a common jump component affecting all stocks enables to do so. Furthermore, we show that even within a parametric model class, there is a wide range of correlation patterns compatible with observed prices of index options. Our method allows, as a by product, to quantify this model uncertainty with no further computational effort and propose static hedging strategies for reducing the exposure of multiasset derivatives to model uncertainty.     

The short-term timing of initial public offerings

This paper examines the effect of stock market conditions on the waiting time of initial public offering (IPO) candidates, from the date firms file a registration statement with the Securities and Exchange Commission (SEC) to the effective IPO date. I find that issuers are going public faster when time-varying stock market valuations are high, and when time-varying market returns and time-varying market volatility are low. The volatility effect is not driven by regulatory delays consecutive to changes in the terms of the offers during the IPO process. Taken together, these results indicate that firms use a short-term market timing strategy when deciding the right time to go public and are consistent with a real option interpretation of IPO timing.