Leakage and Comparative Advantage Implications of Agricultural Participation in Greenhouse Gas Emission Mitigation

The world is moving toward efforts to reduce greenhouse gas emissions. Net emission reduction efforts may involve the agricultural sector through options such as planting of trees, crop and livestock management changes, and production of biofuels. However, such options can be competitive with domestic food production. In a free trade arena, reduced domestic food production could stimulate increased production and exports in other countries, which are not pursuing similar mitigative courses of action. As a consequence, net emission reductions in implementing countries may be offset by activities stimulated in other countries. In addition producers in countries where agriculture is subject to greenhouse gas mitigation have expressed concern about their competitive position to countries which are not trying to reduce net emissions.Emission Leakage, Agricultural Sector Model, Greenhouse Gas Policy, Mitigation, Carbon Sequestration

CoxPhLb: An R Package for Analyzing Length Biased Data under Cox Model

Data subject to length-biased sampling are frequently encountered in various applications including prevalent cohort studies and are considered as a special case of left-truncated data under the stationarity assumption. Many semiparametric regression methods have been proposed for lengthbiased data to model the association between covariates and the survival outcome of interest. In this paper, we present a brief review of the statistical methodologies established for the analysis of length-biased data under the Cox model, which is the most commonly adopted semiparametric model, and introduce an R package CoxPhLb that implements these methods. Specifically, the package includes features such as fitting the Cox model to explore covariate effects on survival times and checking the proportional hazards model assumptions and the stationarity assumption. We illustrate usage of the package with a simulated data example and a real dataset, the Channing House data, which are publicly available

Performance, growth and earnings management

We study the relationship between the amount of managed earnings and firms' earnings performance and expected growth in a reporting model, where managers manipulate earnings to influence the valuation of firms' equity while bearing a cost that is increasing and convex in the amount of managed earnings. In the unique revealing equilibrium to the model, firms with higher performance and growth over-report earnings by a larger amount because price responsiveness increases with earnings performance and growth. And earnings quality, defined as the proportion of true economic earnings in total reported earnings, increases with earnings performance but decreases with earnings growth. We conduct empirical tests on a large sample and a restatement sample using different proxies for earnings management. Results from the large sample tests support our predictions while results from the restatement sample tests are mixed. Our study provides an alternative explanation to the positive relationship between discretionary accruals estimated from the Jones model and firms' performance and growth.Business, FinanceCPCI-SSH(ISSHP)SSCI1