Instituto Tecnológico Autónomo de México

About: Instituto Tecnológico Autónomo de México is a education organization based out in Mexico City, Mexico. It is known for research contribution in the topics: Politics & Population. The organization has 1098 authors who have published 2532 publications receiving 39083 citations. The organization is also known as: Instituto Tecnologico Autonomo de Mexico & Mexico Autonomous Institute of Technology.

Decomposition of Gender Differentials in Agricultural Productivity in Ethiopia

Abstract: This paper employs decomposition methods to analyze differences in agricultural productivity between male and female land managers in Ethiopia. It employs data from the 2011-2012 Ethiopian Rural Socioeconomic Survey. An overall 23.4 percent gender differential in agricultural productivity is estimated at the mean in favor of male land managers, of which 10.1 percentage points are explained by differences in land manager characteristics, land attributes, and unequal access to resources (the endowment effect). The remaining 13.4 percentage points are explained by unequal returns to productive components, but cannot be easily tied to specific covariates. These results are mainly driven by non-married female managers (mainly single and divorced). Married female managers do not display such disadvantages. Further analysis along the productivity distribution reveals that gender differentials are more pronounced at mid-levels of productivity and that the share of the gender gap explained by the endowment effect declines as productivity increases. Detailed decomposition of estimates at selected points of the agricultural productivity distribution provides valuable information for policy intervention purposes.

Economic effects of global warming under stock growth uncertainty: the European sardine fishery

Abstract: Global warming of the oceans is expected to alter the environmental conditions that determine the growth of a fishery resource. Most climate change studies are based on models and scenarios that focus on economic growth, or they concentrate on simulating the potential losses or cost to fisheries due to climate change. However, analysis that addresses model optimisation problems to better understand the complex dynamics of climate change and marine ecosystems is still lacking. In this paper, a simple algorithm to compute transitional dynamics in order to quantify the effect of climate change on the European sardine fishery is presented. The model results indicate that global warming will not necessarily lead to a monotonic decrease in the expected biomass levels. Our results show that if the resource is exploited optimally, then in the short run, increases in the surface temperature of the fishery ground are compatible with higher expected biomass and economic profit.

Demand for Lotteries: The Choice between Stocks and Options

Abstract: The literature has demonstrated that stocks with skewness-like characteristics – lotteryness– are the target of a type of investors willing to pay a premium to achieve exposure to skewness. We show that only stocks without options written on them have the potential to attract skewness-seeking investors; furthermore, out-of-the-money options are the dominant security with lottery characteristics for skewness investors. Finally, we find evidence that suggests that skewness-seeking in out-of-the money options ist driven mainly by retail investors, while average negative returns in at-the- money options seem to be linked to the covered-call strategies of mutual funds.

When Do Sensitive Survey Questions Elicit Truthful Answers? Theory and Evidence with Application to the RRT and the List Experiment

Abstract: Corruption, vote buying, and other sensitive topics are difficult to study because people tend to under-report them in surveys. The degree of under-reporting bias has been shown to vary across studies, contexts, and question structures, but no systematic explanation for the variation has been advanced. I provide a simple theory that describes conditions under which an individual is more - or less - likely to respond truthfully to a sensitive question. The theory is based on the intuition that respondents lie to avoid looking bad in the eyes of interviewers. The main implication is that a respondent's second-order beliefs about the interviewer's priors are a key determinant of truthfulness. Empirical analysis of original data supports this claim: respondent's second-order beliefs correlate strongly with self-reported nonvoting and cheating. I show how second-order beliefs can be used to adjust for under-reporting bias.