Does mixed frequency vector error correction model add relevant information to exchange misalignment calculus? Evidence for United States

Real exchange rate is an important macroeconomic price in the economy and a ects economic activity, interest rates, domestic prices, trade and investiments ows among other variables. Methodologies have been developed in empirical exchange rate misalignment studies to evaluate whether a real e ective exchange is overvalued or undervalued. There is a vast body of literature on the determinants of long-term real exchange rates and on empirical strategies to implement the equilibrium norms obtained from theoretical models. This study seeks to contribute to this literature by showing that it is possible to calculate the misalignment from a mixed ointegrated vector error correction framework. An empirical exercise using United States' real exchange rate data is performed. The results suggest that the model with mixed frequency data is preferred to the models with same frequency variables

Bounds on policy relevant parameters with discrete policy variation

When estimating policy parameters, also known as treatment effects, the assignment to treatment mechanism almost always causes endogeneity and thus bias many of these policy parameters estimates. Additionally, heterogeneity in program impacts is more likely to be the norm than the exception for most social programs. In situations where these issues are present, the Marginal Treatment Effect (MTE) parameter estimation makes use of an instrument to avoid assignment bias and simultaneously to account for heterogeneous effects throughout individuals. Although this parameter is point identified in the literature, the assumptions required for identification may be strong. Given that, we use weaker assumptions in order to partially identify the MTE, i.e. to stablish a methodology for MTE bounds estimation, implementing it computationally and showing results from Monte Carlo simulations. The partial identification we perfom requires the MTE to be a monotone function over the propensity score, which is a reasonable assumption on several economics' examples, and the simulation results shows it is possible to get informative even in restricted cases where point identification is lost. Additionally, in situations where estimated bounds are not informative and the traditional point identification is lost, we suggest a more generic method to point estimate MTE using the Moore-Penrose Pseudo-Invese Matrix, achieving better results than traditional methods.

Are all new market entry strategic dimensions equally relevant?: insights from some chilean experts?

This thesis looks into the strategic dimensions that Multi-National Companies (MNC) consider when they start the operation in a new country in Latin America and if all have the same weight or relevance when doing the strategic decisions as a guide to land onto a new country. Understanding the weight that MNCs gives to them can prompt to understand the reasons behind the success stories, the struggles - and even failures - that some companies had in the aforementioned region. The approach was via an initial analysis of the scholar bibliography in order to define three main dimensions in the models or frameworks that deal with the strategy used to land. After this, and through interviews, was found out how relevant are each of them for their companies, how they weight them and if there were other dimensions considered. The question that this thesis contributes to understand is if all new market strategic dimensions are equally relevant for a MNC when arriving to Latin America. The results show a predominance of the cultural aspect and in second place, the considered entry strategy (alliances, speed, size, etc.).