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Institution

Instituto Tecnológico Autónomo de México

EducationMexico City, Mexico
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.


Papers
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Journal ArticleDOI
TL;DR: This work provides closed-form solutions for European option values when the dynamics of both the short rate and volatility of the underlying price process are modulated by a continuous-time Markov chain with a finite number of ''economic states''.

65 citations

Journal ArticleDOI
TL;DR: In this article, the authors employ the knowledge-based view (KBV) to explore underpricing across 17 countries and find that agency indicators are insignificant predictors, board of director knowledge limits under-pricing, and external knowledge both substitutes for and complements internal board knowledge.
Abstract: Prior studies of IPO underpricing, mostly using agency theory and single-country samples, have generally fallen short. In this study, we employ the knowledge-based view (KBV) to explore underpricing across 17 countries. We find that agency indicators are insignificant predictors, board of director knowledge limits underpricing, and external knowledge both substitutes for and complements internal board knowledge. This third finding suggests that future KBV studies should consider how internal and external knowledge states interact with each other. Our study offers new insights into the antecedents of underpricing and extends our understanding of comparative governance and the KBV of the firm.

65 citations

Journal ArticleDOI
TL;DR: In this paper, a unified treatment of the continuous and the discrete-time cases is presented, and two new extended regressor matrices, one which guarantees a quantifiable transient performance improvement, and the other exponential convergence under conditions that are strictly weaker than regressor persistence of excitation.
Abstract: We present some new results on the dynamic regressor extension and mixing parameter estimators for linear regression models recently proposed in the literature. This technique has proven instrumental in the solution of several open problems in system identification and adaptive control. The new results include the following, first, a unified treatment of the continuous and the discrete-time cases; second, the proposal of two new extended regressor matrices, one which guarantees a quantifiable transient performance improvement , and the other exponential convergence under conditions that are strictly weaker than regressor persistence of excitation; and, third, an alternative estimator ensuring convergence in finite-time whose adaptation gain, in contrast with the existing one, does not converge to zero. Simulations that illustrate our results are also presented.

64 citations

Journal ArticleDOI
TL;DR: In this article, a business cycle model of a small, open economy that incorporates formal and informal labor markets and calibrates it to Mexico is presented, showing that informal employment in Mexico is countercyclical, lags the cycle and is negatively correlated with formal employment.

64 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present the conditions for optimal quantitative restrictions on vehicle use and for complementary abatement technologies for reducing vehicular emissions in Mexico City, based on both static and dynamic formulations of the control problem, in which for the first time in the literature the use of tradeable vehicle use permits is proposed as a cost effective complement to technological abatements for mobile emissions control.
Abstract: Many large cities in the world have serious ground level ozone problems, largely the product of vehicular emissions and thus the argued unsustainability of current urban growth patterns is frequently blamed on unrestricted private vehicle use. This article reviews Mexico City's experience with vehicle use restrictions as an emissions control program and develops the conditions for optimal quantitative restrictions on vehicle use and for complementary abatement technologies. The stochastic nature of air pollution outcomes is modelled explicitly in both the static and dynamic formulations of the control problem, in which for the first time in the literature the use of tradeable vehicle use permits is proposed as a cost-effective complement to technological abatement for mobile emissions control. This control regime gives the authorities a broader and more flexible set of instruments with which to deal more effectively with vehicle emissions, and with seasonal and stochastic variation of air quality outcomes. The market in tradeable vehicle use permits would be very competitive with low transactions costs. This control policy would have very favorable impacts on air quality, vehicle congestion and on urban form and development. Given the general political resistance to environmental taxes, this program could constitute a workable and politically palatable set of policies for controlling greenhouse gas emissions from the transport sector.

64 citations


Authors

Showing all 1112 results

NameH-indexPapersCitations
Stanislav Pospisil10596644510
Romeo Ortega8277830251
Enrique Alba5753014535
Maria Merino5619011282
Manuel A. S. Santos472559081
Aaron Tornell4613910575
Georges Zaccour433197245
Carlos Velasco422206186
Francisco J. Cervantes371445401
Hussain Shareef353765377
Diego Restuccia31955817
Stephen Haber30984326
Igor Prünster291063033
Víctor M. González281654209
Antonio Lijoi281233066
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20235
202236
2021175
2020133
2019143
2018136