Institution
Instituto Tecnológico Autónomo de México
Education•Mexico 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.
Topics: Politics, Population, Estimator, Interest rate, Context (language use)
Papers published on a yearly basis
Papers
More filters
••
TL;DR: The authors examined the relationship between wealth accumulation and job search dynamics and found that borrowing constraints are tight and reinforce the influence of wealth on job acceptance decisions, namely that more initial wealth and access to larger amounts of credit increase wages and unemployment duration.
Abstract: This article examines the relationship between wealth accumulation and job search dynamics. It proposes a model in which risk-averse individuals search for jobs, save, and borrow to smooth their consumption. One motivation for accumulating wealth is to finance voluntary quits in order to search for better jobs. Using data on men from the National Longitudinal Survey (1979 cohort), I estimate the individual's dynamic decision problem. The results show that borrowing constraints are tight and reinforce the influence of wealth on job acceptance decisions, namely that more initial wealth and access to larger amounts of credit increase wages and unemployment duration.
62 citations
••
TL;DR: Analysis of science productivity for nine developing countries shows that these nations are reducing their science gap, with R&D investments and scientific impact growing at more than double the rate of the developed world.
Abstract: This paper analyzes science productivity for nine developing countries. Results show that these nations are reducing their science gap, with R&D investments and scientific impact growing at more than double the rate of the developed world. But this “catching up” hides a very uneven picture among these nations, especially on what they are able to generate in terms of impact and output relative to their levels of investment and available resources. Moreover, unlike what one might expect, it is clear that the size of the nations and the relative scale of their R&D investments are not the key drivers of efficiency.
62 citations
•
TL;DR: In this paper, Monte Carlo simulation is applied to the valuation of securities that contain many (buying or selling) rights, but for which a limited number can be exercised per period, and penalties if a minimum quantity is not exercised before maturity.
Abstract: This paper introduces the application of Monte Carlo simulation technology to the valuation of securities that contain many (buying or selling) rights, but for which a limited number can be exercised per period, and penalties if a minimum quantity is not exercised before maturity. These securities combine the characteristics of American options, with the additional constraint that only a few rights can be exercised per period and, therefore, their price depends also on the number of living rights (i.e., American-Asian-style payoffs), and forward securities. These securities give flexibility-of-delivery options and are common in energy markets (e.g., take-or-pay or swing options) and as real options (e.g., the development of a mine). First, we derive a series of properties for the price and the optimal exercise frontier of these securities. Second, we price them by simulation, extending the Ibanez and Zapatero (2004) method to this problem.
62 citations
••
TL;DR: In this paper, a new class of nonparametric prior distributions is introduced and studied, which are constructed via normalization of random measures driven by increasing additive processes, and results for the distribution of means under both prior and posterior conditions are presented.
Abstract: This paper introduces and studies a new class of nonparametric prior distributions. Random probability distribution functions are constructed via normalization of random measures driven by increasing additive processes. In particular, we present results for the distribution of means under both prior and posterior conditions and, via the use of strategic latent variables, undertake a full Bayesian analysis. Our class of priors includes the well-known and widely used mixture of a Dirichlet process.
61 citations
••
TL;DR: Application of normalized matched filtering to fetal QRS complexes enhancement and a new approach to the final detection of the complexes allow a significant increase of the detection performance for signals of very different quality.
61 citations
Authors
Showing all 1112 results
Name | H-index | Papers | Citations |
---|---|---|---|
Stanislav Pospisil | 105 | 966 | 44510 |
Romeo Ortega | 82 | 778 | 30251 |
Enrique Alba | 57 | 530 | 14535 |
Maria Merino | 56 | 190 | 11282 |
Manuel A. S. Santos | 47 | 255 | 9081 |
Aaron Tornell | 46 | 139 | 10575 |
Georges Zaccour | 43 | 319 | 7245 |
Carlos Velasco | 42 | 220 | 6186 |
Francisco J. Cervantes | 37 | 144 | 5401 |
Hussain Shareef | 35 | 376 | 5377 |
Diego Restuccia | 31 | 95 | 5817 |
Stephen Haber | 30 | 98 | 4326 |
Igor Prünster | 29 | 106 | 3033 |
Víctor M. González | 28 | 165 | 4209 |
Antonio Lijoi | 28 | 123 | 3066 |