1,720,955 research outputs found

    Estimando la política cambiaria según la paridad de poder de compra: el caso peruano, colombiano y chileno 1960-2015

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    El trabajo tiene como objetivo principal evaluar el cumplimiento de la hipótesis de la Paridad de Poder de Compra (PPP) tomando en cuenta una gran amplitud temporal para los países de Chile, Colombia y Perú, para el periodo 1960 al 2015. La elección de estos tres países se debe al comportamiento y tendencias similares en indicadores económicos y demográficos relevantes a través del tiempo, tales como el PBI, el total de reservas internacionales netas y la población, así como la integración comercial y financiera que se inició con la Alianza del Pacífico en la última década. Desde la perspectiva metodológica, se empleó para la estimación de la PPP la versión relativa aproximada, debido a un mejor ajuste de los datos. Ésta es menos restrictiva que la versión absoluta porque no necesita que la conformación de la canasta de índices de precios al consumidor de la economía doméstica sea igual a la extranjera. A partir de la ecuación de la PPP la versión relativa aproximada se procedió a evaluar la PPP aplicando la metodología Lineal y no Lineal. Las variables utilizadas son la inflación trimestral de Perú, Chile, Colombia y Estados Unidos; y la depreciación trimestral de Perú, Chile y Colombia. Para la parte lineal, se evalúa la PPP en su versión relativa mediante la estimación del MCO para el periodo 1960 al 2015. Sin embargo, al trabajar con series extensas que presentan periodos de alta volatilidad y posibles outliers las pruebas de raíz unitaria podrían presentar problemas de potencia. Por ello, es necesaria la aplicación de metodologías que permitan la identificación de outliers. Posteriormente, se vuelve a evaluar la presencia de raíz unitaria considerando la presencia de outliers aditivos. Luego, se realiza la estimación de los vectores autoregresivos y vectores de corrección de errores para las series de Perú, Colombia y Chile para el periodo 1960 al 2015. No se obtuvo evidencia estadística para aceptar la hipótesis de la PPP. Finalmente, en la última etapa de la parte líneal, se evaluar la presencia de posibles quiebres estructurales mediante la Prueba de quiebre estructural de Perron y Yabu. Dicha prueba indica la presencia de quiebres en las series de inflación y depreciación de Perú, Chile y Colombia. Para la parte no Lineal, se evalúa la PPP en su versión relativa mediante los modelos LSTAR. Debido a que los resultados indican que las series no se ajustan de manera adecuada a los modelos LSTAR, se procede a estimar los modelos de Markov Switching. Se obtienen resultados mixtos sobre la PPP para los 3 países. Existe evidencia estadística a favor de la PPP para ciertos periodos de tiempo en Perú y Chile, pero esto se da en periodos de mediana y baja volatilidad. Para Colombia no se logra obtener evidencia estadística consistente a favor de la PPP

    Markov switching modelling of interest rate pass-through

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    The first paper, "Interest rate pass-through and financial crises: do switching regimes matter? The case of Argentina", analyses the dynamic relationship between a money market (interbank) rate and different short-term lending rates by measuring their passthrough. Neither linear single-equation modelling nor linear multi-equation systems capture efficiently this relationship. Several financial crises alter the speed and degree of response to interbank rate shocks. Hence, a Markov switching VAR model shows the pass-through increases considerably for all market interest rates in a high-volatility scenario. The model identifies correctly the periods in which regime shifts occur, and associates them to financial crises. The second paper, "Modelling interest rate pass-through with endogenous switching regimes in Argentina", extends the scope of the Markov switching modelling by including time-varying transition probabilities. Interest rate spreads are used as leading indicators. The model allows devaluation expectations and country risks, (measured by rate spreads) to signal regime switching. Estimation results suggest that the passthrough tends to overshoot with financial instability, but to decrease if that condition is sufficiently large and long-lived. Likewise, results show a quite heterogeneous credit market, with a highly efficient transmission mechanism in the corporate segment, but considerably less in the consumer segment. The final paper, "Regime switching in interest rate pass-through and dynamic bank modelling with risks", builds a theoretical model of dynamic bank optimisation, which provides rationale to a regime-switching behaviour in the interest rate pass-through. It is shown that a regime-switching interbank rate induces a nonlinear behaviour in lending and deposit rates and (by further introducing interbank-alike regime-switching risk premiums) in the pass-through. Thus, the pass-through process is consistent with a nonlinear behaviour even if there are no asymmetric adjustment costs in the response to interbank rate shocks. An empirical application to France and Germany provide results that support these conclusions

    Markov switching modelling of interest rate pass-through

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    The first paper, "Interest rate pass-through and financial crises: do switching regimes matter? The case of Argentina", analyses the dynamic relationship between a money market (interbank) rate and different short-term lending rates by measuring their passthrough. Neither linear single-equation modelling nor linear multi-equation systems capture efficiently this relationship. Several financial crises alter the speed and degree of response to interbank rate shocks. Hence, a Markov switching VAR model shows the pass-through increases considerably for all market interest rates in a high-volatility scenario. The model identifies correctly the periods in which regime shifts occur, and associates them to financial crises. The second paper, "Modelling interest rate pass-through with endogenous switching regimes in Argentina", extends the scope of the Markov switching modelling by including time-varying transition probabilities. Interest rate spreads are used as leading indicators. The model allows devaluation expectations and country risks, (measured by rate spreads) to signal regime switching. Estimation results suggest that the passthrough tends to overshoot with financial instability, but to decrease if that condition is sufficiently large and long-lived. Likewise, results show a quite heterogeneous credit market, with a highly efficient transmission mechanism in the corporate segment, but considerably less in the consumer segment. The final paper, "Regime switching in interest rate pass-through and dynamic bank modelling with risks", builds a theoretical model of dynamic bank optimisation, which provides rationale to a regime-switching behaviour in the interest rate pass-through. It is shown that a regime-switching interbank rate induces a nonlinear behaviour in lending and deposit rates and (by further introducing interbank-alike regime-switching risk premiums) in the pass-through. Thus, the pass-through process is consistent with a nonlinear behaviour even if there are no asymmetric adjustment costs in the response to interbank rate shocks. An empirical application to France and Germany provide results that support these conclusions.EThOS - Electronic Theses Online ServiceUniversity of Warwick. Dept. of EconomicsBanco Central de Reserva del PerúGBUnited Kingdo

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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