1,721,015 research outputs found
Estimation of pre- and posttreatment average treatment effects with binary time-varying treatment using Stata
No full textIn this article, we describe tvdiff, a community-contributed command that implements a generalization of the difference-in-differences estimator to the case of binary time-varying treatment with pre- and postintervention periods. tvdiff is flexible and can accommodate many actual situations, enabling the user to specify the number of pre- and postintervention periods and a graphical representation of the estimated coefficients. In addition, tvdiff provides two distinct tests for the necessary condition of the identification of causal effects, namely, two tests for the so-called parallel-trend assumption. tvdiff is intended to simplify applied works on program evaluation and causal inference when longitudinal data are available
The Determinants of CO2 Emissions in MENA Countries: A Responsiveness Scores Approach
No full textThis paper examines the relationship among carbon dioxide (CO2) emissions, GDP, and energy in the Middle East and North Africa (MENA) countries by using a Responsiveness Scores (RS) approach. Empirical results over the period 1971–2013 suggest that GDP per capita and energy consumption show positive RSs, while trade and urban population negative ones. Moreover, energy consumption and urban population reveal moderate increasing returns to scale, while GDP per capita exhibits decreasing positive returns. Furthermore, three-way factors analysis sets out that most of the countries lays on regions with moderate negative Total Responsiveness Scores (TRS). This means that when all factors are jointly increased, CO2 emissions have a moderate decrease. In addition, some GCC countries present a different pattern compared to the average pattern of MENA countries. Finally, radar plots indicate that, overall, RS pattern over factors is moderately heterogeneous within GCC countries, with larger variability appearing in the response to urban population and GDP
Sequential pairwise trading. Convergence and welfare implications
No full textThis paper characterizes the out-of-equilibrium dynamics of a symmetric, pure exchange economy with two goods and N agents with uniformly distributed preferences and identical endowments. Relaxing the auctioneer assumption, but maintaining a global price rule, sequentially random pairwise trading at out-of-equilibrium prices is allowed. Initial mispricing implies rationing, determining excess demand (supply) fading away only at convergence, when the price of the initially cheaper (more expensive) good becomes more expensive (cheaper) than the walrasian one. The system converges when the sequential price reaches the walrasian price evaluated at current updated endowments. A perfectly symmetric setting, by initial mispricing and consequent rationed trading, creates asymmetric resource allocations even at convergence, where welfare is lower than a standardized 1% with respect to the auctioneer Pareto one.
This model sketches a possible basis for price over-reaction microfoundation and captures endogenous "wealth divide" among the population, induced by whether agent trading is dominated by good preferences or just by speculation around their prices.This paper characterizes the out-of-equilibrium dynamics of a symmetric, pure exchange economy with two goods and N agents with uniformly distributed preferences and identical endowments. Relaxing the auctioneer assumption, but maintaining a global price rule, sequentially random pairwise trading at out-of-equilibrium prices is allowed. Initial mispricing implies rationing, determining excess demand (supply) fading away only at convergence, when the price of the initially cheaper (more expensive) good becomes more expensive (cheaper) than the walrasian one. The system converges when the sequential price reaches the walrasian price evaluated at current updated endowments. A perfectly symmetric setting, by initial mispricing and consequent rationed trading, creates asymmetric resource allocations even at convergence, where welfare is lower than a standardized 1% with respect to the auctioneer Pareto one.
This model sketches a possible basis for price over-reaction microfoundation and captures endogenous "wealth divide" among the population, induced by whether agent trading is dominated by good preferences or just by speculation around their prices
A dose-response evaluation of a regional R&D subsidies policy
No full textThis paper evaluates the effects of a regional R&D policy in the Italian province of Trento from 2002 to 2007, an ideal testing ground for the role of local government and the effectiveness of an R&D place-based policy. Exploiting a unique database and using a counterfactual dose–response regression model, we perform an evaluation exercise of policy targets concerning employment, fixed and intangible assets. We find that two years after the award date, there exists an inverted u-shaped relationship between subsidies intensity and impact size: there exists a range of subsidy doses that is effective in stimulating employment and intangible assets growth. Instead, we do not find any additionality of the policy on fixed assets. At longer time span, i.e. four years after the award, the effect on employment growth persists and we do observe a mild effect on labor quality for intermediate grants spending. Moreover, the effect on intangible assets spending growth is also persistent for a similar interval of R&D subsidies amounts. We discuss the impact deriving some policy considerations
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Econometric Evaluation of Socio-Economic Programs : Theory and Applications /
No full textThis book provides advanced theoretical and applied tools for the implementation of modern micro-econometric techniques in evidence-based program evaluation for the social sciences. The author presents a comprehensive toolbox for designing rigorous and effective ex-post program evaluation using the statistical software package Stata. For each method, a statistical presentation is developed, followed by a practical estimation of the treatment effects. By using both real and simulated data, readers will become familiar with evaluation techniques, such as regression-adjustment, matching, difference-in-differences, instrumental-variables and regression-discontinuity-design, and are given practical guidelines for selecting and applying suitable methods for specific policy contexts.Includes bibliographical references at the end of each chapters.Preface -- 1 An Introduction to the Econometrics of Program Evaluation -- 2 Methods Based on Selection on Observables -- 3 Methods Based on Selection on Unobservables -- 4 Local Average Treatment Effect and Regression-Discontinuity-Design.This book provides advanced theoretical and applied tools for the implementation of modern micro-econometric techniques in evidence-based program evaluation for the social sciences. The author presents a comprehensive toolbox for designing rigorous and effective ex-post program evaluation using the statistical software package Stata. For each method, a statistical presentation is developed, followed by a practical estimation of the treatment effects. By using both real and simulated data, readers will become familiar with evaluation techniques, such as regression-adjustment, matching, difference-in-differences, instrumental-variables and regression-discontinuity-design, and are given practical guidelines for selecting and applying suitable methods for specific policy contexts
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