Children’s reasoning about other’s intentions: False-belief and counterfactual conditional inferences

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Necesidad lógica y lógica condicional

El artículo pretende, en primer lugar, caracterizar brevemente la idea de verdad necesaria en Leibniz a los efectos de mostrar cómo en el desarrollo de las investigaciones lógicas ella se ha ido debilitando al extremo de convertirse en una de las tantas posibles interpretaciones del operador de necesidad. Se muestra, además, que ello ha sucedido tanto en los sistemas generados a partir de las semánticas de Kripke para la lógica modal clásica como para los sistemas de lógica, para los condicionales contrafácticos de David Lewis y para los condicionales derrotables de Carlos Alchourrón.

Necesidad lógica y lógica condicional

El artículo pretende, en primer lugar, caracterizar brevemente la idea de verdad necesaria en Leibniz a los efectos de mostrar cómo en el desarrollo de las investigaciones lógicas ella se ha ido debilitando al extremo de convertirse en una de las tantas posibles interpretaciones del operador de necesidad. Se muestra, además, que ello ha sucedido tanto en los sistemas generados a partir de las semánticas de Kripke para la lógica modal clásica como para los sistemas de lógica, para los condicionales contrafácticos de David Lewis y para los condicionales derrotables de Carlos Alchourrón.

Necesidad lógica y lógica condicional

El artículo pretende, en primer lugar, caracterizar brevemente la idea de verdad necesaria en Leibniz a los efectos de mostrar cómo en el desarrollo de las investigaciones lógicas ella se ha ido debilitando al extremo de convertirse en una de las tantas posibles interpretaciones del operador de necesidad. Se muestra, además, que ello ha sucedido tanto en los sistemas generados a partir de las semánticas de Kripke para la lógica modal clásica como para los sistemas de lógica, para los condicionales contrafácticos de David Lewis y para los condicionales derrotables de Carlos Alchourrón.

Raciocínio contrafactual e modelos mentais

A ideia central deste estudo é de que «... raciocinar sobre factos e raciocinar sobre possibilidades e impossibilidades, baseia-se nos mesmos tipos de representações mentais e processos cognitivos» (Byrne, 1997, p. 107). Quer dizer que as pessoas raciocinam através da construção e revisão de modelos mentais (e.g., Johnson-Laird, Byrne, 1991). As condicionais contrafactuais requerem que os raciocinadores tenham em mente não apenas o que é suposto ser verdadeiro, mas também o que é supostamente verdadeiro mas factualmente falso (Byrne, 1997, p. 117; cf. Johnson-Laird, Byrne, 1991, pp. 72- -73). E a hipótese de que a representação inicial de uma condicional contrafactual é mais explícita do que a de uma condicional factual, permite prever que as inferências Modus Tollens e Negação do Antecedente deverão ser feitas com maior frequência a partir das condicionais contrafactuais do que das factuais. Byrne e Tasso (in press) encontraram evidência para esta hipótese. No estudo que apresentamos, também procuramos replicar esses resultados encontrados por Byrne e Tasso, e acrescentamos algumas hipóteses relacionadas com as latências para compreender os dois tipos de condicionais, e para escolher a conclusão. Utilizamos condicionais neutras do tipo «Se houve um círculo, então houve um triângulo», e apresentamos aos participantes os quatro silogismos condicionais no programa SUPERLAB.

Oaxaca-Blinder type counterfactual decomposition methods for duration outcomes

Los métodos disponibles para realizar análisis de descomposición que se pueden aplicar cuando los datos son completamente observados, no son válidos cuando la variable de interés es censurada. Esto puede explicar la escasez de este tipo de ejercicios considerando variables de duración, las cuales se observan usualmente bajo censura. Este documento propone un método del tipo Oaxaca-Blinder para descomponer diferencias en la media en el contexto de datos censurados. La validez de dicho método radica en la identificación y estimación de la distribución conjunta de la variable de duración y un conjunto de covariables. Adicionalmente, se propone un método más general que permite descomponer otros funcionales de interés como la mediana o el coeficiente de Gini, el cual se basa en la especificación de la función de distribución condicional de la variable de duración dado un conjunto de covariables. Con el fin de evaluar el desempeño de dichos métodos, se realizan experimentos tipo Monte Carlo. Finalmente, los métodos propuestos son aplicados para analizar las brechas de género en diferentes características de la duración del desempleo en España, tales como la duración media, la probabilidad de ser desempleado de largo plazo y el coeficiente de Gini. Los resultados obtenidos permiten concluir que los factores diferentes a las características observables, tales como capital humano o estructura del hogar, juegan un papel primordial para explicar dichas brechas.

Conditional cash transfers, schooling and child labor : micro-simulating bolsa escola

Cash transfers targeted to poor people, but conditional on some behavior on their part, such as school attendance or regular visits to health care facilities, are being adopted in a growing number of developing countries. Even where ex-post impact evaluations have been conducted, a number of policy-relevant counterfactual questions have remained unanswered. These are questions about the potential impact of changes in program design, such as benefit levels or the choice of the means-test, on both the current welfare and the behavioral response of household members. This paper proposes a method to simulate the effects of those alternative program designs on welfare and behavior, based on microeconometrically estimated models of household behavior. In an application to Brazil’s recently introduced federal Bolsa Escola program, we find a surprisingly strong effect of the conditionality on school attendance, but a muted impact of the transfers on the reduction of current poverty and inequality levels.

The impact of grants in the agriculture sector in Albania: a counterfactual approach

The objective of this study is to measure the impact of the national subsidy scheme on the olive and fruit sector in two regions of Albania, Shkodra and Fier. From the methodological point of view, we use a non- parametric approach based on the propensity score matching. This method overcomes problem of the missing data, by creating a counterfactual scenario. In the first step, the conditional probability to participate in the program was computed. Afterwards, different matching estimators were applied to establish whether the subsidies have affected sectors performance. One of the strengths of this study stays in the data. Cross-sectional primary data was gathered through about 250 interviews.. We have not found empirical evidence of significant effects of government aid program on production. Differences in production found between beneficiaries and non-beneficiaries disappear after adjustment by the conditional probability of participating into the program. This suggests that subsidized farmers would have performed better than the subsidized households even in the absence of production grants, revealing program self-selection. On the other hand, the scheme has affected positively the farm structure increasing the area under cultivation, but yields has not increased for beneficiaries compared to non beneficiaries. These combined results shed light on the reason of the missed impact. It could be reasonable to believe that the new plantation, in particular in the case of olives, has not yet reached full production. Therefore, we have reasons to believe on positive impacts in the future. Concerning some qualitative results, the extension of area under cultivation is strongly conditioned by the small farm size. This together with a thin land market makes extremely difficult the expansion beyond farm boundaries.

Modeling multivariate autoregressive conditional heteroskedasticity with the double smooth transition conditional correlation GARCH Model

In this paper, we propose a multivariate GARCH model with a time-varying conditional correlation structure. The new double smooth transition conditional correlation (DSTCC) GARCH model extends the smooth transition conditional correlation (STCC) GARCH model of Silvennoinen and Teräsvirta (2005) by including another variable according to which the correlations change smoothly between states of constant correlations. A Lagrange multiplier test is derived to test the constancy of correlations against the DSTCC-GARCH model, and another one to test for another transition in the STCC-GARCH framework. In addition, other specification tests, with the aim of aiding the model building procedure, are considered. Analytical expressions for the test statistics and the required derivatives are provided. Applying the model to the stock and bond futures data, we discover that the correlation pattern between them has dramatically changed around the turn of the century. The model is also applied to a selection of world stock indices, and we find evidence for an increasing degree of integration in the capital markets.

Conditional coskewness and asset pricing

We explore the empirical usefulness of conditional coskewness to explain the cross-section of equity returns. We find that coskewness is an important determinant of the returns to equity, and that the pricing relationship varies through time. In particular we find that when the conditional market skewness is positive investors are willing to sacrifice 7.87% annually per unit of gamma (a standardized measure of coskewness risk) while they only demand a premium of 1.80% when the market is negatively skewed. A similar picture emerges from the coskewness factor of Harvey and Siddique (Harvey, C., Siddique, A., 2000a. Conditional skewness in asset pricing models tests. Journal of Finance 65, 1263–1295.) (a portfolio that is long stocks with small coskewness with the market and short high coskewness stocks) which earns 5.00% annually when the market is positively skewed but only 2.81% when the market is negatively skewed. The conditional two-moment CAPM and a conditional Fama and French (Fama, E., French, K., 1992. The cross-section of expected returns. Journal of Finance 47,427465.) three-factor model are rejected, but a model which includes coskewness is not rejected by the data. The model also passes a structural break test which many existing asset pricing models fail.

Tax morale and conditional cooperation

Why so many people pay their taxes, even though fines and audit probability are low, is a central question in the tax compliance literature. Positing a homo oeconomicus having a refined motivation structure sheds light on this puzzle. This paper provides empirical evidence for the relevance of conditional cooperation, using survey data from 30 West and East European countries. We find a high correlation between perceived tax evasion and tax morale. The results remain robust after exploiting endogeneity and conducting several robustness tests. We also observe a strong positive correlation between institutional quality and tax mmorale. Keywords: Tax morale; Tax compliance; Tax evasion; Pro-social behavior; Institutions