Estimating the gravity model when zero trade flows are frequent and economically determined

ABSTRACT

Since the 1950s, we have known that the presence of zero-valued dependent variables can seriously bias econometric estimates whether the zeros are included or excluded. Yet the widely-used gravity model is frequently estimated on samples that include large fractions of zeros. An influential paper by Santos Silva and Tenreyro – based on simulations that include no economically-determined zeros – concludes that the bias problems resulting from zeros and those resulting from heteroscedasticity and nonlinearity can be solved using the Poisson Pseudo-Maximum-Likelihood (PPML) model including the zero values. This paper begins by adapting the Santos Silva and Tenreyro experimental design to include economically-determined zeros to see whether this conclusion continues to hold. With this design, it finds that alternative estimators have lower bias than PPML. Changing to a Monte Carlo design that replicates the much-higher real-world frequency of predicted values near zero restores the finding of lower bias with the PPML estimator. The results highlight the need for very careful design of Monte Carlo experiments when evaluating alternative estimators of the gravity model.     

The So-Called 2015 Migration Crisis and Euroscepticism in Border Regions: Facing Re-Bordering Trends in the Danish–German Borderlands

ABSTRACT

This paper examines the role of Euroscepticism on regional cross-border cooperation between Germany and Denmark. It demonstrates that Euroscepticism, while absent from local mainstream politicians, had already caused civic unrest in the 1997 attempts to construct a return to history Euro-region Schleswig. It resulted in a re-scaling of the Euro-Region to Region and Schleswig to “Sønderjylland/Schleswig”, omitting any reference to Europe, European identity or a commitment to a closer European union in the relevant agreements. Border controls, on the agenda in 2011 and again since 2015, have demonstrated the institutional weakness of cross-border politics when faced with determined initiatives from the national center. Furthermore, the Eurosceptic Danish People’s Party had its best results in the border precincts both at the latest European and Danish national elections. Euroscepticism, even though difficult to measure on a regional level, seems to have been an ever present underneath current despite a political rhetoric of successful cooperation and cross-border reconciliation. The Danish-German case’s development might be more distinct, but nonetheless representative for European border (and cross-border) regions. While European metropolises develop into thriving cosmopolitan post-nation state societies, this is not necessary the case at Europe’s borders, where categorization and bordering remain common social practices by the large majority of national borderlanders with only a small portion of transnational borderlanders or ‘regionauts’ getting involved in border crossing social practices on a larger scale.     

Researching taste: an interview of Antoine Hennion

ABSTRACT

Antoine Hennion is a Professor of Sociology at the Centre de Sociologie de l’Innovation (Mines-Paris Tech, PSL/CNRS). He has been researching taste and cultural practices through a pragmatic lens for three decades. He has developed an original and impactful theoretical framework bridging the Actor-Network Theory to Cultural Studies. More precisely, he reconceptualized the notions of mediation and attachment. Antoine Hennion has explored various empirical settings, including music, wine, and sports. More recently, he has contributed to a large research project on migration. His books and academic articles have had an impact on Sociology, and are getting greater attention in consumer research.     

Estimating within‐cluster spillover effects using a cluster randomization with application to knowledge diffusion in rural India

Spillover effects within randomized clusters pose a challenge for identifying impacts of an individualized treatment. The paper proposes a solution. Longitudinal and intra‐household observations are combined in estimating the direct knowledge gain from watching an info‐movie in rural India, while randomized village assignment identifies knowledge sharing. Simulations on synthetic data and econometric tests provide support for the estimation method. We find evidence of information sharing, but far less so for disadvantaged groups, such as illiterate and lower‐caste individuals; these groups rely more on actually seeing the movie. Our results are consistent with sizeable biases in ordinary least squares, matching or instrumental variable impact estimators that ignore within‐cluster spillovers.     

Jensen's alpha and the market‐timing puzzle

Theory predicts that market‐timing activities bias Jensen's alpha (JA). However, empirical studies have failed to find consistent evidence of this bias. We tackle this puzzle in a nested model analysis and show that the bias contains an exogenous market component that is unrelated to market‐timing skill. In a comprehensive empirical analysis of US mutual funds, we find that the timing‐induced bias in JA is mainly driven by this market component, which is uncorrelated with measured timing activities. Measures of total performance that allow for timing activities are virtually identical to JA, even if timing activities are present in the evaluated fund. Hence, we conclude that JA is a sufficient measure of total performance.     

The True Meaning of ‘Social Justice’: A Catholic View of Hayek

Hayek's well‐known dismissal of the concept of ‘social justice’ is examined and questioned. While basically agreeing with Hayek's critique, the author argues that we should not entirely reject this concept, although it is often used in a vague and emotional way – ‘social justice talk’. Drawing on the tradition of classical liberalism and Catholic social teaching, he makes the case for the true meaning of social justice, which applies to the basic legal and institutional framework of a society rather than the distributional outcomes of market processes.     

A Bayesian Semiparametric Competing Risk Model with Unobserved Heterogeneity

This paper generalizes existing econometric models for censored competing risks by introducing a new flexible specification based on a piecewise linear baseline hazard, time‐varying regressors, and unobserved individual heterogeneity distributed as an infinite mixture of generalized inverse Gaussian (GIG) densities, nesting the gamma kernel as a special case. A common correlated latent time effect induces dependence among risks. Our model is based on underlying latent exit decisions in continuous time while only a time interval containing the exit time is observed, as is common in economic data. We do not make the simplifying assumption of discretizing exit decisions—our competing risk model setup allows for latent exit times of different risk types to be realized within the same time period. In this setting, we derive a tractable likelihood based on scaled GIG Laplace transforms and their higher‐order derivatives. We apply our approach to analyzing the determinants of unemployment duration with exits to jobs in the same industry or a different industry among unemployment insurance recipients on nationally representative individual‐level survey data from the US Department of Labor. Our approach allows us to conduct a counterfactual policy experiment by changing the replacement rate: we find that the impact of its change on the probability of exit from unemployment is inelastic. Copyright © 2014 John Wiley & Sons, Ltd.     

The Environmental Kuznets Curve,Cointegration and Nonlinearity

This paper clarifies some conceptual shortcomings of the empirical environmental Kuznets curve (EKC) literature that arise because of the hitherto inadequate application of unit root and cointegration techniques. The literature to date has ignored the fact, and a fortiori the consequences, that powers of integrated processes are themselves not integrated processes. The paper explains why standard methods should not be applied and discusses some recently proposed viable estimation and testing approaches for cointegrating polynomial regressions. The application to CO₂ and SO₂ emissions data shows that using appropriate methods leads to strongly reduced evidence for a cointegrating EKC compared to typical but conceptually not sound findings. Copyright © 2014 John Wiley & Sons, Ltd.     

Propuesta de indicadores SMARTER de trabajo decente para la agenda de desarrollo posterior a 2015

Los indicadores actuales de los ODM sobre empleo presentan deficiencias importantes, como problemas de medición, uso inadecuado de estadísticas agregadas, ambigüedad interpretativa y supuestos de base no aplicables a los países en desarrollo. Tratando de superar estos problemas, los autores proponen cuatro nuevos indicadores de empleo productivo y trabajo decente: el crecimiento de la contribución del trabajo al valor añadido por trabajador, la tasa de trabajadores pobres y los porcentajes de trabajadores que ganan menos de un ingreso laboral mínimo absoluto y relativo (el 60 por ciento de la mediana del ingreso laboral). Aplican empíricamente estos indicadores a los casos de Uganda y Perú.     

Combining “real effort” with induced effort costs: the ball-catching task

We introduce the “ball-catching task”, a novel computerized task, which combines a tangible action (“catching balls”) with induced material cost of effort. The central feature of the ball-catching task is that it allows researchers to manipulate the cost of effort function as well as the production function, which permits quantitative predictions on effort provision. In an experiment with piece-rate incentives we find that the comparative static and the point predictions on effort provision are remarkably accurate. We also present experimental findings from three classic experiments, namely, team production, gift exchange and tournament, using the task. All of the results are closely in line with the stylized facts from experiments using purely induced values. We conclude that the ball-catching task combines the advantages of real effort tasks with the use of induced values, which is useful for theory-testing purposes as well as for applications.