Some Additional Specification Tests for Generalized Method of Moments Estimators with Macro-Economic Applications Part I : Theory

In This Paper Several Additional Gmm Specification Tests Are Studied. a First Test Is a Chow-Type Test for Structural Parameter Stability of Gmm Estimates. the Test Is Inspired by the Fact That \"Taste and Technology\" Parameters Are Uncovered. the Second Set of Specification Tests Are Var Encompassing Tests. It Is Assumed That the Dgp Has a Finite Var Representation. the Moment Restrictions Which Are Suggested by Economic Theory and Exploited in the Gmm Procedure Represent One Possible Characterization of the Dgp. the Var Is a Different But Compatible Characterization of the Same Dgp. the Idea of the Var Encompassing Tests Is to Compare Parameter Estimates of the Euler Conditions and Var Representations of the Dgp Obtained Separately with Parameter Estimates of the Euler Conditions and Var Representations Obtained Jointly. There Are Several Ways to Construct Joint Systems Which Are Discussed in the Paper. Several Applications Are Also Discussed.

Estimating Nonlinear DSGE Models by the Simulated Method of Moments

This paper studies the application of the simulated method of moments (SMM) for the estimation of nonlinear dynamic stochastic general equilibrium (DSGE) models. Monte Carlo analysis is employed to examine the small-sample properties of SMM in specifications with different curvature. Results show that SMM is computationally efficient and delivers accurate estimates, even when the simulated series are relatively short. However, asymptotic standard errors tend to overstate the actual variability of the estimates and, consequently, statistical inference is conservative. A simple strategy to incorporate priors in a method of moments context is proposed. An empirical application to the macroeconomic effects of rare events indicates that negatively skewed productivity shocks induce agents to accumulate additional capital and can endogenously generate asymmetric business cycles.

Zoning of the commercial poultry industry in Ontario as a method of avian influenza mitigation

L’Organisation mondiale de la santé animale (OIE) est l’institution internationale responsable de la mise en place des mesures sanitaires associées aux échanges commerciaux d’animaux vivants. Le zonage est une méthode de contrôle recommandée par l’OIE pour certaines maladies infectieuses, dont l’influenza aviaire. Les éclosions d’influenza aviaire été extrêmement coûteuses pour l’industrie avicole partout dans le monde. Afin d’évaluer la possibilité d’user de cette approche en Ontario, les données sur les sites de production avicole ont été fournies par les fédérations d’éleveurs de volailles ce cette province. L’information portant sur les industries associées à la production avicole, soit les meuneries, les abattoirs, les couvoirs, et les usines de classification d’œufs, a été obtenue par l’entremise de plusieurs sources, dont des représentants de l’industrie avicole. Des diagrammes de flux a été crée afin de comprendre les interactions entre les sites de production et les industries associées à ceux-ci. Ces industries constituaient les éléments de bas nécessaires au zonage. Cette analyse a permis de créer une base de données portant sur intrants et extrants de production pour chaque site d’élevage avicole, ainsi que pour les sites de production des industries associées à l’aviculture. À l’aide du logiciel ArcGIS, cette information a été fusionnée à des données géospatiales de Statistique Canada de l’Ontario et du Québec. La base de données résultante a permis de réaliser les essais de zonage. Soixante-douze essais ont été réalisés. Quatre ont été retenus car celles minimisaient de façon similaire les pertes de production de l’industrie. Ces essais montrent que la méthode utilisée pour l’étude du zonage peut démontrer les déficits et les surplus de production de l’industrie avicole commerciale en Ontario. Ceux-ci pourront servir de point de départ lors des discussions des intervenants de l’industrie avicole, étant donné que la coopération et la communication sont essentielles au succès du zonage.

Whither RDS? An investigation of respondent driven sampling as a method of recruiting mainstream marijuana users.

Background: An important challenge in conducting social research of specific relevance to harm reduction programs is locating hidden populations of consumers of substances like cannabis who typically report few adverse or unwanted consequences of their use. Much of the deviant, pathologized perception of drug users is historically derived from, and empirically supported, by a research emphasis on gaining ready access to users in drug treatment or in prison populations with higher incidence of problems of dependence and misuse. Because they are less visible, responsible recreational users of illicit drugs have been more difficult to study. Methods: This article investigates Respondent Driven Sampling (RDS) as a method of recruiting experienced marijuana users representative of users in the general population. Based on sampling conducted in a multi-city study (Halifax, Montreal, Toronto, and Vancouver), and compared to samples gathered using other research methods, we assess the strengths and weaknesses of RDS recruitment as a means of gaining access to illicit substance users who experience few harmful consequences of their use. Demographic characteristics of the sample in Toronto are compared with those of users in a recent household survey and a pilot study of Toronto where the latter utilized nonrandom self-selection of respondents. Results: A modified approach to RDS was necessary to attain the target sample size in all four cities (i.e., 40 'users' from each site). The final sample in Toronto was largely similar, however, to marijuana users in a random household survey that was carried out in the same city. Whereas well-educated, married, whites and females in the survey were all somewhat overrepresented, the two samples, overall, were more alike than different with respect to economic status and employment. Furthermore, comparison with a self-selected sample suggests that (even modified) RDS recruitment is a cost-effective way of gathering respondents who are more representative of users in the general population than nonrandom methods of recruitment ordinarily produce. Conclusions: Research on marijuana use, and other forms of drug use hidden in the general population of adults, is important for informing and extending harm reduction beyond its current emphasis on 'at-risk' populations. Expanding harm reduction in a normalizing context, through innovative research on users often overlooked, further challenges assumptions about reducing harm through prohibition of drug use and urges consideration of alternative policies such as decriminalization and legal regulation.

The Politics of Poverty in the European Union: How States Respond to the Open Method of Coordination on Social Inclusion

This article assesses the responses of EU-15 member states to the poverty reduction objectives of the Open Method of Coordination (OMC) on social inclusion between 2001 and 2006. As a flexible mechanism of information sharing between governments, the OMC could not produce strong convergence. A thorough analysis of the OMC documents indeed points to the enduring power of national institutions and partisan politics, for the three dimensions of social inclusion identified by the EU (rights, labour market policies, and participation). There was however some learning and adaptation around emerging policy ideas like activation and the participation of people experiencing poverty.

Efficient estimation using the characteristic function : theory and applications with high frequency data

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The great asymmetry : America's closest allies in times of war

This dissertation focuses on military cooperation between the United States and its special allies. It argues that alliance expectations determine the level of military cooperation, while two intervening variables - the level of government cohesion and military capabilities - determine its implementation. This study also shows how secondary states deploy strategies to overcome power asymmetries through bilateral concessions, international organizations and by appealing to principle. The focus of the research is on special allies, as they have the most to gain or lose by going along with American plans. My contention is that secondary allies can rarely influence the dominant ally decisively, but they can act autonomously and resist to pressures exerted by the stronger alliance partner. The argument builds on three central claims. First, power asymmetries between allies translate into different assessments of international threats. Second, when disagreements over threats arise, the outcome of intra-alliance bargaining is not necessarily dictated by the preferences of the stronger power. Third, secondary states, as opposed to the dominant partner, face unique constraints when facing major foreign policy decisions, i.e. they face a trade-off between establishing a credible reputation as an alliance partner in a politically feasible way while minimizing domestic audience costs. To examine the theoretical puzzle presented by asymmetric military cooperation, I introduce a causal explanation that builds on neoclassical realism, to zone in on the interaction between systemic and domestic variables. My research makes a contribution to alliance theory and foreign policy decision-making by studying how special allies respond to American decisions in times of threat and how systemic constraints are channeled through state-level variables. To investigate the causal link between threat perception, alliance expectations and domestic constraints, this study relies on the method of structured focused comparison with three detailed case studies. The focus is on the initial decision made by special allies regarding whether or not to participle in joint mobilization with the United States. The decision-making process is presented from the perspective of secondary allied states and measures the explanatory factors that motivated the decision on military cooperation. The case studies are the UK, Canada and Australia’s response to the war in Afghanistan and the war in Iraq during the period of 2001 to 2003.

An Axiomatization of the Serial Cost-Sharing Method

We o¤er an axiomatization of the serial cost-sharing method of Friedman and Moulin (1999). The key property in our axiom system is Group Demand Monotonicity, asking that when a group of agents raise their demands, not all of them should pay less.