Homeownership, dissatisfaction and voting

This article explores the relationships between homeownership, dissatisfaction with city services, and voting turnout in local elections, using original survey data. Homeowners are more likely than renters to vote, but the pure effect of ownership is not robust to either basic socio-economic controls or an instrumental variable strategy. However, dissatisfaction has a positive, significant and robust effect on likelihood of voting. When interacting homeownership and dissatisfaction, the author finds that dissatisfied homeowners are significantly more likely to vote than both satisfied homeowners and all renters. This finding is consistent with Fischel’s (2001) homevoter hypothesis.     

A discrete‐choice model with social interactions: with an application to high school teen behavior

We develop an empirical discrete‐choice interaction model with a finite number of agents. We characterize its equilibrium properties—in particular the correspondence between interaction strength, number of agents, and the set of equilibria—and propose to estimate the model by means of simulation methods. In an empirical application, we analyze the individual behavior of high school teenagers in almost 500 school classes from 70 schools. In our baseline model endogenous social interaction effects are strong for behavior closely related to school (truancy), somewhat weaker for behavior partly related to school (smoking, cell phone ownership, and moped ownership) and absent for behavior far away from school (asking parents' permission for purchases). Intra‐gender interactions are generally much stronger than cross‐gender interactions. In a model with school‐specific fixed effects social interaction effects are insignificant, with the exception of intra‐gender interactions for truancy. Copyright © 2007 John Wiley & Sons, Ltd.     

Language and interaction: applying sociolinguistics to social network analysis

Quality & Quantity - In recent years social network analysis, influenced by relational sociology, has taken a cultural turn. One result has been a growing interest in...     

GMM estimation of social interaction models with centrality

This paper considers the specification and estimation of social interaction models with network structures and the presence of endogenous, contextual, correlated, and group fixed effects. When the network structure in a group is captured by a graph in which the degrees of nodes are not all equal, the different positions of group members as measured by the Bonacich (1987) centrality provide additional information for identification and estimation. In this case, the Bonacich centrality measure for each group can be used as an instrument for the endogenous social effect, but the number of such instruments grows with the number of groups. We consider the 2SLS and GMM estimation for the model. The proposed estimators are asymptotically efficient, respectively, within the class of IV estimators and the class of GMM estimators based on linear and quadratic moments, when the sample size grows fast enough relative to the number of instruments.     

Censored latent effects autoregression,with an application to US unemployment

A model is proposed to describe observed asymmetries in postwar unemployment time series data. We assume that recession periods, when unemployment increases rapidly, correspond with unobserved positive shocks. The generating mechanism of these latent shocks is a censored regression model, where linear combinations of lagged explanatory variables lead to positive shocks, while otherwise shocks are equal to zero. We apply this censored latent effects autoregression to monthly US unemployment, where the positive shocks are found to be predictable using various leading indicators. The model fits the data well and its out‐of‐sample forecasts appear to improve on those from alternative models. Copyright © 2002 John Wiley & Sons, Ltd.     

Inference on an extended Roy model,with an application to schooling decisions in France

This paper considers the identification and estimation of an extension of Roy’s model (1951) of sectoral choice, which includes a non-pecuniary component in the selection equation and allows for uncertainty on potential earnings. We focus on the identification of the non-pecuniary component, which is key to disentangling the relative importance of monetary incentives versus preferences in the context of sorting across sectors. By making the most of the structure of the selection equation, we show that this component is point identified from the knowledge of the covariate effects on earnings, as soon as one covariate is continuous. Notably, and in contrast to most results on the identification of Roy models, this implies that identification can be achieved without any exclusion restriction nor large support condition on the covariates. As a by-product, bounds are obtained on the distribution of the ex ante   monetary returns. We propose a three-stage semiparametric estimation procedure for this model, which yields root-n$n$ consistent and asymptotically normal estimators. Finally, we apply our results to the educational context, by providing new evidence from French data that non-pecuniary factors are a key determinant of higher education attendance decisions.     

A nonlinear long memory model, with an application to US unemployment

Two important empirical features of US unemployment are that shocks to the series seem rather persistent and that it seems to rise faster during recessions than that it falls during expansions. To jointly capture these features of long memory and nonlinearity, we put forward a new time series model and evaluate its empirical performance. We find that the model describes the data rather well and that it outperforms related competitive models on various measures of fit.     

Sovereign debt: Reputation, seizure and reputation

The interaction between a creditor and a sovereign debtor is described as a ‘one-shot’ game with discrete actions—total or no debt-repudiation and seizure of asset holding abroad. Possible Nash equilibria where each player chooses an action as to maximize his expected payoff given his beliefs about the other player’s action and the implications of those actions on the players’ trustworthy reputation are identified. However, if reputation losses rise convexly with the players’ relative hostility, partial repudiation and seizure can be the preferred strategies. The preferred repudiation and seizure rates are analyzed under asymmetric and symmetric information about the state of the world. (JEL classification F34)     

Rent control with reputation: theory and evidence

Rent-control policy is modeled as an implicit contract between voters of a community and suppliers of rental housing. It is shown that if residents can make an ex ante commitment to never adopt rent controls they will do so. When precommitment is not possible there are conditions under which a policy of never adopting rent controls is not self-enforcing. Under such circumstances a state-invariant ceiling price is shown to be a subgame-perfect equilibrium rent-control policy. The model is tested using data for New Jersey where local option regarding the choice of rent control policy was declared constitutional in the early 1970s. Probit analysis is used to determine whether predictions of the model are supported by an investigation of factors leading to imposition of rent controls by 64 of the 245 communities in the sample.     

Publication bias in the German social sciences: an application of the caliper test to three top-tier German social science journals

Systematic research reviews have become essential in all empirical sciences. However, the validity of research syntheses is threatened if the preparation, submission or publication of research findings depends on the statistical significance of these findings. The present study investigates publication bias in three top-tier journals in the German social sciences, utilizing the caliper test. For the period between 2001 and 2010, we have collected 156 articles that appeared in the Kölner Zeitschrift für Soziologie und Sozialpsychologie (KZfSS), the Zeitschrift für Soziologie (ZfS) and the Politische Vierteljahresschrift (PVS). In all three journals, we found empirical evidence for the existence of publication bias at the 10 % significance level. We also investigated possible causes linked to this bias, including single versus multiple authorship as well as academic degree. We found only weak support for the relationships between individual author characteristics and publication bias.     

A new structural break model,with an application to Canadian inflation forecasting

This paper develops an efficient approach to modelling and forecasting time series data with an unknown number of change-points. Using a conjugate prior and conditioning on time-invariant parameters, the predictive density and the posterior distribution of the change-points have closed forms. Furthermore, the conjugate prior is modeled as hierarchical in order to exploit the information across regimes. This framework allows breaks in the variance, the regression coefficients, or both. The regime duration can be modelled as a Poisson distribution. A new, efficient Markov chain Monte Carlo sampler draws the parameters from the posterior distribution as one block. An application to a Canadian inflation series shows the gains in forecasting precision that our model provides.     

A zero-inflated ordered probit model,with an application to modelling tobacco consumption

Data for discrete ordered dependent variables are often characterised by “excessive” zero observations which may relate to two distinct data generating processes. Traditional ordered probit models have limited capacity in explaining this preponderance of zero observations. We propose a zero-inflated ordered probit model using a double-hurdle combination of a split probit model and an ordered probit model. Monte Carlo results show favourable performance in finite samples. The model is applied to a consumer choice problem of tobacco consumption indicating that policy recommendations could be misleading if the splitting process is ignored.     

Armax model specification testing,with an application to unemployment in the Netherlands

In this paper we present a consistent standard normal model specification test for ARMAX models. The null hypothesis is that the ARMAX model represents the conditional expectation of the dependent variable relative to the entire past of the economic vector time series process under review. This null is tested against the general alternative hypothesis that the null is false. The test is applied to testing the rational expectations-natural rate (RE-NR) hypothesis for the Netherlands according to the approach of Sargent (1976). It appears that RE-NR hypothesis has to be rejected.     

Interplay between reputation and growth: the source,role and audience of reputation of rapid growth technology-based SMEs

Abstract

Drawing on resource-based view and signalling theory, this paper presents a comparative case of four (young vs. old; small vs. medium-sized) business-to-business firms to examine how (i.e. through which sources), why (i.e. for which managerial purposes) and for whom (i.e. for which audiences) do technology-based small and medium-sized enterprises build their reputation along the process of rapid growth? The results indicate that in the pre-growth stage product awards as well as technological and financial partners are important sources of reputation for demonstrating technological capabilities and firm sustainability to potential customers especially for young firms. Older firms, in turn, rely on technology partners and acquisitions in the rapid growth stage to convince existing customers that the firms’ can keep up with their customer’s changing needs. Moreover, the reputation gained from the first well-known customer and a focused clientele appear to be two critical antecedents of rapid growth whereas patents do not seem to have a significant reputational role in rapid growth. Our study informs the theory of reputation development of growing technology-based firms by abstracting a more nuanced understanding of stakeholder- and stage-contingent reputation that fosters rapid growth, and provides new insight into the literature on small firm growth.     

Critical social science and emancipation: II,development and application

How can industrial relations scholars engage with practice while remaining critical? Part I argued that a notion of real interests establishes the grounds for action. This notion can be developed in terms of differing dimensions of interests. These dimensions are illustrated using concrete examples. The dimensions do not provide direct answers in specific instances; personal judgement remains essential. But they provide some tools for thinking about these issues. They also help to identify the conditions under which intervention is unproblematic and hence where institutional reform in industrial relations and ‘uncritical management studies’ more generally can be acceptable from a critical point of view.     

Applied nonlinear dynamical system in social science. A nonlinear model for social control system: an application to Italian coercion system

Does an increase in police strength discourage an increase in crime levels? It would seem very likely so, despite the many platitudes common everywhere, even in the most serious literature on the subject. This research study, using Non-Linear Analysis on the Italian crime situation from 1985 to 2003, shows an almost non controvertible result. The police force really does seem to have a deterrence function on crime, particularly evident from the 90s on, where, as police strength increases, the number of crimes decrease. One of the most interesting aspects deriving from the non-linear model used, is the specific measurement of the number of crimes that might have been committed and that were not in virtue of the deterrent action of the Police Force. Up to now, such an acquisition seems to be lacking from other so called ‘traditional’ research, where such ‘indirect’ deterrence appears easily hypothesized, but impossible to determine. For this reason too, the adoption of a non-linear analysis logic shows its heuristic superiority able to shed light on certain aspects that in other analysis models would remain in the shadows.     

Prescribed conditional interaction structure models with application to the analysis of mobility tables

The present paper considers some new models for the analysis of multidimensional contigency tables. Although the theoretical background used here appeared already in Haberman (1974), prescribed conditional interaction (PCIN) models were introduced by Rudas (1987) and their mathematical properties were worked out by Leimer and Rudas (1988). These models are defined by prescribing the values of certain conditional interactions in the contingency table. Conditional interaction is defined here as the logarithm of an appropriately defined conditional odds ratio. This conditional odds ratio is a conditional version of a generalization of the well known odds ratio of a 2×2 table and that of the three factor interaction term of a 2×2×2 table and applies to any number of dimensions and any number of categories of the variables. The well known log-linear (LL) models are special PCIN models. Estimated frequencies under PCIN models and tests of fit can be computed using existing statistical software (e.g. BMDP). The paper describes the class of PCIN models and compares it to the class of association models of Goodman (1981). As LL models are widely used in the analysis of social mobility tables, application of more general PCIN models is illustrated.     

Simultaneous confidence bands: Theory,implementation, and an application to SVARs

Simultaneous confidence bands are versatile tools for visualizing estimation uncertainty for parameter vectors, such as impulse response functions. In linear models, it is known that that the sup‐t confidence band is narrower than commonly used alternatives—for example, Bonferroni and projection bands. We show that the same ranking applies asymptotically even in general nonlinear models, such as vector autoregressions (VARs). Moreover, we provide further justification for the sup‐t band by showing that it is the optimal default choice when the researcher does not know the audience's preferences. Complementing existing plug‐in and bootstrap implementations, we propose a computationally convenient Bayesian sup‐t band with exact finite‐sample simultaneous credibility. In an application to structural VAR impulse response function estimation, the sup‐t band—which has been surprisingly overlooked in this setting—is at least 35% narrower than other off‐the‐shelf simultaneous bands.