This paper develops new recursive, set based methods for studying repeated games with private monitoring. For any finite-state strategy profile, we find necessary and sufficient conditions for whether there exists a distribution over initial states such that the strategy, together with this distribution, form a correlated sequential equilibrium (CSE). Also, for any given correlation device for determining initial states (including degenerate cases where players' initial states are common knowledge), we provide necessary and sufficient conditions for the correlation device and strategy to be a CSE, or in the case of a degenerate correlation device, for the strategy to be a sequential equilibrium. We also consider several applications. In these, we show that the methods are computationally feasible, and how to construct and verify equilibria in a secret price-setting game.

We extend the well-known occupational choice model of entrepreneurship by analyzing the mode of entry. Individuals can become entrepreneurs by taking over established businesses or starting up new ventures from scratch. We argue that the new venture creation mode is associated with higher levels of schooling whereas managerial experience, new venture start-up capital requirements and industry level risk promote the takeover mode. A sample of data on entrepreneurs from The Netherlands provides broad support for these hypotheses, and also bears out a prediction that entrepreneurs whose parents run a family firm tend to invest the least in schooling. We go on to discuss the implications for researchers, entrepreneurs and public policy makers.

This study proposes a new customer lifetime model: the gamma/Gompertz distribution (G/G). The advantage of this model relative to the well-known Pareto distribution is twofold: (i) its probability density function can exhibit a mode at zero or an interior mode, and (ii) it can be skewed to the right or to the left. We combine the G/G with a negative binomial distribution (NBD) and obtain the moments of the distribution of the number of transactions over (0, T] and (T, T+T * ]. Out of six data sets, the G/G/NBD model provides a notable improvement in the log-likelihood over the Pareto/NBD model in four data sets. It can indicate substantial differences in expected residual lifetimes compared to the Pareto/NBD and induce a retention rather than acquisition policy. On the average, the G/G/NBD exhibits slightly better forecasts of the mean number of transactions than the Pareto/NBD. This paper was accepted by Pradeep Chintagunta, marketing.

The evolution of new organizational forms has attracted growing theoretical and empirical attention, but little research has considered the microsocial processes that promote the emergence of groups of quasi-similar organizations that sometimes evolve into new organizational forms. Drawing from social psychological and sociological theories of identity formation, we explain processes of individual identification and collective identity development that precede and promote the formation of similar clusters, which audiences can then recognize and distinguish from established organizational populations and other emerging similarity clusters.

We propose a new inverse probability weighting (IPW) estimator for moment condition models with missing data. Our estimator is easy to implement and compares favourably with existing IPW estimators, including augmented IPW estimators, in terms of efficiency, robustness, and higher-order bias. We illustrate our method with a study of the relationship between early Black–White differences in cognitive achievement and subsequent differences in adult earnings. In our data set, the early childhood achievement measure, the main regressor of interest, is missing for many units.

This article investigates how private firms respond to potential entry from public firms. This paper uses a data set of over 3,000 U.S. cable TV systems to present evidence consistent with entry deterrence. Incumbent cable TV firms upgrade faster when located in markets with a potential municipal entrant. However, the same systems are then slower to offer new products enabled by the upgrade, suggesting upgrades in these markets occur for strategic reasons. Incumbent cable systems also upgrade faster in response to municipal entry threats than to private entry threats. Understanding how private firms respond to potential entry from public firms is especially important in light of recent U.S. government entry into several industries. This paper was accepted by Bruno Cassiman, business strategy.

This paper develops a model that speaks to the goals and methods of financial-stability policies. There are three main points. First, from a normative perspective, the model defines the fundamental market failure to be addressed, namely that unregulated private money creation can lead to an externality in which intermediaries issue too much short-term debt and leave the system excessively vulnerable to costly financial crises. Second, it shows how in a simple economy where commercial banks are the only lenders, conventional monetary-policy tools such as open-market operations can be used to regulate this externality, while in more advanced economies it may be helpful to supplement monetary policy with other measures. Third, from a positive perspective, the model provides an account of how monetary policy can influence bank lending and real activity, even in a world where prices adjust frictionlessly and there are other transactions media besides bank-created money that are outside the control of the central bank.

Using a large sample of accounting data for non-financial companies in France, this paper studies the interactions between macroeconomic shocks and companies’ financial fragility. We consider links in both directions, namely whether firms’ bankruptcies are affected by macroeconomic variables, and whether bankruptcies determine the business cycle. We estimate forecasting equations for firms’ bankruptcy using Shumway's (2001) approach and study the joint dynamics of bankruptcies and macroeconomic variables within an exogenous VAR type model estimated at the sector level. We find evidence of reciprocal links between the bankruptcy rate and the output gap and highlight significant “second round effects” of shocks to the output gap on bankruptcies. We show how taking into account the dynamic transmission of macroeconomic shocks matters in stress testing exercises.

This paper examines granularity adjustments to parameter estimators in a default risk model with cohorts. The model is an extension of the Vasicek model (Vasicek, 1991) and includes a general factor and cohort specific factors. The granularity adjustments derived in the paper concern the mean and/or the variance of observed default frequencies and are easy to implement in practice. For illustration, the method is applied to the S&P corporate ratings. The Granularity Adjusted (GA) estimators are compared to the unadjusted estimators in terms of their asymptotic properties and in finite sample.

The delta method and continuous mapping theorem are among the most extensively used tools in asymptotic derivations in econometrics. Extensions of these methods are provided for sequences of functions that are commonly encountered in applications and where the usual methods sometimes fail. Important examples of failure arise in the use of simulation-based estimation methods such as indirect inference. The paper explores the application of these methods to the indirect inference estimator (IIE) in first order autoregressive estimation. The IIE uses a binding function that is sample size dependent. Its limit theory relies on a sequence-based delta method in the stationary case and a sequence-based implicit continuous mapping theorem in unit root and local to unity cases. The new limit theory shows that the IIE achieves much more than (partial) bias correction. It changes the limit theory of the maximum likelihood estimator (MLE) when the autoregressive coefficient is in the locality of unity, reducing the bias and the variance of the MLE without affecting the limit theory of the MLE in the stationary case. Thus, in spite of the fact that the IIE is a continuously differentiable function of the MLE, the limit distribution of the IIE is not simply a scale multiple of the MLE, but depends implicitly on the full binding function mapping. The unit root case therefore represents an important example of the failure of the delta method and shows the need for an implicit mapping extension of the continuous mapping theorem.