We consider competitive bidding for a business license, via an open ascending-price auction, between two symmetric incumbents and a potential entrant, each of whom is privately informed about her own valuation of the license. Entry stands to reduce the payoff of each incumbent below that in...

This paper studies the role of bundling in the efficient provision of excludable public goods. We show that bundling in the provision of unrelated public goods can enhance social welfare. With a large number of goods and agents, first best can be approximated with pure bundling. For a parametric...

According to globalization, certain kinds of public goods, which used to be working as the goods just in a national economy, are getting internationalized or released for foreigners as well. In addition, those goods often exhibit differentiated features for a certain degree. The goods as such...

Microfinance programmes provide poor people with small loans given to jointly liable self-selected groups. Follow-up loans provide incentives to repay. In an experiment we investigate the influence of those features on strategic default. Each group member invests in an individual risky project,...

We conduct an experiment to explore the durability and transferability of the increase in contributions to a public good resulting from the existence of a particular type of implicit informal sanction. Rege and Telle (2003) find that in one-shot games, the sanctioning system leads to high...

In this paper, we adopt the collective approach to consumer behavior --- which supposes that each household member is characterized by his/her own preferences and the decision process results in Pareto-efficient outcomes --- and assume, in addition, that agents are egoistic and consumption is...

In this paper, we propose the use of bootstrapping methods to obtain correct critical values for dating breaks. Following the procedure proposed in Banerjee, Lazarova and Urga (1998), we consider the case of estimating a system with two or more marginal processes and a conditional process....

This paper considers the nonlinear regression with integrated regressors that are contemporaneously correlated with the regression error. We, in particular, establish the consistency and derive the limiting distribution of the nonlinear least squares estimator under such endogeneity for the...

This paper analyzes conditions under which various k-class estimators are asymptotically normal in a simultaneous equations framework with many weak instruments. In particular, our paper extends the many instruments asymptotic normality results obtained by Morimune (1983), Bekker (1994), Angrist...

We consider a semiparametric log periodogram regression estimation of memory parameter $d$ for non-stationary fractional time series using wavelet transformation. We propose wavelet-based log periodogram regression estimator, and obtain the asymptotic mean squared error, consistency and...