In this paper, we propose a tractable model to study the impact of path-dependent reference points on optimal trading strategies of a realization utility investor. We find that when reference points are adaptive to prior paper gains and losses, two interesting effects arise endogenously: (a)...

We present a method for estimating Markov dynamic models with unobserved state variables which can be serially correlated over time. We focus on the case where all the model variables have discrete support. Our estimator is simple to compute because it is noniterative, and involves only...

A growing body of literature is investigating the social and cultural determinants of household financing activity. This paper examines the impact of traditional culture, specifically Confucian culture in China, on informal household financing at the county level. We find that Confucian culture...

We consider a privately informed issuer which holds a portfolio of assets that can be sold to raise cash, where the fractions of assets sold serve as a multidimensional signal. If good news about one asset is good news for the others, then there is a unique equilibrium that satisfies the...

We present a method for estimating Markov dynamic models with unobserved state variables which can be serially correlated over time. We focus on the case where all the model variables have discrete support. Our estimator is simple to compute because it is noniterative, and involves only...

We present a method for estimating Markov dynamic models with unobserved state variables which can be serially correlated over time. We focus on the case where all the model variables have discrete support. Our estimator is simple to compute because it is noniterative, and involves only...

Using the credit card application data provided by a major credit card issuer, we estimate the demand for credit card using a regression discontinuity method. Our method exploits a unique feature of the credit card solicitation campaign design, i.e. credit issuer gives consumers different...