This paper develops the idea of renewal time sampling, a novel sampling scheme constructed from stopping times of semimartingales. Based on this new sampling scheme we propose a class of volatility estimators named renewal based volatility estimators. In this paper we show that: (1) The spot...

We develop a Markov-Switching Autoregressive Conditional Intensity (MS-ACI) model with time-varying transitional parameters, and show that it can be reliably estimated via the Stochastic Approximation Expectation-Maximization algorithm. Applying our model to high-frequency transaction data, we...

In this paper we examine the relative importance of trading volume, bid-ask spread, order flow, order imbalance, total quote depth, quote depth difference and trading intensity for high-frequency volatility estimation. By using a best subset regression approach, we fi nd that contemporaneous...

How well does the pivotal-voter model explain voter participation in small-scale elections? This paper explores this question using data from Texas liquor referenda. It first structurally estimates the parameters of a pivotal-voter model using the Texas data. It then uses the estimates to...

This paper develops and estimates a search model of the labor market where jobs are characterized by wages and work-hours flexibility. Flexibility is valued by workers, and is costly to provide for employers. The model generates observed wage distributions directly related to the preference for...

How well does the pivotal-voter model explain voter participation in small-scale elections? This paper explores this question using data from Texas liquor referenda. It first structurally estimates the parameters of a pivotal-voter model using the Texas data. It then uses the estimates to...