Agricultural technology adoption is often a sequential process. Farmers may adopt a new technology in part of their land first and then adjust in later years based on what they learn from the earlier partial adoption. This paper presents a dynamic adoption model with Bayesian learning, in which...

We show that including financial market data at daily frequency, along with macro series at standard lower frequency, facilitates statistical inference on structural parameters in dynamic equilibrium models. Our continuous-time formulation conveniently accounts for the difference in observation...

We propose a search-matching model of the marriage market that extends Shimer and Smith (2000) to allow for labor supply. We characterize the steady-state equilibrium when exogenous divorce is the only source of risk. The estimated matching probabilities that can be derived from the steady-state...

We propose a search-matching model of the marriage market that extends Shimer and Smith (2000) to allow for labor supply. We characterize the steady-state equilibrium when exogenous divorce is the only source of risk. The estimated matching probabilities that can be derived from the steady-state...

We compute aggregate productivity of three categories of regions, classified by level of urbanization in the Netherlands, from firm-specific total factor productivity (TFP) measures. TFP measures are estimated by a semi-parametric algorithm, within 2-digit industries, covering agriculture,...

We propose a method to estimate time invariant cyclical dynamic stochastic general equilibrium models using the information provided by a variety of filters. We treat data filtered with alternative procedures as contaminated proxies of the relevant model-based quantities and estimate structural...