The bias of an estimator is defined as the difference of its expected value from the parameter
to be estimated, where the expectation is with respect to the model. Loosely speaking, small …

This chapter provides an overview of solution and estimation techniques for dynamic
stochastic general equilibrium models. We cover the foundations of numerical …

A recursive test procedure is suggested that provides a mechanism for testing explosive
behavior, date stamping the origination and collapse of economic exuberance, and …

Using data from a large-scale field experiment, we show that while there is no gender
difference in willingness to make risky decisions on behalf of a group in a sample of …

We study a novel aspect of a firm's capital structure, namely, the profile of its debt maturity
dates. In a simple theoretical framework we show that the dispersion of debt maturities …

We examine which methods are appropriate for estimating dynamic panel data models in
empirical corporate finance. Our simulations show that the instrumental variable and GMM …

In this study, effects of public and private health expenditures on life expectancy at birth and
infant mortality are analysed on a global scale with 195 countries in the years 1995–2014 …

This paper overviews maximum likelihood and Gaussian methods of estimating continuous
time models used in finance. Since the exact likelihood can be constructed only in special …

A number of prominent papers in the literature have estimated the average speed of
adjustment (SOA) of firms' leverage ratios with estimators not designed for applications in …

Studies employing Arellano-Bond and Blundell-Bond generalized method of moments
(GMM) estimation for linear dynamic panel data models are growing exponentially in …