We develop a sequential Monte Carlo (SMC) algorithm for estimating Bayesian dynamic stochastic general equilibrium (DSGE) models, wherein a particle approximation to the posterior is built iteratively through tempering the likelihood. Using three examples consisting of an artificial state-space...

This paper studies how stable over time are the so-called "structural parameters" of dynamic stochastic general equilibrium (DSGE) models. To answer this question, we estimate a medium-scale DSGE model with real and nominal rigidities using U.S. data. In our model, we allow for parameter...

We use Bayesian methods to estimate two models of post WWII U.S. inflation rates with drifting stochastic volatility and drifting coefficients. One model is univariate, the other a multivariate autoregression. We define the inflation gap as the deviation of inflation from a pure random walk...

This paper shows how particle filtering allows us to undertake likelihood-based inference in dynamic macroeconomic models. The models can be nonlinear and/or non-normal. We describe how to use the output from the particle filter to estimate the structural parameters of the model, those...

This paper studies the econometrics of computed dynamic models. Since these models generally lack a closed-form solution, their policy functions are approximated by numerical methods. Hence, the researcher can only evaluate an approximated likelihood associated with the approximated policy...

This paper analyzes the career progression of skilled and unskilled workers, with a focus on how careers are affected by economic downturns and whether formal skills, acquired early on, can shield workers from the effect of recessions. Using detailed administrative data for Germany for numerous...

This paper considers the potential relationship between providing care for grandchildren and retirement, among women nearing retirement age. Using 47,400 person-wave observations from the Health and Retirement Study (HRS), we find the arrival of a new grandchild is associated with a more than...

We study differences in the time parents spend with girls and boys at preschool ages in Canada, the U.K. and the U.S. We refine previous evidence that fathers commit more time to boys, showing this greater commitment emerges with age and is not present for very young children. We next examine...

Using a Danish data set that follows 135,000 Danish children from birth through 9th grade, we examine the effect of maternal employment during a child's first three and first 15 years on that child's grade point average in 9th grade. We address the endogeneity of employment by including a rich...

This paper investigates the question whether long-term human capital outcomes are affected by the duration of maternity leave, i.e. by the time mothers spend at home with their newborn before returning to work. Employing RD and difference-in-difference approaches, this paper exploits an...