An exact maximum likelihood method is developed for the estimation of parameters in a nonlinear non-Gaussian dynamic panel data model with unobserved random individual-specific and time-varying effects. We propose an estimation procedure based on the importance sampling technique. In particular,...

Despite intense scrutiny estimates of the government spending multiplier remain highly uncertain with values ranging from 0.5 to 2. While a fiscal consolidation is generally assumed to have the same (mirror-image) effect as a fiscal expansion, we show that relaxing this assumption is crucial to...

This paper explores the sources of inflation in Sub-Saharan Africa by examining the relationship between inflation, the output gap and the real money gap. Using heterogeneous panel co-integration estimation techniques, we estimate co-integrating vectors for the production function and the real...

The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate. This paper develops an analytical...

The US labor market witnessed two apparently unrelated secular movements in the last 30 years: a decline in unemployment between the early 1980s and the early 2000s, and a decline in participation since the early 2000s. Using CPS micro data and a stock- flow accounting framework, we show that a...

The matching function -a key building block in models of labor market frictions- implies that the job finding rate depends only on labor market tightness. We estimate such a matching function and find that the relation, although remarkably stable over 1967-2007, broke down spectacularly after...

An exact maximum likelihood method is developed for the estimation of parameters in a non-Gaussian nonlinear log-density function that depends on a latent Gaussian dynamic process with long-memory properties. Our method relies on the method of importance sampling and on a linear Gaussian...

An exact maximum likelihood method is developed for the estimation of parameters in a non-Gaussian nonlinear log-density function that depends on a latent Gaussian dynamic process with long-memory properties. Our method relies on the method of importance sampling and on a linear Gaussian...

This paper resulted in a publication in the <I>Journal of Econometrics</I> (2014). Volume 180, pages 127-140.<P> An exact maximum likelihood method is developed for the estimation of parameters in a nonlinear non-Gaussian dynamic panel data model with unobserved random individual-specific and time-varying...</p></i>