Showing 1 - 10 of 31
It is common to transform data to stationarity, such as by differencing and demeaning, before estimating factor models in macroeconomics. Imposing these transformations, however, limit opportunities to learn about trending behaviour. Trends and deterministic processes can play a central role in...
Persistent link: https://www.econbiz.de/10014464829
The interaction of macroeconomic variables may change as the nominal shortterm interest rates approaches zero. In this paper, we propose an empirical model capturing these changing dynamics with a time-varying parameter vector autoregressive process. State-dependent parameters are determined by...
Persistent link: https://www.econbiz.de/10011440078
We combine the factor augmented VAR framework with recently developed estimation and identification procedures for sparse dynamic factor models. Working with a sparse hierarchical prior distribution allows us to discriminate between zero and non-zero factor loadings. The non-zero loadings...
Persistent link: https://www.econbiz.de/10012039045
Two Bayesian sampling schemes are outlined to estimate a K-state Markov switching model with time-varying transition probabilities. Data augmentation for the multinomial logit model of the transition probabilities is alternatively based on a random utility and a difference in random utility...
Persistent link: https://www.econbiz.de/10010493611
We study the bank lending channel in Switzerland over three decades using unbalanced quarterly bank-individual data spanning 1987 to 2016. In contrast to the usual empirical approach, we take an agnostic stance on which bank characteristic drives the heterogenous lending response to interest...
Persistent link: https://www.econbiz.de/10012264674
We combine the factor augmented VAR framework with recently developed estimation and identification procedures for sparse dynamic factor models. Working with a sparse hierarchical prior distribution allows us to discriminate between zero and non-zero factor loadings. The non-zero loadings...
Persistent link: https://www.econbiz.de/10011558192
information extraction. Dimension reduction is usually achieved by extracting the common variation in the data into few factors (k … variables which do not add much information to the inference. The contribution includes a new way of identification which is …
Persistent link: https://www.econbiz.de/10010221685
Markov models introduce persistence in the mixture distribution. In time series analysis, the mixture components relate to different persistent states characterizing the state-specific time series process. Model specification is discussed in a general form. Emphasis is put on the functional form...
Persistent link: https://www.econbiz.de/10011538665
managed, we investigate to what extent incomplete information processing can explain this puzzle. Two types of incompleteness … are considered: infrequent and partial information processing. We calibrate a two-country general equilibrium model to the … data and show that incomplete information processing can fully match the empirical evidence. It can also account for …
Persistent link: https://www.econbiz.de/10011397256
of the exchange rate with noisy rational expectations, where investors have heterogeneous information on some structural …
Persistent link: https://www.econbiz.de/10011397704