Showing 1 - 10 of 3,363
We study the eventual structural differences of climate change leading ‘actors’ such as Northern EU countries, and ‘lagging actors’ - southern EU countries and the ‘Umbrella group’ - with regard to long run (1960-2001) carbon-income relationships. Parametric and semi parametric panel...
Persistent link: https://www.econbiz.de/10008747640
We consider changes in the degree of persistence of a process when the degree of persistence is characterized as the order of integration of a strongly dependent process. To avoid the risk of incorrectly specifing the data generating process we employ local Whittle estimates which uses only...
Persistent link: https://www.econbiz.de/10011756088
Recent advances in the econometric modelling of count data have often been based on the generalized method of moments (GMM). However, the two-step GMM procedure may perform poorly in small samples, and several empirical likelihood-based estimators have been suggested alternatively. In this paper...
Persistent link: https://www.econbiz.de/10002202971
This paper investigates the bias and the Bahadur representation of a local polynomial estimator of the conditional quantile function and its derivatives. The bias and Bahadur remainder term are studied uniformly with respect to the quantile level, the covariates and the smoothing parameter. The...
Persistent link: https://www.econbiz.de/10003877118
In this paper we introduce the general setting of a multivariate time series autoregressive model with stochastic time-varying coefficients and time-varying conditional variance of the error process. This allows modeling VAR dynamics for non-stationary times series and estimation of time varying...
Persistent link: https://www.econbiz.de/10011405250
Following Giraitis, Kapetanios, and Yates (2014b), this paper uses kernel methods to estimate a seven variable time-varying (TV) vector autoregressive (VAR) model on the data set constructed by Smets and Wouters (2007). We apply an indirect inference method to map from this TV VAR to time...
Persistent link: https://www.econbiz.de/10011405253
We develop non-parametric instrumental variable estimation and inferential theory for econometric models with possibly endogenous regressors whose coefficients can vary over time either deterministically or stochastically, and the time-varying and uniform versions of the standard Hausman...
Persistent link: https://www.econbiz.de/10012262677
This paper introduces a exible local projection that generalises the model by Jordà (2005) to a non-parametric setting using Bayesian Additive Regression Trees. Monte Carlo experiments show that our BART-LP model is able to capture non-linearities in the impulse responses. Our first application...
Persistent link: https://www.econbiz.de/10013179339
This paper explores a semiparametric version of a time-varying regression, where a subset of the regressors have a fixed coefficient and the rest a time-varying one. We provide an estimation method and establish associated theoretical properties of the estimates and standard errors in extended...
Persistent link: https://www.econbiz.de/10015192982
Time series models are often fitted to the data without preliminary checks for stability of the mean and variance, conditions that may not hold in much economic and financial data, particularly over long periods. Ignoring such shifts may result in fitting models with spurious dynamics that lead...
Persistent link: https://www.econbiz.de/10011405222