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This chapter presents a unified set of estimation methods for fitting a rich array of models describing dynamic relationships within a longitudinal data setting. The discussion surveys approaches for characterizing the micro dynamics of continuous dependent variables both over time and across...
Persistent link: https://www.econbiz.de/10014024953
We consider the problem of ex-ante forecasting conditional correlation patterns using ultra high frequency data …
Persistent link: https://www.econbiz.de/10010296287
Measurable aspects of the economic convergence of EU countries form the main topic of this paper. For this purpose, statistical and econometric methods are presented and applied for revealing characteristic elements of such a process. A first group of methods refers mainly to aspects such as:...
Persistent link: https://www.econbiz.de/10010529083
This paper reinterprets Maganelli's (2009) idea of "Forecasting with Judgment" to obtain a dynamic algorithm for … combining survey data and time series models for macroeconomic forecasting. Unlike existing combination approaches which …
Persistent link: https://www.econbiz.de/10013139480
-series dynamics specification per each name with a cross-sectional forecasting relation at each date. The paper develops a conditional … greatly enhances the out-of-sample forecasting performance against standard benchmarks …
Persistent link: https://www.econbiz.de/10013403955
A space-time filter structure is introduced that can be used to accommodate dependence across space and time in the error components of panel data models that contain random effects. This general specification encompasses several more specific space-time structures that have been used recently...
Persistent link: https://www.econbiz.de/10014046455
We propose a new algorithm for estimating treatment effects in contexts where the exogenous variation comes from aggregate time-series shocks. Our estimator combines data-driven unit-level weights with a time-series model. We use the unit weights to control for unobserved aggregate confounders...
Persistent link: https://www.econbiz.de/10013226822
I discuss nonlinear difference-in-differences models, arguing their interpretation depends on the context of their application. When parallel trends are assumed in the natural scale of the dependent variable, I contend the treatment effect is the interaction effect (a cross-difference), while if...
Persistent link: https://www.econbiz.de/10013241778
We provide an overview of recent empirical research on patterns of cross-country growth. The new empirical regularities considered differ from earlier ones, e.g., the well-known Kaldor stylized facts. The new research no longer makes production function accounting a central part of the analysis....
Persistent link: https://www.econbiz.de/10014024246
A relatively simple frequency-type testing procedure for unit root potentially contaminated by an additive stationary noise is introduced, which encompasses general settings and allows for linear trends. The proposed test for unit root versus stationarity is based on a finite number of...
Persistent link: https://www.econbiz.de/10010517695