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We optimally incorporate factors estimated from a large panel of macroeconomic time series in the estimation of two relevant signals related to real activity: business cycle fluctuations and the medium to long-run component of output growth. This latter signal conveys information on the growth...
Persistent link: https://www.econbiz.de/10008524291
This paper presents and assesses a procedure to estimate conventional parameters characterizing fluctuations at the business cycle frequency, when the economic agents' information set is superior to the econometrician's one. Specifically, we first generalize the conditions under which the...
Persistent link: https://www.econbiz.de/10005696285
In this paper we provide a unified methodology for conducting likelihood-based inference on the unknown parameters of a general class of discrete-time stochastic volatility (SV) models, characterized by both a leverage effect and jumps in returns. Given the nonlinear/non-Gaussian state-space...
Persistent link: https://www.econbiz.de/10008854101
Various forms of instability can be observed in macroeconomic and financial data including changes in variance, changes in cycle properties, or both. Traditional tests do not allow to distinguish between these different cases. This paper proposes and compares two alternative approaches. The...
Persistent link: https://www.econbiz.de/10010636253
Business cycles, the ups and downs observed somewhat simultaneously in numerous macroeconomic variables in an economy and often measured using real GDP, are important and, despite much economic research, still incompletely understood. A method for ex-post dating of the business cycle in the Euro...
Persistent link: https://www.econbiz.de/10010639473
In this paper we provide a unified methodology for conducting likelihood-based inference on the unknown parameters of a general class of discrete-time stochastic volatility (SV) models, characterized by both a leverage effect and jumps in returns. Given the nonlinear/non-Gaussian state-space...
Persistent link: https://www.econbiz.de/10014185810
Despite decades of research, the parameters of the Phillips curve (old or new) remain uncertain, because their estimation is fraught with endogeneity issues: confounding from supply shocks, unobserved inflation expectations and an unobserved output gap. In this work, we use sequences of past...
Persistent link: https://www.econbiz.de/10012911731
This paper explores the application of machine learning (ML) techniques to nowcast the monthly year-over-year growth rate of both total and non-primary GDP in Peru. Using a comprehensive dataset that includes over 170 domestic and international predictors, we assess the predictive performance of...
Persistent link: https://www.econbiz.de/10015194422
Consider the problem of smoothing a time series for extracting its low frequency characteristics, collectively called its trend. This paper proposes a competitive, to existing methods, solution in choosing the optimal degree of smoothing based on the distribution of the residuals from the smooth...
Persistent link: https://www.econbiz.de/10012722448
In this paper I consider the problem of optimal linear filtering, smoothing and trend extraction for m-period differences of processes with a unit root. Such processes arise naturally in economics and finance, in the form of rates of change (price inflation, economic growth, financial returns)...
Persistent link: https://www.econbiz.de/10012722695