Results 151 to 160 of about 331,163 (349)
Productivity Growth and the Phillips Curve [PDF]
We present a model in which workers' aspirations for wage increases adjust slowly to shifts in productivity growth. The model yields a Phillips curve with a new variable: the gap between productivity growth and an average of past wage growth. Empirically,
Laurence Ball, Robert Moffitt
core
Validating Explainer Methods: A Functionally Grounded Approach for Numerical Forecasting
ABSTRACT Forecasting systems have a long tradition in providing outputs accompanied by explanations. While the vast majority of such explanations relies on inherently interpretable linear statistical models, research has put forth eXplainable Artificial Intelligence (XAI) methods to improve the comprehensibility of nonlinear machine learning models. As
Felix Haag +2 more
wiley +1 more source
Choice of Aggregate Demand Proxy and its Affect on Phillips Curve Nonlinearity: U.S. Evidence [PDF]
Using nonlinearity testing and modeling associated with the smooth transition regression model we examine how the choice of aggregate demand proxy affects, if at all, the nonlinearity of the Phillips curve.
Derek Stimel
core
Low Inflation Bends the Phillips Curve Around the World
Kristin J. Forbes +2 more
openalex +1 more source
The Long-Run Phillips Curve is ... A Curve
Guido Ascari, Paolo Bonomolo, Qazi Haque
openalex +1 more source
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio +1 more
wiley +1 more source
Sticky information Phillips curves: European evidence [PDF]
We estimate the sticky information Phillips curve model of Mankiw and Reis (2002) using survey expectations of professional forecasters from four major European economies.
Dovern, Jonas +3 more
core
When the Tail Wags the Dog: A Time‐Varying FCVAR Analysis of Bitcoin Market
ABSTRACT This paper examines how the relationship between Bitcoin spot and futures markets has evolved using a time‐varying Fractionally Cointegrated Vector Autoregressive (FCVAR) model. We are the first to apply this methodology dynamically to cryptocurrency markets, allowing us to simultaneously analyze long‐run equilibrium, pricing patterns, market ...
Filippo di Pietro +2 more
wiley +1 more source

