Results 231 to 240 of about 13,431,507 (393)

A Conditional Logistic Regression Model for Analyzing Unemployment Rates in West Java

open access: diamond, 2021
Dwi Jayanti   +2 more
openalex   +1 more source

Temporary shocks and unavoidable transitions to a high-unemployment regime [PDF]

open access: yes
This paper develops a model with multiple steady states (low tax and unemployment rate versus high tax and unemployment rate) in which equilibrium selection is not conditioned on a sunspot variable.
Den Haan, Wouter J.
core  

Term Spread Volatility as a Leading Indicator of Economic Activity

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT In this paper, we examine the macroeconomic predictive power of the volatility of the US Treasury yield curve slope (term spread volatility). Our forecasting exercise shows that US term spread volatility has significant predictive power for US industrial production and employment growth.
Anastasios Megaritis   +3 more
wiley   +1 more source

Identifying Drivers of Deviations From Rational Expectations: Using a New Irrational Index for Inflation Forecasts

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Most studies on inflation forecasts have studied behavioral biases, informational frictions, or external shocks in isolation, without considering how these factors jointly drive deviations from rational expectations. We therefore adopt an integrated framework that simultaneously estimates the behavioral, informational, and external ...
Belen Chocobar, Peter Claeys
wiley   +1 more source

The Impact of Uncertainty on Forecasting the US Economy

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This paper examines the predictive value of uncertainty measures for key macroeconomic indicators across multiple forecast horizons. We evaluate how different uncertainty proxies—economic policy uncertainty (EPU), VIX, geopolitical risk, and measures of macroeconomic and financial uncertainty—enhance forecast accuracy for industrial production,
Angelica Ghiselli
wiley   +1 more source

Using DSGE and Machine Learning to Forecast Public Debt for France

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos   +4 more
wiley   +1 more source

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