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TIME VARIATION IN THE DYNAMICS OF WORKER FLOWS: EVIDENCE FROM NORTH AMERICA A...
Vector autoregressive methods have been used to model the interrelationships between job vacancy rates, job separation rates and job-finding rates using tools such as impulse... -
ARE THE CURRENT ACCOUNT IMBALANCES BETWEEN EMU COUNTRIES SUSTAINABLE? EVIDENC...
Using parametric and non-parametric estimation techniques, we analyze the sustainability of the recently growing current account imbalances in the euro area and test whether the... -
NONPARAMETRIC ESTIMATION OF ENTRY COST IN FIRST-PRICE PROCUREMENT AUCTIONS (r...
In this paper, I investigate Samuelson's low-price auction model with entry costs. The model's equilibrium implies that the distribution of bids is truncated at the threshold... -
GENERALIZED AUTOREGRESSIVE SCORE MODELS WITH APPLICATIONS (replication data)
We propose a class of observation-driven time series models referred to as generalized autoregressive score (GAS) models. The mechanism to update the parameters over time is the... -
REAL-TIME FORECASTING OF INFLATION AND OUTPUT GROWTH WITH AUTOREGRESSIVE MODE...
We examine how the accuracy of real-time forecasts from models that include autoregressive terms can be improved by estimating the models on lightly revised data instead of... -
HOW PUZZLING IS THE PPP PUZZLE? AN ALTERNATIVE HALF-LIFE MEASURE OF CONVERGEN...
Evidence of lengthy half-lives for real exchange rates in the presence of a high degree of exchange rate volatility has been considered as one of the most puzzling empirical... -
The political economy of financial reform: How robust are huang's findings? (...
Using new data on financial liberalization taken from Abiad et al. (2008, IMF Working Papers, No. 08/266) for 62 countries over the period 1975-2005, we show that some of the... -
The impact of data revisions on the robustness of growth determinants-a note ...
Ciccone and Jaroci-ski (American Economic Journal: Macroeconomics 2010; 2: 222-246) show that inference in Bayesian model averaging (BMA) can be highly sensitive to small data...
