(Diese Seite ist nur auf Englisch verfügbar./ This
page is available only in English; Latest update: January 2026
Some of the material on this page is also
on my Repec page.)
Research interests: Quite broad (as you can see on this page), but mostly related to time series econometrics and macroeconomics. Other keywords are labor/unemployment issues, pensions, inflation.
Entries are mostly listed in reverse chronological order. Note that contact information given in older papers may be obsolete, but comments are still and always welcome!
Keywords: bootstrap, cointegration rank test, empirical size
IMK Working paper: version August 2019
Abstract: As applied cointegration analysis faces the challenge that (a) potentially relevant variables are unobservable and (b) it is uncertain which covariates are relevant, partial systems are often used and potential (stationary) covariates are ignored. Recently it has been argued that a nominally significant cointegration outcome using the bootstrapped rank test (Cavaliere, Rahbek, and Taylor, 2012) in a bivariate setting might be due to test size distortions when a larger data-generating process (DGP) with covariates is assumed. This study reviews the issue systematically and generally finds noticeable but only mild size distortions, even when the specified DGP includes a large borderline stationary root. The previously found drastic test size problems in an application of a long-run Phillips curve (inflation and unemployment in the euro area) appear to hinge on the particular construction of a time series for the output gap as a covariate. We conclude that the problems of the bootstrapped rank test are not severe and that it is still to be recommended for applied research.
Keywords: money growth, Granger causality, quantity theory, unemployment
Download: revised version February 2015,
.
An earlier version is available as
Free University Berlin discussion paper 10/2013.
Abstract:
Short answer: It helps a lot when other important variables are
excluded from the information set.
Longer answer: We revisit claims in the literature that money growth is Granger-causal
for inflation at low frequencies. Applying frequency-specific tests to euro-area data in
a system with various potentially important variables, money growth is not a significant
low-frequency predictor of inflation. A general-to-specific testing strategy reveals
a recursive structure where only the unemployment rate and long-term interest rates are
directly Granger-causal for low-frequency inflation movements, and all variables affect
money growth. We therefore interpret opposite results from bivariate inflation/money
growth systems as spurious due to omitted-variable biases. We also analyze the resulting
four-dimensional system in a cointegration framework and find structural changes in the
long-run adjustment behavior, which do not affect the main conclusions, however.
An earlier version was presented at the 2001 International Institute of Public Finance meeting. A still older version was presented in 1999 at the Fiscal Affairs Department of the International Monetary Fund (IMF), where it all started as my summer internship project.
Abstract: This paper estimates the cost of the minimum pension
guarantee in Chile’s individually funded pension system. It
uses a stochastic simulation to assess the fiscal impact of the
dynamics of the relevant variables, namely wages and asset
prices.
This is the first aggregate study with wage stochastics, and it
also accounts for so-called “recognition bonds”
reflecting workers’ contributions to the previous defined
benefit system. It is found that the beneficiaries of the
guarantee are mainly the currently non-contributing affiliates of
the system, provided they will not permanently drop out of the
labor force. Women as a group also tend to receive more transfers
than men.
The ex-ante cost distribution for the baseline case lies in the
range of 0 to 20% of Chile’s 1998 GDP with a median of
about 4%. The impact of various institutional settings and
parameter values is assessed.