We consider eight different measures (issued amount, coupon, listed, age, missingprices, price volatility, number of contributors and yield dispersion) to approximate corporatebond liquidity and use a five-variable model to control for maturity, credit and currencydifferences between bonds. The...

This discussion paper led to a publication in the <A href="http://www.sciencedirect.com/science/article/pii/S0304407605000618">'Journal of Econometrics'</A> 132(2), 409-44.<P>The finite sample behaviour is analysed of particular least squares (LS) andmethod of moments (MM) estimators in panel data models with individual effectsand both a lagged dependent variabIe regressor and...</p></a>

Using a comprehensive international trade data set we investigate empirical regularities (known as Zipf’s Law or the rank-size rule) for the distribution of the interaction between countries as measured by revealed comparative advantage. Using the recently developed estimator by Gabaix and...

A growing number of empirical studies provides evidence that dynamic properties of macroeconomic time series have been changing over time. Model-based procedures for the measurement of business cycles should therefore allow model parameters to adapt over time. In this paper the time dependencies...

This discussion paper has led to a publication in <A href="http://books.google.nl/books?id=_YdZrLu5MKEC&dq=allesintitel:+%22The+Refinement+of+Econometric+Estimation+and+Test+Procedures%22&lr=&source=gbs_navlinks_s"><B>The Refinement of Econometric Estimation and Test Procedures</B></A>.<P>An attempt is made to set rules for a fair and fruitful competition between alternative inference methods based on their performance in simulation experiments. This leads to a list of...</p></b></a>

Estimators of regression coefficients are known to be asymptotically normally distributed, provided certain regularity conditions are satisfied. In small samples and if the noise is not normally distributed, this can be a poor guide to the quality of the estimators. The paper addresses this...

We propose a new estimator, the thresholded scaled Lasso, in high dimensional threshold regressions. First, we establish an upper bound on the <I>ℓ</I><SUB>∞</SUB> estimation error of the scaled Lasso estimator of Lee et al. (2012). This is a non-trivial task as the literature on high-dimensional models has...</sub></i>

In simple static linear simultaneous equation models the empirical distributions of IV and OLS are examined under alternative sampling schemes and compared with their first-order asymptotic approximations. We demonstrate that the limiting distribution of consistent IV is not affected by...

We show that the Anderson-Rubin (AR) statistic is the sum of two independent piv-otal statistics. One statistic is a score statistic that tests location and the other statistictests misspecification. The chi-squared distribution of the location statistic has a degreesof freedom parameter that is...

This discussion paper resulted in a publication in <I>Economics Letters</I>. Vol. 79(2), pages 145-152.<P> The relative magnitudes are compared of successive terms in a higher-order asymptotic expansion of the bias of the LSDV estimator in dynamic panels. We find that the leading term accounts for the...</p></i>