This paper focuses on the robust Effcient Method of Moments (EMM) estimation of a general parametric stationary process and proposes a broad framework for constructing robust EMM statistics in this context. This extends the application field of robust statistics to very general time series...

In the current paper, the finite-sample stability of various implementations of the KPSS test is studied. The implementations considered differ in how the so-called long-run variance is estimated under the null hypothesis. More specifically, the effects that the choice of kernel, the value of...

Driven by the rise in computational power, it has become popular to measure integrated variance with high-frequency squared returns. Though the squared return is a natural choice as a variance estimate, it is not the most efficient one for a given interval length. Extreme-value based estima-...

Controlling the bias is central to estimating semiparametric models. Many methods have been developed to control bias in estimating conditional expectations while main- taining a desirable variance order. However, these methods typically do not perform well at moderate sample sizes. Moreover,...

Economic theory commonly distinguishes between different time horizons such as the short run and the long run, each with its own relationships and its own dynamics. Engle (1974) proposed a bandspectrum regression to estimate such models. This paper proposes a new estimator for non-stationary...

This paper builds on the Empirical Monte Carlo simulation approach developed by Huber et al. (2013) to study the estimation of Timing-of-Events (ToE) models. We exploit rich Swedish data of unemployed job-seekers with information on participation in a training program to simulate placebo...

We propose a general test for exogeneity that is robust against distributional misspecification. The test can also be used to identify other types of misspecifications, such as the presence of a random coefficient. The idea is to sort the data with respect to a variable (a sorting score) and...

This paper explores the existence of downward nominal wage rigidity (DNWR) in 19 OECD countries, over the period 1973-1999, using data for hourly nominal wages at industry level. Based on a novel nonparametric statistical method, which allows for country and year specific variation in both the...

This paper explores the existence of downward real wage rigidity (DRWR) in 19 OECD countries, over the period 1973-1999, using data for hourly nominal earnings at industry level. Based on a nonparametric statistical method, which allows for country and year specific variation in both the median...

A number of recent studies have documented extensive downward nominal wage rigidity (DNWR) for job stayers in many OECD countries. However, DNWR for individual workers may induce downward rigidity or "a floor" for the aggregate wage growth at positive or negative levels. Aggregate wage growth...