Stationarity tests exhibit extreme size distortions if the observable process is stationary yet highly persistent. In this paper we provide a theoretical explanation for the size distortion of the KPSS test for DGPs with a broad range of first order autocorrelation coefficient. Considering a...

The purpose of this paper is to investigate the asymptotic null distribution of stationarity and nonstationarity tests when the distribution of the error term belongs to the normal domain of attraction of a stable law in any finite sample but the error term is an i.i.d. process with finite...

In this paper we present a stochastic volatility model assuming that the return shock has a Skew-GED distribution. This allows a parsimonious yet flexible treatment of asymmetry and heavy tails in the conditional distribution of returns. The Skew-GED distribution nests both the GED, the...

We present the results of a randomized intervention to study how teaching financial literacy to 16-year old high-school students affects their behavior in risk and time preference tasks. Compared to two different control treatments, we find that teaching financial literacy makes subjects behave...

We present the results of a randomized intervention to study how teaching financial literacy to 16-year old high-school students affects their behavior in risk and time preference tasks. Compared to two different control treatments, we find that teaching financial literacy makes subjects behave...

We present the results of a randomized intervention to study how teaching financial literacy to 16-year old high-school students affects their behavior in risk and time preference tasks. Compared to two different control treatments, we find that teaching financial literacy makes subjects behave...