Article history: Received 15 May 2007 Received in revised form 26 January 2009 Accepted 28 January 2009 Available online 6 February 2009 This paper uses an iterated GMM approach to estimate and test the consumption based habit persistence model of Campbell and Cochrane [Campbell, J.Y., Cochrane, J.H., 1999. By force of habit: A consumption-based explanation of aggregate stockmarket behavior. Jo...

This paper describes a method for reducing sudden noise using noise detection and classification methods, and noise power estimation. Sudden noise detection and classification have been dealt with in our previous study. In this paper, noise classification is improved to classify more kinds of noises based on k-means clustering, and GMM-based noise reduction is performed using the detection and ...

When weak identification is a concern researchers frequently calculate confidence sets in two steps, first assessing the strength of identification and then, on the basis of this initial assessment, deciding whether to use an identification-robust confidence set. Unfortunately, two-step procedures of this sort can generate highly misleading confidence sets, and we demonstrate that two-step conf...

We investigate the relationship between household debt and health outcomes for OECD countries over the period 1995 to 2012. Using a dataset of aggregated, standardized and objective measures of household debt and health outcomes, we estimate an instrumental variable (GMM) model in order to deal with endogeneity and reverse causality concerns between health and debt. We find that higher househol...

A Simple GMM Estimator for the Semi-Parametric Mixed Proportional Hazard Model Ridder and Woutersen (2003) have shown that under a weak condition on the baseline hazard there exist root-N consistent estimators of the parameters in a semiparametric Mixed Proportional Hazard model with a parametric baseline hazard and unspecified distribution of the unobserved heterogeneity. We extend the Linear ...

In this paper we examine the link between stock market uncertainty and monetary policy in the US. There are strong arguments why central banks should account for stock market uncertainty in their strategy. Amongst others, they can maintain the functioning of financial markets and moderate possible economic downswings. To describe the behavior of the Federal Reserve Bank, augmented forward-looki...

Phillips curves are central to discussions of inflation dynamics and monetary policy. New Keynesian Phillips curves describe how past inflation, expected future inflation, and a measure of real marginal cost or an output gap drive the current inflation rate. This paper studies the (potential) weak identification of these curves under generalized methods of moments (GMM) and traces this syndrome...

The paper considers likelihood-based estimation of multivariate models, in which only marginal distributions are correctly specified. The unknown joint distribution is modelled with a copula function, which may be misspecified. In a GMM framework, we study robustness and efficiency of resulting estimators, propose improvements to existing estimators and discuss tests of copula validity. It is s...

This paper investigates the evolution of expenditure inequality in Indonesia during 1999-2008, a period that coincides greatly with the implementation of fiscal decentralisation policy. In general, the results show increasing expenditure inequality evident in a decreasing share of income in the bottom 10 percent, and an increasing share in the top 10 percent. Further examination employing the t...

This paper proposes a method for automatic classification of spectral domain OCT data for the identification of patients with retinal diseases such as Diabetic Macular Edema (DME). We address this issue as an anomaly detection problem and propose a method that not only allows the classification of the OCT volume, but also allows the identification of the individual diseased B-scans inside the v...