One challenge of analyzing samples of DNA sequences is to account for the nonnegligible polymorphisms produced by error when the sequencing error rate is high or the sample size is large. Specifically, those artificial sequence variations will bias the observed single nucleotide polymorphism (SNP) frequency spectrum, which in turn may further bias the estimators of the population mutation rate ...

Glucosinolates (GLS) are a group of plant secondary metabolites mainly found in Cruciferous plants, share a core structure consisting of a β-thioglucose moiety and a sulfonated oxime, but differ by a variable side chain derived from one of the several amino acids. These compounds are hydrolyzed upon cell damage by thioglucosidase (myrosinase), and the resulting degradation products are toxic to...

In this paper, we show the first order validity of the block bootstrap in the context of Kolmogorov type conditional distribution tests when there is dynamic misspecification and parameter estimation error. Our approach differs from the literature to date because we construct a bootstrap statistic that allows for dynamic misspecification under both hypotheses. We consider two test statistics; o...

The traditional M test requires a consistent estimation of the asymptotic variancecovariance matrix of the estimated moments (the AVC matrix). By extending the approach of Kiefer, Vogelsang, and Bunzel (KVB; 2000, Econometrica), Kuan and Lee (KL; 2006, Journal of the American Statistical Association) contributed a new type of M test without the AVC matrix estimation but with recursive model est...

Bayesian Procedures as a Numerical Tool for the Estimation of Dynamic Discrete Choice Models Dynamic discrete choice models usually require a general specification of unobserved heterogeneity. In this paper, we apply Bayesian procedures as a numerical tool for the estimation of a female labor supply model based on a sample size which is typical for common household panels. We provide two import...

The estimation of the market price of risk is an open question in the jump-diffusion term structure literature when a closed-form solution is not known. Furthermore, the estimation of the physical drift has a high risk of misspecification. In this paper, we obtain some results that relate the risk-neutral drift and the risk-neutral jump intensity of interest rates with the prices and yields of ...

This paper examines the sectoral and intertemporal impacts of international emigrant remittances by using a vector auto-regression (VAR) estimation focusing on Cambodia, Lao PDR, Myanmar and Vietnam (CLMV countries). The reason for targeting the CLMV countries is that they have still depended largely on remittance-earnings from their emigrant workers in their economies, and that the macroeconom...

This paper considers the joint problem of model estimation and implementation of monetary policy in the face of uncertainty regarding the process of structural change in the economy. We model unobserved structural change through time variation in the natural rates of interest and unemployment. We show that certainty equivalent optimal policies perform poorly when there is model uncertainty abou...

We develop a sampling theory for games with a large number of players that are exchangeable from the econometrician’s perspective. We show that in the limit, heterogeneity can be separated into an individual and an aggregate component, and establish conditional laws of large numbers and central limit theorems given the aggregate state of the game. We then develop estimation procedures that elim...

When analyzing economic games, researchers frequently estimate quantities describing group outcomes, such as the expected revenue in an auction. For such applications, we propose an improved statistical estimation technique called “recombinant estimation.” The technique takes observations of players’ strategies and recombines them to compute all possible group outcomes that could have resulted ...