1. Introduction Survey quality is thought to be impacted by nonresponse, both item nonresponse and survey or unit nonresponse. The relationship between item nonresponse and unit nonresponse has been studied by Dixon (2002). Dahlhamer et al. (2003) also studied item nonresponse across several federal surveys. The current study examines the nature of item nonresponse and the relationship with sub...

A longitudinal experiment examined the influence of a lottery of gift certificates on response and retention in a four-wave study conducted in an online panel. Independent of the lottery, people who responded in a given wave were more likely to respond in the next wave. This process was characterized to follow a first-order Markov chain. There was a direct positive effect of the lottery on resp...

Many surveys of the U.S. household population are experiencing higher refusal rates. Nonresponse can, but need not, induce nonresponse bias in survey estimates. Recent empirical findings illustrate cases when the linkage between nonresponse rates and nonresponse biases is absent. Despite this, professional standards continue to urge high response rates. Statistical expressions of nonresponse bi...

Abstract To investigate the effect of a change from telephone to web mode on item nonresponse in panel surveys, we use experimental data two-wave survey. The treatment group changed after first wave, while control continued mode. We find that when changing web, “don’t know” answers increase moderately low level, refusal increases substantially very level. This is case for all person groups, alt...

Household surveys often suffer from nonresponse on variables such as income, savings or wealth. Recent work by Manski shows how bounds on conditional quantiles of the variable of interest can be derived, allowing for any type of nonrandom item nonresponse. The width between these bounds can be reduced using follow up questions in the form of unfolding brackets for initial item nonrespondents. R...

Nonresponse caused by denied access and hazardous conditions are a concern for the USDA Forest Service, Forest Inventory and Analysis (FIA) program, whose mission is to quantify status and trends in forest resources across the USA. Any appreciable amount of nonresponse can cause bias in FIA's estimates of population parameters. This paper will quantify the magnitude of nonresponse and describe ...

Nonresponse occurs when individuals either have no chance of being included in a study (noncoverage), refuse to take part (unit nonresponse), or fail to give complete information (item nonresponse). The purpose of this article is to test the possible biasing effects of nonresponse on the results of behavioral-genetic studies. Simulations and a real data 'natural' experiment were used to determi...

Nonresponse in longitudinal studies often occurs in a nonmonotone pattern. In the Survey of I ndustrial Research and Development (SIRD), it is reasonable to assume that the nonresponse mechanism is past-value-dependent in the sense that the response propensity of a study variable at time point t depends on response status and observed or missing values of the same variable at time points prior ...

1. INTRODUCTION An increased nonresponse rate is a major problem not only in household surveys in the U.S. and abroad but also in establishment surveys (Christianson and Tortora, 1995) and economic censuses (Ambler and Mesenbourg, 1992). An increasing nonresponse rate in establishment surveys has been of primary concern to government bureaus collecting data from businesses or firms, as a high r...

Weighting adjustment is a standard quasi-randomization approach for survey data subject to nonresponse Little (1986). The existing methods are typically based on the assumption that nonresponse is independent of the survey variable conditional to the auxiliary variables used to form the adjustment cells. In this paper we consider nonignorable nonresponse which is independent of certain auxiliar...