Jonas Klingwort

• PhD
• Methodologist at Centraal Bureau voor de Statistiek

Travel Surveys are considered promising candidates to go 'smart'. Respondents need to be both motivated and competent to correctly report all details of their travels for a specified time period. Location tracking offers options to remove burden on the respondent and to improve the quality of measurement. Adding contextual information, the collecte...

When conducting a survey, many choices regarding survey design features have to be made. These choices affect the response rate of a survey. This paper analyzes the individual effects of these survey design features on the response rate. For this purpose, data from a systematic review of crime surveys conducted in Germany between 2001--2021 were us...

Travel Surveys are considered promising candidates to go ‘smart’. Respondents need to be both motivated and competent to correctly report all details of their travels for a specified time period. Location tracking offers options to remove burden and to improve quality of measurement. Adding contextual information, the collected location data may al...

Effective and targeted decision-making during pandemics requires accurate forecasting of key health outcomes such as hospitalizations. This study investigates the relationship between the weekly number of COVID-19 hospitalizations and several indicators hypothesized to correlate with COVID-19 hospitalizations, including data from fixed and mobile s...

Capture-recapture (CRC) is currently considered a promising method to use non-probability samples to estimate survey measurement error. In previous studies, we derived adjusted survey estimates using CRC by combining probability-based survey data (as the initial data source) and non-probability road sensor data (as the secondary data source). The d...

Work Package 2 (WP2) of the Smart Survey Implementation (SSI) project focuses on defining the core methodological elements required for trusted smart surveys in European official statistics. Building on the earlier M6 deliverable, WP2 addresses four main challenges: (1) recruiting participants, (2) applying machine learning to enhance survey intera...

Nonpharmaceutical policy interventions (NPIs) are intended to reduce population mobility in mitigating the spread of COVID-19. This paper evaluates their effect on population mobility during the COVID-19 pandemic. State space models are applied to estimate the time-varying effects of NPI stringency on weekly pedestrian counts from location-based se...

Most general population web surveys are based on online panels maintained by commercial survey agencies. Many of these panels are based on non-probability samples. However, survey agencies differ in their panel selection and management strategies. Little is known if these different strategies cause differences in survey estimates. This paper presen...

Sample coordination methods aim to increase (in positive coordination) or decrease (in negative coordination) the size of the overlap between samples. The samples considered can be from different occasions of a repeated survey and/or from different surveys covering a common population. Negative coordination is used to control the response burden in...

German official statistics publish statistics on personal insolvency. These statistics have been recently enhanced using web scraping to extract additional information from a public website on which the insolvency announcements are published. The currently scraped data is used for quality assurance and to derive an early indicator of personal insol...

Most general population web surveys are based on online panels maintained by commercial survey agencies. However, survey agencies differ in their panel selection and management strategies. Little is known if these different strategies cause differences in survey estimates. This paper presents the results of a systematic study designed to analyze th...

for analyzing human behavior. Sensor data is typically non-probability-based because not every element in the target population has a positive and known probability of being recorded. Accordingly, using such data as a primary data source for population inference is currently an active field of research. In this paper, an algorithmic population infe...

Sample coordination methods aim to increase (in positive coordination) or decrease (in negative coordination) the size of the overlap between samples. The samples considered can be from different occasions of a repeated survey and/or from different surveys covering a common population. Negative coordination is used to control the response burden in...

In de enquête SHARE meten interviewers onder andere cognitieve achteruitgang van 50-plussers in pan-Europese landen. Cognitieve achteruitgang kan bijvoorbeeld een indicatie zijn van beginnende dementie. In het kader van de Sensor Data Challenge hebben wij onderzoek gedaan naar alternatieven om kwaliteit van spraak op een objectieve manier te meten...

IntroductionTo combat and mitigate the transmission of the SARS-CoV-2 virus, reducing the number of social contacts within a population is highly effective. Non-pharmaceutical policy interventions, e.g. stay-at-home orders, closing schools, universities, and (non-essential) businesses, are expected to decrease pedestrian flows in public areas, lead...

Capture-recapture (CRC) is currently considered a promising method to integrate big data in official statistics. We previously applied CRC to estimate road freight transport with survey data (as the first capture) and road sensor data (as the second capture), using license plate and time-stamp to identify re-captured vehicles. A considerable differ...

In this article, survey, sensor, and administrative data are combined to correct for survey point estimate bias due to underreporting. The response to the Dutch Road Freight Transport Survey is linked to records from a road sensor network consisting of automated weighing stations installed on highways in the Netherlands. Capture–recapture (CRC) met...

With the outbreak of the corona pandemic, surveys were launched to measure the population's attitudes and behavior concerning visiting public places during the corona pandemic. However, such questions are likely biased due to social desirability. As survey estimates can be used to evaluate pandemic-preventing measures, their accuracy is of high imp...

Background We introduce and study a recently proposed method for privacy-preserving distance computations which has received little attention in the scientific literature so far. The method, which is based on intersecting sets of randomly labeled grid points, is henceforth denoted as ISGP allows calculating the approximate distances between masked...

The use of non-probability data as a primary data source in official statistics is currently an active field of research. Without the traditional sampling design, modern machine-learning algorithms might play a central role in producing accurate population estimates. This working paper presents empirical research on the effects of class imbalance a...

During the current COVID-19 pandemic, “digital epidemiology” has been proposed to comple-ment traditional reporting and surveillance systems. Instruments such as smartphone contact apps, fitness trackers, and apps for voluntary reporting are intended to be used to monitor or limit the spread of COVID-19. The methodological drawbacks and limitations...

Time-based diary surveys collect data over specified time intervals and impose a heavy response burden. To reduce the effort of reporting, respondents may omit spells or may not respond at all. Correspondingly, those surveys may suffer from underreporting and item-nonresponse. Accordingly, survey estimates might be biased downwards. Capture-recaptu...

Big data has received increasing attention across several disciplines in recent years. In Official Statistics, big data potentially enables us to produce statistics cheaper, faster, and on a higher level of detail. In contrast to traditional probability samples, however, big data typically lacks a sampling design. The unknown data generating mechan...

Due to their lower costs and shorter fieldwork periods, web surveys are increasingly used in official statistics. To benefit most from their advantages, it is important to determine how many reminders have to be used and when the fieldwork period has to be ended. The salience of the survey topic may affect if and when sampled persons decide to resp...

Victimization surveys are necessary to estimate crime rates and fear of crime for the general population of a certain country. They capture the so-called "dark-field", which is to validate and enrich the so-called "bright field" and official statistics. Only the combination of both data sources allows to quantify crime rates and fear of crime. Ther...