Measuring the Gross Domestic Product (GDP): The Ultimate Data Science Project

Moyer, Brian C.; Dunn, Abe

doi:10.1162/99608f92.414caadb

Cited by 6 publications

(3 citation statements)

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“…In recent years, there is an increasing trend to harness these type of user-generated data to nowcast economic activities before official government statistics [49]. In addition, using "unconventional data"-data that is not reported as official federal statistics but rather collected as digital vapor trails resulting from electronic device activity-is becoming more conventional [50,51].…”

Section: Methodsmentioning

confidence: 99%

Nowcasting Entrepreneurship: Urban Third Place versus the Creative Class

Fang

Slaper

2022

Sustainability

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Researchers have long debated whether entrepreneurship policy should focus on place or people. In this paper, we extend the place-based versus people-based theories using contemporaneous and geographically granular web-user online activity data to predict a region’s proclivity for entrepreneurship. We compare two theoretical hypotheses: the urban third places—informal gathering locations—that facilitate social interaction and entrepreneurship, in contrast to the creative class which fosters entrepreneurial energy and opportunity in a region. Specifically, we assess whether business formation has a stronger statistical relationship with the browsing behavior of individuals visiting websites associated with third place locations—e.g., restaurants or bars—or the concentration of web browsing behavior associated with “the creative class”. Using U.S. county-level data, we find that both urban third places and the creative class can predict about 70% of the variations in regional business formation, with the creative class having a slight competitive edge.

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Section: Methodsmentioning

confidence: 99%

Nowcasting Entrepreneurship: Urban Third Place versus the Creative Class

Fang

Slaper

2022

Sustainability

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“…Even before the recent surge of interest in the potential statistical uses of natively digital data, the economic statistics agencies had relied in some cases on data from third‐party sources. For example, for decades, the BEA has used Wards' Automotive Reports data (to estimate auto sales); IQVIA data (to estimate pharmaceutical sales); and AM Best data (to estimate insurance revenues and profits) (Moyer and Dunn, 2020). Similarly, the BLS has long used data from third‐party sources to measure changes in used car prices and information supplied by the Post Office to measure changes in postage rates (Bureau of Labor Statistics, 2020a).…”

Section: Are Big Data the Answer?mentioning

confidence: 99%

Big Data and Official Statistics^†

Abraham

2022

Review of Income and Wealth

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The infrastructure and methods for developed countries' economic statistics, largely established in the mid-20th century, rest almost entirely on survey and administrative data. The increasing difficulty of obtaining survey responses threatens the sustainability of this model. Meanwhile, users of economic data are demanding ever more timely and granular information. "Big data" originally created for other purposes offer the promise of new approaches to the compilation of economic data. Drawing primarily on the U.S. experience, the paper considers the challenges to incorporating big data into the ongoing production of official economic statistics and provides examples of progress towards that goal to date. Beyond their value for the routine production of a standard set of official statistics, new sources of data create opportunities to respond more nimbly to emerging needs for information. The concluding section of the paper argues that national statistical offices should expand their mission to seize these opportunities.

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“…However, updated information on the scientific productivity and quality of different countries in the Endocrinology and Diabetology field is lacking. Therefore, the main aims of this report were: (a) to compare the publication productivity of scientific research in the Endocrinology and Diabetology field among various countries in a sufficient period of time; (b) to put in relation the scientific productivity of various countries with their gross domestic product (GDP, which is the monetary value of all finished goods and services made within a country during a specific period and provides an economic snapshot of a country [5]), the percentage of GDP spent in research and development and the number of researchers per million people; and (c) to compare the quality of scientific research among various countries using the citation counts and total H-index (that can be used as indirect markers of research quality). Information regarding the publication productivity was obtained by the SCImago website [6].…”

mentioning

confidence: 99%

Country rankings on the scientific production in endocrinology and diabetology

Mantovani

Rinaldi

Zusi³

2020

Exploration of Medicine

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Diabetes represents a major global health problem. It was estimated that the global prevalence of diabetes in 2019 was approximately 9%, with the worrying projection to increase up to 11% by 2045 [1]. Importantly, it was also calculated that in 2016 worldwide nearly 1.6 million deaths were directly related to diabetes or high blood glucose [1]. In parallel, other important endocrinological diseases, such as obesity, thyroid diseases (i.e., hyperthyroidism, hypothyroidism, and cancer), polycystic ovary syndrome, and infertility, have a relevant clinical and socioeconomic impact worldwide [2, 3]. These data strongly suggest that an additional uplift in research efforts is necessary in this area.

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Measuring the Gross Domestic Product (GDP): The Ultimate Data Science Project

Cited by 6 publications

References 0 publications

Nowcasting Entrepreneurship: Urban Third Place versus the Creative Class

Nowcasting Entrepreneurship: Urban Third Place versus the Creative Class

Big Data and Official Statistics^†

Country rankings on the scientific production in endocrinology and diabetology

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Measuring the Gross Domestic Product (GDP): The Ultimate Data Science Project

Cited by 6 publications

References 0 publications

Nowcasting Entrepreneurship: Urban Third Place versus the Creative Class

Nowcasting Entrepreneurship: Urban Third Place versus the Creative Class

Big Data and Official Statistics†

Country rankings on the scientific production in endocrinology and diabetology

Contact Info

Product

Resources

About

Big Data and Official Statistics^†