Alternative Economic Indicators

The main objective of politicians is to maximise economic growth, which heavily drives political policy and decision-making. Critics of the maximisation of growth as the central aim of economic policy have argued that growth in itself is not necessarily a good thing, particularly for the environment; however, what would replace the system and how it would be measured are questions that have been rarely answered satisfactorily. First published in 1991, this book was the first to lay out an entirely new set of practical proposals for developing new economic measurement tools, with the aim of being sustainable, ‘green’ and human-centred. Victor Anderson proposes that a whole set of indicators, rather than a single one, should play all the roles that GNP (Gross National Product) is responsible for. With a detailed overview of the central debates between the advocates and opponents of continued economic growth and an analysis of the various proposals for modification, this title will be of particular value to students interested in the diversity of measurement tools and the notion that economies should also be evaluated by their social and environmental consequences.

Policymakers and business practitioners are eager to gain access to reliable information on the state of the economy for timely decision making. More so now than ever. Traditional economic indicators have been criticized for delayed reporting, out-of-date methodology, and neglecting some aspects of the economy. Recent advances in economic theory, econometrics, and information technology have fueled research in building broader, more accurate, and higher-frequency economic indicators. This volume contains contributions from a group of prominent economists who address alternative economic indicators, including indicators in the financial market, indicators for business cycles, and indicators of economic uncertainty.

Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.

Bachelor Thesis from the year 2021 in the subject Economics - Other, grade: 1,3, University of Applied Sciences Dortmund, language: English, abstract: Do well-known indicators really reflect what they are supposed to? Given today’s challenges regarding society, the environment and the economy, the sustainability of our economic system is questioned. GDP is currently one of the most important indicators of our economy and is considered a proxy of economic health and standard of living of a country. However, the measure poses problems in terms of the appropriate portrayal of genuine progress. This thesis aims at proposing alternative measures which represent sustainable development in an improved way over GDP. Thereby, the economic, social and ecological dimensions of sustainable development form the basis of examination. In the first place, GDP is examined for its suitability as a progress indicator. Its relevance in policy making and reasons for its persistence are worked out. Finally, alternatives which are grouped in adjusting, supplementing and replacing GDP, are presented and examined according to their coverage of the sustainable development dimensions. The examination shows that there are indeed measures which represent genuine progress in a better way. However, those indicators pose drawbacks regarding their methodology, credibility and complexity. Therefore, they cannot sufficiently replace or adjust GDP. Supplementing GDP currently appears to be the most feasible approach since it sets GDP in a more sustainable context without neglecting its benefits.

In spite of recurrent criticism and an impressive production of alternative indicators by scholars and NGOs, GDP remains the central indicator of countries' success. This book revisits the foundations of indicators of social welfare, and critically examines the four main alternatives to GDP that have been proposed: composite indicators, subjective well-being indexes, capabilities (the underlying philosophy of the Human Development Index), and equivalent incomes. Its provocative thesis is that the problem with GDP is not that it uses a monetary metric but that it focuses on a narrow set of aspects of individual lives. It is actually possible to build an alternative, more comprehensive, monetary indicator that takes income as its first benchmark and adds or subtracts corrections that represent the benefit or cost of non-market aspects of individual lives. Such a measure can respect the values and preferences of the people and give as much weight as they do to the non-market dimensions. A further provocative idea is that, in contrast, most of the currently available alternative indicators, including subjective well-being indexes, are not as respectful of people's values because, like GDP, they are too narrow and give specific weights to the various dimensions of life in a more uniform way, without taking account of the diversity of views on life in the population. The popular attraction that such alternative indicators derive from being non-monetary is therefore based on equivocation. Moreover, it is argued in this book that "greening" GDP and relative indicators is not the proper way to incorporate sustainability concerns. Sustainability involves predicting possible future paths, therefore different indicators than those assessing the current situation. While various indicators have been popular (adjusted net savings, ecological footprint), none of them involves the necessary forecasting effort that a proper evaluation of possible futures requires.

Economic performance of a country is generally being measured through GDP (Gross Domestic Product), a variable that has also become the de facto universal metric for "standards of living". However, GDP does not properly account for social and environmental costs and benefits. It is also difficult to achieve sustainable decision-making aiming at sustainable progress and well-being if welfare is being considered from a purely financial point of view. The study highlights the benefits and some of the shortcomings of GDP. It serves as a helpful and practicable instrument for monetary and fiscal policies. The real problem presumably is that GDP growth is too often confused with (sustainable) welfare growth in people's minds. While there certainly is a correlation between the two, this study shows that this is a highly conditional correlation, void of substantial causality for GDP levels observable in the European Union. In order to be able to assess people's well-being and general sustainable development in the sense of sustainability, an alternative instrument going beyond GDP is necessary. Using so called SWOT analyses, several alternative progress indicators have been assessed in the context of this study. On the one hand it was analysed how far ecological and social factors can be integrated in the GDP measurements. Thereby difficulties arose then trying to monetise these factors. As a further possibility indicators were analysed which are to replace GDP as a whole. The category supplementing GDP seems to be the most realistic and acceptable option for going beyond GDP. Within this approach, GDP is being complemented with additional environmental and/or social information. In order to make this kind of solution feasible the study claims the establishment of an overarching and transparent indicator system for improving economic decision-making in support of sustainable development.