As the last quarter of 2015 begins, production data show that total red meat and poultry production, aggregated over the first three quarters of 2015, increased by less than 1 percent over the same period of 2014. In the first three quarters of 2015, beef production is about 3 percent below production in the same period last year. Cattle prices so far in 2015 have averaged almost 3 percent above prices in the same period of 2014. Production effects of disease outbreaks link the pork and poultry sectors, but in divergent directions: the pork sector continues to recover from the effects of porcine epidemic diarrhea (PEDv) outbreaks last year, with total production in the first three quarters of 2015 almost 8 percent ahead of the same period in 2014. The poultry sector is recovering from Highly Pathogenic Avian Influenza (HPAI), the effects of which has fallen so far on the turkey sector (2 percent lower production) and the egg sector (5 percent lower production). Turkey prices have averaged almost 6 percent above the same period last year; average egg prices are almost 36 percent above the same period of 2014. Broiler production is up in 2015 by 4 percent.
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
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.
Each year, approximately 48 million people become ill from foodborne illnesses in the United States. In only 20 percent of these cases (9.4 million illnesses) can a specific pathogen cause be identified; over 90 percent of these cases are caused by only 15 pathogens. This report summarizes recent estimates showing that these 9.4 million illnesses impose over $15.5 billion in economic burden annually. The report also provides "pamphlets" for each of these 15 foodborne pathogens that include: (1) a summary of information about the pathogen's foodborne illness incidence and economic burden relative to other foodborne pathogens; (2) a disease-outcome tree showing the number of people experiencing different outcomes caused by foodborne exposure to the pathogen in the United States each year; and (3) a pie chart showing the economic burden associated with different health outcomes resulting from infection with the pathogen.
Farmland tenure shapes many farm decisions, including those related to production, conservation, and succession planning. The relatively advanced age of many farmers raises questions abut land ownership, especially how land will be transferred to the next generation of agricultural landowners and operators. This study provides a descriptive baseline analysis of land ownership and then focuses on more detailed aspects of land tenure, including non-operator landlords, rental agreements, the acquisition and transfer of land, and how decisionmaking is shared by landlords and their tenants. The report is designed to support broad discussions related to agricultural land ownership and to provide a starting point for more detailed statistical analysis. Figures and tables. This is a print on demand report.
This book investigates the role of wealth in achieving sustainable rural economic development. The authors define wealth as all assets net of liabilities that can contribute to well-being, and they provide examples of many forms of capital – physical, financial, human, natural, social, and others. They propose a conceptual framework for rural wealth creation that considers how multiple forms of wealth provide opportunities for rural development, and how development strategies affect the dynamics of wealth. They also provide a new accounting framework for measuring wealth stocks and flows. These conceptual frameworks are employed in case study chapters on measuring rural wealth and on rural wealth creation strategies. Rural Wealth Creation makes numerous contributions to research on sustainable rural development. Important distinctions are drawn to help guide wealth measurement, such as the difference between the wealth located within a region and the wealth owned by residents of a region, and privately owned versus publicly owned wealth. Case study chapters illustrate these distinctions and demonstrate how different forms of wealth can be measured. Several key hypotheses are proposed about the process of rural wealth creation, and these are investigated by case study chapters assessing common rural development strategies, such as promoting rural energy industries and amenity-based development. Based on these case studies, a typology of rural wealth creation strategies is proposed and an approach to mapping the potential of such strategies in different contexts is demonstrated. This book will be relevant to students, researchers, and policy makers looking at rural community development, sustainable economic development, and wealth measurement.
How we produce and consume food has a bigger impact on Americans' well-being than any other human activity. The food industry is the largest sector of our economy; food touches everything from our health to the environment, climate change, economic inequality, and the federal budget. From the earliest developments of agriculture, a major goal has been to attain sufficient foods that provide the energy and the nutrients needed for a healthy, active life. Over time, food production, processing, marketing, and consumption have evolved and become highly complex. The challenges of improving the food system in the 21st century will require systemic approaches that take full account of social, economic, ecological, and evolutionary factors. Policy or business interventions involving a segment of the food system often have consequences beyond the original issue the intervention was meant to address. A Framework for Assessing Effects of the Food System develops an analytical framework for assessing effects associated with the ways in which food is grown, processed, distributed, marketed, retailed, and consumed in the United States. The framework will allow users to recognize effects across the full food system, consider all domains and dimensions of effects, account for systems dynamics and complexities, and choose appropriate methods for analysis. This report provides example applications of the framework based on complex questions that are currently under debate: consumption of a healthy and safe diet, food security, animal welfare, and preserving the environment and its resources. A Framework for Assessing Effects of the Food System describes the U.S. food system and provides a brief history of its evolution into the current system. This report identifies some of the real and potential implications of the current system in terms of its health, environmental, and socioeconomic effects along with a sense for the complexities of the system, potential metrics, and some of the data needs that are required to assess the effects. The overview of the food system and the framework described in this report will be an essential resource for decision makers, researchers, and others to examine the possible impacts of alternative policies or agricultural or food processing practices.
