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This article discusses a comprehensive book on the theory of multidimensional stationary time series, focusing on dimension reduction and prediction. The authors cover advanced topics in probability theory, linear algebra, and real and complex analysis. The book explores various tools such as harmonic analysis, abstract algebra, and state space methods. It also delves into the properties of multidimensional, weakly stationary time series and provides insights into dimension reduction and prediction in the time series and frequency domain. The book is aimed at graduate students and researchers studying time series analysis. [Extracted from the article]

Imbens & Angrist ([5]) as well as this book explain why causality is so important to understanding how the world works without delving so much into the analytical details. I Readership i : Statistics and economics advanced undergraduate students, beginning graduate students as well as practitioners. There is a great interest in the use of causality, especially since the 2021 Nobel Prize for economics was won by two researchers, Guido Imbens and Joshua Angrist, who studied causality in natural experiments. [Extracted from the article]

This paper presents the foundation for an assessment of the current views of Europe as seen from inside and outside of the European Union. The discussion paper introduces some of the factors that contribute to these perceptions, and how these perceptions are understood and seen by the residents inside and outside of the European Union. Once these opinions are identified, what future research and debates can be developed from this exploratory assessment? The present discussion carefully provides some of the factors that contribute to these perceptions of Europe by those living inside and outside of the European Union. [ABSTRACT FROM AUTHOR]

This paper developed a new way in which Social Security benefits are estimated in response to the reforms to Social Security to retain its financial solvency. The present research carefully presented the current methodology to calculate the Social Security benefits and carefully examined changes to the methodology to estimate Social Security benefits. More specifically, the proposed methodology included functional specifications such as a linear spline, a cubic spline, and a cubic smooth function that would be fitted between the index factor and the cumulative number of years a beneficiary receives the benefits. After a functional relationship was derived, the best fit specification was determined based on the data used to estimate future Social Security benefits. [ABSTRACT FROM AUTHOR]

This paper examines the effects of the Great Recession on employment by gender in Pennsylvania. Using the Quarterly Workforce Indicators (QWI) in the Longitudinal Employer-Household Dynamics (LEHD) data set from the Census Bureau, we examine the employment dynamics for Pennsylvania by gender from Q1 of 1997 to Q4 of 2013. We investigate the impacts of the Great Recession on male and female employment in the Pennsylvania economy in the manufacturing, construction, healthcare, and retail sectors by investigating the net job gains by gender using a vector error correction model (VECM). [ABSTRACT FROM AUTHOR]

He provides an overview of current thinking in each of these chapters, and Dinc provides the necessary ingredients for conducting successful analysis in regional science. BOOK REVIEWS 111 Chapter 6 calls for lifetime education to help workers and employers better deal with digital disruptions. Dinc then introduces the familiar models and theories in regional science in chapters 5 and 6. [Extracted from the article]

Consumer interest in farmers' markets (FMs) has dramatically increased during the past decade. The number of FMs in the United States has grown from 1755 in 1994 to 8140 in 2019 (USDA, 2019). To evaluate the economic impacts (EIs) of FMs in the Washington, DC metropolitan area, we collected FMs' consumer data and used IMPLAN-based social accounting matrices to evaluate the direct, indirect, and induced economic impacts of FMs. The empirical results from IMPLAN provide the direct gross sales, income figures, and an estimate of the number of jobs in the study region. The results show the average total output of USD 36,181,059, total employment of 663 people, total value-added creation of USD 19,019,226, and total labor income created of USD 8,653,350 in the region. The FM average income multiplier is 1.51, which indicates that a USD 1 increase in personal income (PI) for an FM translates into USD 1.51 in PI across the economy of the region. We also highlight the impact of FMs as an important component of the circular economy (CE). To this end, we present a qualitative approach examining the potential of a CE as applied to the farmers' markets in the Washington, DC metropolitan area using qualitative data from focus groups. The goal of the circular economy is to provide more sustainability in the local economy. [ABSTRACT FROM AUTHOR]