Breaking out of recession: gauging Texas’ response to Fed stimulus
From the time the U.S. recession began in December 2007 through the subsequent recovery, Texas and the Eleventh Federal Reserve District have outperformed the nation.While economic activity is better in Texas, it remains far from robust. And though Texas employment hasn’t fully reclaimed levels reached before the crisis, the other 11 Federal Reserve districts remain 3 to 8 percent below predownturn employment peaks as a postrecessionary disquiet lingers.
Oil and gas rises again in a diversified Texas
The oil and gas industry has been a driver of the Texas economy for the past 40 years. Its contribution declined with the oil-led recession of 1986 and appeared to slip further in the 1990s as the high-tech industry boomed. But oil and natural gas prices have risen since 1999, reaching record highs in 2008. This resurgence has boosted energy activity and factored into the recent economic recovery in Texas, affirming the industry’s long-held prominence in the state. ; An econometric model developed by the Federal Reserve Bank of Dallas documents the state’s evolving energy fortunes since the late 1990s. It shows that the industry is still contributing positively to Texas output and employment, though in a less-pronounced way than during the prior oil boom 30 years ago.
Complexity, Network-Decisions And Alternative Risk Premia: Some New Theories Of Structural Change And Portfolio Decisions.
Structural Change is the basis for many decisions such as government fiscal and monetary policies, government interventions, corporate-expenditure decisions, corporate strategic decisions, portfolio management decisions in finance; household allocation decisions, etc.. Structural change in industries and national economies is increasingly more difficult to detect partly because of the growth and dominance of Complex Systems and “Networks” in modern industries and economies – such Networks and Complex Systems include GVCs (global value chains), retail store networks; franchising networks; internet networks; services networks; credit-chains in industries; online social networks; etc.. The relationship between Complexity and Structural Change is well established in the physics, applied math and economic dynamics literatures. Traditional definitions and modeling of structural change have erroneously focused on changes in labor, technological progress, market share, and or capital – which are grossly inadequate in the new economy and post- global financial crisis (as confirmed by changes in the global retailing and housing industries and other industries). Also the modeling of structural change seems to be constrained by the availability of data, and often omits the relationship between structural change on one hand, and globalization, financial stability and international financial contagion. This article: i) introduces the Operations Strategy Model of structural change, explains how it differs from the Lewis Model of Structural Change; and explains the often omitted relationship between operations strategy (of companies and government agencies) and structural change; ii) introduces other new Complexity-based models/theories of Structural Change in industries; iii) reviews the relationships among Operations Research, Complexity and Structural Change; iv) explains the symbiotic relationship between structural change on one hand, and economic growth, financial stability, financial contagion and globalization; v) discusses the significant gap between academic research and practice and explains some issues and factors that should be considered in the development and testing of structural change models; vi) explains how alternative risk premia can be generated from new models of Structural Change.