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ECONOMIC RESILIENCE PAUL A. LEWIN
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CONCEPT OF RESILIENCE Resilience: a systems capacity to resist and recover from shock and maintain growth path or community goals Closely related to stability Static resistance to change vs. a process of maintaining desired trajectories Relative measure More or less resilient relative to a reference point
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TWO WAYS OF RESILIENCE Hazard rate of a county to experience a downturn Probability of a county to recover from a downturn
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RECESSION OUTCOMES
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WHAT UNIT TO MEASURE RESILIENCE IN? What to measure? Employment Population Emp/Pop ratio Personal Income Per Capita Personal Income Average Wage Regional GDP What we tried Personal Income Per Capita Personal Income Average Wage Regional GDP
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DOWNTURN & RECOVERY
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THE GREAT RECESSION DECEMBER 2007-JUNE 2009
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RECESSION 2005/06 -GDP Sick States Health of States: GDP Growth
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RECESSION 2006/07 -GDP Sick States Health of States: GDP Growth
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RECESSION 2007/08 -GDP Sick States Health of States: GDP Growth
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RECESSION 2008/09 -GDP Sick States Health of States: GDP Growth
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RECESSION 2009/10 -GDP Sick StatesHealth of States: GDP Growth
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RECESSION 2010/11 -GDP Sick States Health of States: GDP Growth
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RECESSION 2011/12 -GDP Sick States Health of States: GDP Growth
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RECESSION 2012/13 -GDP Sick States Health of States: GDP Growth
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DURATION OF THE RECESSION (YRS.)
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PROBABILITY OF RECESSION
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CAPITAL FRAMEWORK
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COX PROPORTIONAL HAZARDS MODEL Hazard rate for the jth subject h(t|x j )=h 0 (t) exp(x j β x ) where: t is a nongegative random variable denoting the time to a failure event, x j is a vector of multiple predictors, and β x is a vector of regression coefficients. h 0 (t) baseline hazard
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SURVIVAL FUNCTION: INCOME TimeBeg. TotalFailNet Lost Survivor FunctionStd. Error[95% Conf. Int.] 1314637800.880.010.870.89 2276742900.740.010.730.76 3233816700.690.010.670.71 4217124200.610.010.600.63 51929138400.170.010.160.19 654512400.130.010.120.15 74213000.120.010.110.14 83915400.110.010.100.12 93370 0.110.010.100.12
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SURVIVOR FUNCTION- S(t)
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CUMULATIVE HAZARD - H(t)
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HAZARD FUNCTION – h(t)
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METRO VS NONMETRO
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EDUCATION OF PERSON 25+ No High School DiplomaBA’s degree or higher
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RURAL VS. URBAN
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B.A. DEGREE OR HIGHER Education of Workers
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NO HIGH SCHOOL DIPLOMA Education of Workers
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LABOR FORCE
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POPULATION 65 YRS. AND OVER
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AVERAGE WAGE
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AGRICULTURE
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HIGH TECH MANUFACTURING
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PROPERTY VALUES
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THE MODEL Y=AK a (uhL) 1-a Where: Y = Regional output A = Technological change K = Capital u = Proportion of total labor time spent working h = Stock of human capital L = Labor supply
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PROBABILITY OF RECOVERY
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SURVIVAL FUNCTION: INCOME TimeBeg. TotalFailNet Lost Survivor FunctionStd. Error[95% Conf. Int.] 128090541.00... 22755977300.650.010.630.66 31748418360.490.010.470.51 412941812390.420.010.400.44 5874179680.340.010.320.35 6627183380.240.010.220.26 7406531920.210.010.190.22 81610 0.210.010.190.22
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