Utah 2050: Alternative Futures Pam Perlich Ross Reeve Utah Long Term Projections Program Governor’s Office of Planning & Budget May 13, 1999.

Slides:



Advertisements
Similar presentations
SELECTED DEMOGRAPHIC AND ECONOMIC INFORMATION FOR PIERCE COUNTY JERRY DEICHERT CENTER FOR PUBLIC AFFAIRS RESEARCH, UNO SEPTEMBER 2014.
Advertisements

Oregon: Demographic changes. National Demographics Aging population: changing labor market as baby boomers retire and fiscal impact on federal and state.
Discussion of Entitlements and Population Aging: Crisis, Problem, or Opportunity by Henry Aaron David Wise ShovenFest 6-7 June 2012.
DEMOGRAPHIC TRANSITION AND ECONOMIC DEVELOPMENT AT THE LOCAL LEVEL IN BRAZIL Ernesto F. L. Amaral Advisor: Dr. Joseph E. Potter Population Research Center.
SEDS Macroeconomic Module Alan H. Sanstad, LBNL May 7, 2009.
Copyright © 2009 Pearson Addison-Wesley. All rights reserved. Chapter 12 The Government Budget, the Public Debt, and Social Security.
1 America’s National Debt. 2 Important Concepts What’s the difference between deficits and debt? Deficits: The annual imbalance between revenues and spending.
Population Ageing and the Labour Market: Some Insights From Australia by Graeme Hugo ARC Australian Professorial Fellow Professor of Geography and Director.
Careers Conference 2009 January 26, LONG-TERM EMPLOYMENT OUTLOOK Presenter: Victoria Udalova, Economist Office of Economic Advisors WI Department.
Changing Demographics in Texas
From UPED to REMI: Utah’s Experience in Developing Long-Term Economic and Demographic Projections Utah Governor’s Office of Planning and Budget January.
Navigating REMI: Review of User Interface Pam Perlich URBPL 5/6020.
Nevada County Conditions, Trends, and Forecasts 2007.
Laclede County Economic Analysis and Baseline Anna Kovalyova Program Coordinator University of Missouri, Columbia.
Utah Economy 101 Presented by Natalie Gochnour Wells Fargo Economic Summit for Nonprofits May 4, 2010.
WORLD POPULATION PROJECT POPULATION – DEVELOPMENT – ENVIRONMENT MODELLING: THOUGHTS ON AN EGYPTIAN APPLICATION IIASA WORKSHOP AUGUST 9 – 10, 2004.
Analysis Age and Sex Distribution Data
Projection of West Virginia K-12 (0-19 Years Old) Population Christiadi Bureau of Business and Economic Research College of Business and Economics West.
Population forecasting of small areas or ethnic groups Stockholm, 21 st November 2008 Ludi Simpson University of Manchester
State of Utah Long Term Projections Model System T. Ross Reeve Governor’s Office of Planning and Budget November 26, 2002.
Demography, ageing and pensions Can Europe afford to grow old?
1 Task Force on Review of Public Finances. 2 Introduction Alert sign for Hong Kong fiscal system Hong Kong fiscal system undergoing structural changes.
Northern Ireland Demographic Projections 2 nd December 2008 Dr David Marshall Demography and Methodology Branch.
World Populations – As we age The world's population has moved from a path of high birth and death rates to one characterized by low birth and death rates.
Long Term Revenue Outlook Tom Stinson John Peloquin August, 2008.
Economics and Statistics Administration U.S. CENSUS BUREAU U.S. Department of Commerce 1 The U.S. Census Bureau’s 2010 Demographic Analysis Estimates:
Population Trends in Maryland, Spring Planning Directors Meeting May 22, 2007.
ASDC Annual Meeting Carolyn Trent, Socioeconomic Analyst Alabama State Data Center Center for Business and Economic Research November 2, 2012 Culverhouse.
Jason Henderson Vice President and Branch Executive Federal Reserve Bank of Kansas City – Omaha Branch June 16, 2009 The views.
Immigration, Ethnocultural Diversity and the Future Composition of the Canadian Labour Force Alain Bélanger and Nicolas Bastien CONFERENCE OF EUROPEAN.
Current Trends of Change in the Population of Texas Karl Eschbach, Ph.D. State Demographer of Texas Director, Texas State Data Center University of Texas.
Are public sector workers overcompensated? What impact does a higher standard of living for unionized public sector workers have on the economy? Public.
Texas Demographics and Sustainability Texas State University November 17, 2010 San Marcos, TX 1.
Population, Income, and Expenditures George Haynes Doug Young Myles Watts Department of Agricultural Economics and Economics Montana State University Support.
A presentation for the Women’s Institute for a Secure Retirement February 28, 2008 Barbara D. Bovbjerg Director Education, Workforce, and Income Security.
Doug Elliott Sask Trends Monitor th Avenue Regina, Saskatchewan S4N 1H The Demographics of.
DSM Incentive Returns Proposal – Benefit/Cost Ratio Approach Utah Committee of Consumer Services Witness: David Dismukes Docket No T01 Supplemental.
Southeast Michigan Council of Governments. SEMCOG 2040 Regional Forecast SEMCOG 2040 Regional Forecast SEMCOG General Assembly March 22, 2012.
1 POPULATION PROJECTIONS Session 8 - Projections for sub- national and sectoral populations Ben Jarabi Population Studies & Research Institute University.
1 The Impact of the Recovery on Older Workers William M. Rodgers III Heldrich Center for Workforce Development Rutgers University and National Poverty.
Module 12: Advanced Session on using the RAP ILO, 2013.
THE UTAH ECONOMY Presentation by James Wood Bureau of Economic and Business Research University of Utah November 2011.
UTAH HOUSING MARKET: CYCLES AND CONDITIONS JAMES WOOD BUREAU OF ECONOMIC AND BUSINESS RESEARCH DAVID ECCLES SCHOOL OF BUSINESS UNIVERSITY OF UTAH APRIL.
Australia’s future population – where are we going? Patrick Corr Director, Demography Program Australian Bureau of Statistics 3 March 2011.
The Green of Gray: THE NEW ECONOMY of an Aging Population Michael D. Alexander, AICP “Mike” Research and Analytics Division Manager Atlanta Regional Commission.
Population, Economy and Society
A Stochastic Model of CPP Liabilities – Preliminary Results Rick Egelton Chief Economist CPPIB October 27, 2007 The views in this presentation reflect.
State Population Forecast: Office of Financial Management Forecasting Division November 29, 2012.
Figure 1. Trends in number of births and TFR: Japan, Source: Ministry of Health, Labour and Welfare, Vital Statistics, various years
Family Planning, Human Development and Growth in Uganda Jouko Kinnunen, VATT Hans Lofgren, World Bank Dino Merotto, World Bank Presentation for the Twelfth.
A Snapshot of Relevant Economic and Demographic Trends for the Future of Transportation Policy in Maine Michael Donihue Associate Professor of Economics.
State Demography Office Colorado Department of Local Affairs Growing Forward Population Trends in Archuleta County.
Economic Impacts of Population Change After Malaria Eradication Conference on Health Improvements for Economic Growth Cambridge, Massachusetts May 30,
Kelly Cunningham Economist, Senior Fellow Economic Outlook Post-recession economic recovery January 21, 2015.
Population Analysis: Terminology Estimate Projection Forecast Plan.
1 Understanding how the Trinidad and Tobago 2011 Census Data can inform National Development Presented by A. Noguera- Ramkissoon, UNFPA, OIC, SALISES Forum,
2014-based National Population Projections Paul Vickers Office for National Statistics 2 December 2015.
The Labour Market and the New Budgetary Framework Thomas Conefrey Irish Fiscal Advisory Council DPER Labour Market Policy Symposium 19 May 2015.
© 2006 Population Reference Bureau A.D A.D A.D B.C B.C B.C B.C B.C B.C B.C. 1+ million years 8.
1 Outline of social budget Nov 2010 Bangkok Hiroshi Yamabana International Financial and Actuarial Service (ILO FACTS) Social Security Department ILO
Elizabeth Garner State Demography Office Colorado Department of Local Affairs Transitions Population and Economic Trends.
Sectors Academy: Colorado’s Economic and Demographic Environment Alexandra Hall, Director Dee Funkhouser, Manager Labor Market Information Colorado Department.
Population change 1 What is demographic change?. 1.1 What is demographic change? The net change in the population store caused by the inputs of births.
WP5.4 – Transnational transfer of experiences Overview of methodology for population projections Jana Suklan – Piran.
HUMAN RESOURCE PLANNING 3. 3 OBJECTIVES Importance of Human Resource Planning Process of Human Resource Planning Factors Affecting Human Resource Planning.
National Association of Governmental Labor Officials
Demographic and Economic Projections,
Utah: School Age (5-17) and College Age (18-24) Population Estimates and Projections Sources: : Governor’s Office of Planning and Budget, Population.
POPULATION PROJECTIONS
CBO’s Assessment of the Economic Outlook
Presentation transcript:

Utah 2050: Alternative Futures Pam Perlich Ross Reeve Utah Long Term Projections Program Governor’s Office of Planning & Budget May 13, 1999

Contact Information Pam Perlich (801) Ross Reeve (801) Web Site:

Regional Scenarios Recent scenario analysis for Envision Utah has taken our 1997 UPED regional baseline and investigated different small area allocations of this baseline with other methods and models. The present study examines alternative demographic and economic paths for the State. These regional growth scenarios are a work in progress, not a new official baseline. We explore various possible future paths for the State’s population and economy.

Method & Timeframe Utilize the State’s long term simulation model: Utah Process Economic and Demographic Projection Model Identify high, medium, and low time paths for model exogenous variables and parameters: economic growth, fertility, life expectancy, and labor force participation Generate alternative growth scenarios to 2050

Long Term Simulations This ceterus paribus analysis approach acknowledges the uncertainty in the projections and identifies the potential range of outcomes. The method and time frame used here are standard practice for analogous Federal policy analysis simulations. GAO: The use of long term economic and demographic simulations can “help establish a long-term framework linking budget planning and long- term fiscal policy goals.”

Long Term Projections Office of Management & Budget: 2070 Congressional Budget Office: 2070 General Accounting Office: 2050 Social Security Administration: 2070 Bureau of the Census: 2100 United Nations: 2050

Utah Process Economic & Demographic Model (UPED) Economic Base Model Cohort Component Model Integrated Economic and Demographic Projections

UPED Model General Flowchart Population in Year t-1 Age & Survive; Births & Non- Employment Related In-Migration Adjusted Natural Increase Population Non-Employment Related Out-Migration & Employment Related Net In-Migration in Year t Population in Year t Labor Market Population Dependent Job Opportunities in Year t Labor Force in Year t Total Job Opportunities in Year t Basic Job Opportunities in Year t Recursive Iterative Direct Model Components Inputs & Outputs

Scenarios High Fertility Low Fertility Base Case High Basic GrowthSlow Basic Growth High Labor Force Participation Low Labor Force Participation High Survival Low Survival Ceterus Paribus Around the Base Case

Thirteen Scenarios Base Case: Medium fertility, mortality, economic growth, and labor force participation rates Eight Ceterus Paribus Change Cases: Around base case, as illustrated in previous slide Zero Migration: Economic Growth just sufficient so there is zero net employment related in-migration Zero Economic Growth: No growth in basic (export sector) employment High Population Case: High Fertility, Survival, Economic Growth, & Low Labor Force Participation Low Population Case: Low Fertility, Survival, Economic Growth, & High Labor Force Participation

Population Scenarios: Band Around 4.0 to 5.0 Million in 2050

Population: Rates of Employment Growth Define Extremes

Employment Growth Scenarios Employment growth is the driver of the long run population path -- it sets the extremes for total population in this analysis. These employment scenarios are based upon analyses of the State’s fifty year employment history. The future employment paths include the State’s short run forecast through The long-run employment scenarios start in the year 2001.

Five Employment Growth Cases High Growth: Increasing linear increments to employment Medium Growth: Employment growth sufficient to generate cumulative net in-migration of 18% of the population increase from Low Growth: Symmetrical employment growth with high employment around medium path Zero In-Migration: Employment growth that generates zero net migration Zero Basic Employment Growth: Constant basic employment level through time

High Employment Scenario: Linear Increments Non-Farm Payroll Employment

Medium Employment Case Net in-migration contributed 18% of population increase from Medium Case: Employment growth is sufficient to generate the same relative component contributions for

Low Employment Growth: Create Symmetrical Low Path (TOTAL EMPLOYMENT: Non-Farm Payroll, Farm, & Proprietors)

Zero Employment Growth (TOTAL EMPLOYMENT: Non-Farm Payroll, Farm, & Proprietors)

Zero Migration Employment Growth (TOTAL EMPLOYMENT: Non-Farm Payroll, Farm, & Proprietors)

Employment Paths (TOTAL EMPLOYMENT: Non-Farm Payroll, Farm, & Proprietors)

Population Paths for Five Employment Scenarios

Births: Five Employment Scenarios

Deaths: Five Employment Scenarios

Residual Migration: Five Employment Scenarios

Cumulative Components of Population Change: for Employment Scenarios

Three Fertility Cases Low Fertility: Converge to projected national total fertility rate by 2005 Medium Fertility: Constant at 1998 rates for Utah vs. about 2.0 for U.S. High Fertility: Maintain the difference in fertility rates (observed in 1990) between Utah and the U.S. with the national projections from 1999 to 2050.

Historical and Projected Total Fertility Rates for Utah and the U.S.

Population: Three Fertility Scenarios

Cumulative Population Change : Fertility Scenarios

Persons per Household: Three Fertility Cases

Median Age: Three Fertility Cases

School Age Population (5-17): Three Fertility Cases

Number of Persons Less Than 18 Years Old per 100 Persons 18 to 65 Years Old: Three Fertility Cases

Number of Persons 65 Years & Older per 100 Persons 18 to 65 Years Old: Three Fertility Cases

Total Dependency Ratio: Three Fertility Cases Number of Persons Less Than 18 Plus those 65 Years and Older Per 100 Persons 18 to 65 Years Old

Survival Scenarios Low: Survival Rates and life expectancy held constant at 1990 rates Medium: Converge to US rates by 2050 High: Maintain mean difference in life expectancy observed in 1970, 1980, and 1990 over projection interval. Projected US is Census middle series.

Life Expectancy at Birth: High Survival Case

Life Expectancy at Birth: Medium Survival Case

Life Expectancy at Birth: Low Survival Case

Population: Three Survival Cases

85+ Population: Three Survival Cases

85+ Population as a Share of Total Population: Three Survival Cases

Labor Force Participation Rate Cases Low Case: 5% less than the medium case Medium Case: Maintain relative differences with US series. High Case: 5% greater than the medium case

Utah Labor Force Participation Rates by Age Group: 1990 & 2020 Medium LFPR

Net Migration: Three LFPR Cases

Base Case: Natural Increase & Residual Migration

Utah & US Births: US Baby Boom:

Utah Annual Average Amount of Population Change by Decade: Base Case

MaleFemaleMaleFemale Utah: 1990Base Case: 2050

MaleFemaleMaleFemale Low Fertility: 2050Base Case: 2050

MaleFemaleMaleFemale Zero Migration: 2050Base Case: 2050

MaleFemaleMaleFemale Zero Basic Growth: 2050Base Case: 2050

Average Annual Percent Change in Population for Decade: (Base Case)

Utah & US Median Age of the Population: Base Case

Utah Dependency Ratios: (Base Case)

US Dependency Ratios:

Summary Utah has higher rates of economic and population growth, fertility, and survival than the nation. Growth in the demand for Utah’s exports and the associated increases in employment have the greatest effect on the state’s population size. Fertility, while affecting population size, has its greatest effects on age composition, average household size, and the components of population change. Survival has its greatest effects on the age composition, particularly on the number and share of the elderly population. Changing labor force participation rates act as a substitute for employment-related migration.