Title: Regional Analysis Methods
1Regional Analysis Methods
- Benchmarking, Location Quotients, Shift-share
2Agenda
- Review
- Shift-Share
- What is it?
- How do you do it?
- What does it mean?
- Tools for interpreting
- Cautions and limits
- Multipliers
- Policy Map?
3First Assignment Q1
- What was the population of Allegheny County in
2000 and 2004 (Census or BEA)? - 2000 1,279,817 (BEA - REIS or Census July
1est.) - or 2000 1,281,666 (Census 2000 (SF1) - April
1 estimate) - 2004 1,247,512 (BEA-REIS)
4First Assignment Q2-4
- How many total jobs were available in Allegheny
County in 2004? - 861,868 (BEA total employment)
- How many Allegheny County residents were employed
in 2004? - 604,203 (BLS, CPS/LAUS)
- What was the total "covered" employment in 2004?
- 685,878 (BLS, QCEW)
5Second Assignment - I
- When you are benchmarking one region against
another, there are many factors to consider in
the selection of an appropriate benchmark. Name
two (2) - If you are studying a region with dynamic annual
changes, what is the best method to calculate the
growth rates? - You should never use a location quotient for what
purpose?
6Â Second Assignment Part 2
- There a several considerations for interpreting a
location quotient. Name two (2) -  What is the difference between a firm and an
establishment?
7How do we interpret Pghs Growth?
8We can look at a basic view
9Or a little more complexity
10Basic benchmarking can be helpful
11Basic benchmarking can be helpful
12- But these descriptions still havent explained
much
13Location Quotients
Interpretation
14Shift-Share
- What are the 3 components of a shift-share
analysis? - A competitive industry is defined as WHAT?
- Explain
- National share
- Industry Mix
- Regional Shift
- What are the limits of shift-share?
15Albuquerque, 1970-1990
- 127 total employment growth
- 190,000 Jobs
- What explains this growth?
16Three factors
- Growth of the national economy
- Presence of growth industries (or declining ones)
- Local competitive factors
Diff btw US actual ch.
17Brief Glossary
- R actual regional change
- N change due to national growth
- M Industry mix effect
- S regional shift effect
18Growth of the U.S. Economy
- If Alb had grown at the U.S. rate, it would have
added 83,770 jobs. - The growth of the U.S. economy accounted for
83,770, or 44 of the actual change. - Alb in fact added more than 191,000 jobs so
something else must explain the regions growth
19The mix of industries in the region
- The presence of growth industries were not a
major factor in the regions performance. Growth
industries on the whole accounted for 8 of the
actual change, which equaled 14,595 jobs. - Must add jobs faster than the nation as a whole
to have a positive Mix effect
20Local competitive factors
- The shift-share analysis estimates that 49 of
the growth in employment is the result of local
competitive conditions. - 93, 263 of the jobs created in Albuquerque were
due to these local advantages - These advantages were spread across every
industry but one Mining.
21Albuquerque Industry Data
22What are the key industries?
- We can combine statistics on economic growth, the
shift-share, and specialization (LQs) to
highlight leading and lagging industries.
23Finding Key Industries
24State and Local Gov
- It is a large industry in the region with
considerable growth. - It is not a growth industry nationally but this
industry does not move on strictly national
dynamics. - It is a desirable goal to growth this industry?
25Manufacturing
- Still somewhat small only 7 of regional
employment, less then 27,000 employees. - Potential emerging sector in the region, but the
sector is declining nationally - Can Alb capture more of this industry and for how
long? - Are there subsectors in which the region has a
concentration and an advantage that are growing?
26Services
- Employment in Services accounts for 25 of the
regions employment (comparable to the US share).
- The industry grew by 70,000 jobs in the region
(190), well above national and industry growth - Local factors were positive, but contributed less
to the growth than national and industry factors.
27Shift-share benchmarking
28You may need to normalize the data
29The level of industry detail impacts the
shift-share analysis
- More detail increases the accuracy of the
industry mix effect and the local shift.
30The time frame impacts the shift-share
- If the industry structure changes dramatically
then a longer time frame distorts the industry
mix effect.
31Strategies for missing data
- Ignore it
- Find an alternative source
- Estimate missing midpoint data with an average or
linear projection - Use the proportion of the industry from a higher
level of geography - Project the missing data based on regional growth
- Project the missing data based on national
industry growth
32Comparing the 3 "Solutions" to missing data
1 estimate nondisclosed data 2 ignore
nondisclosed data or assume 0 3 exclude
missing sectors entirely
33Multipliers
- What is a multiplier?
- Based on industry input-output
- How do you use them correctly
- Change in final demand
- Substitution
- Total vs. direct vs. indirect jobs
- Sources
- RIMS II
- IMPLAN
- REMI