|Assignment (+link to assignment page)
||assignment posted by
||Unit(s) of analysis
||suggested page length
||percent of grade
|1. Place Analysis
||select 2 cases for your comparative case study
||initial survey of data and other documentation availability
||place (neighborhood, city or region)
||2-4 pages including a few simple reference maps
What to turn in on Jan 27 (see below)
The purpose of this first assignment is to help you identify two places that would be suitable for analysis throughout the semester (Assignments 1 - 5). The two places will likely be cities, metropolitan areas of regions -- though in some cases a section of a city (e.g., neighborhood) might also be feasible.
Use this initial assignment to assess the availability of economic and demographic data for the two locations:
- Is data available for a wide range of variables? e.g., employment by industry and occupation, income, firm-level data, poverty rates, unemployment rates, labor force participation rates, population by subgroups, education levels, etc.
- Is data available at various time points (e.g., both contemporary data and at least one time point in the past -- such as 2005 and 1995?). This will be critical to examine changes over time.
- Can you find data at a sufficient level of disaggregation (e.g., employment not just for manufacturing as a whole, but by detailed subsectors)?
- Is data also available for the larger geographic context? (e.g., the region, state/province and/or nation-state that contains the city)? This will be important in examining the relative industrial mix of the city or region compared to the nation as a whole.
- On a somewhat different note, do the two places contain interesting local economic dynamics and/or economic development policies? [This will make your project more engaging.]
a combination of narrative, several reference maps, a simple data table, including:
- a concise description of the two proposed case studies (including precise boundaries: e.g., are you using municipal boundaries, metropolitan boundaries, etc.?)
- a simple reference map of each of the two places (small and plain is fine).
- a simple overview table with a few basic statistics (e.g., population, per capita income and/or poverty, unemployment rate, leading sectors, a simple measure of economic growth or decline). Be selective with what material you include (i.e., emphasize the quality of data, not the quantity). This table should provide a quick, vivid "sense of (economic) place". [and don't forget to provide source information for all data].
- the logic of the comparison of the two cases, perhaps based on the characteristics of the two cases (e.g., economic, political, social, historical, etc.). For example: two older industrial cities attempting to restructure as high-tech centers, etc.
- 3 - 5 thematic questions that you plan to address through your two case studies (e.g., is casino gambling a viable economic development strategy? Is a university a sufficient economic base for a community? Does a failing public school system invariably hinder local economic development? How many jobs does the new sustainable "green" economy generate?
- a brief, initial evaluation of the availability of economic and demographic data (see above) and information on local economic development planning/policies. This section can be very short, but do get a good sense of whether your tentative cases will work for the class assignments. This is particularly important for (a) cities outside the U.S. and (b) cases where you use unusual geographic boundaries -- e.g., if you are looking at a specific neighborhood, can you get the data at this geographic scale?
- NOTE: if you find early on that your initial case selections will NOT work for the project, I would encourage you to quickly explore alternative cases that are more viable. Feel free to contact me if you worry that your cases are problematic and we can think through alternatives.
WHAT TO TURN IN on Jan 27:
• a paper copy of your assignment (one per group)
-- bring to class.
• upload an electronic version of your assignment to your ctools drop box (one per group) before the start of class-- pdf format preferred.
File name (important): please use the following file name: g[group number]assign1.pdf (e.g., g4assign1.pdf). (Note: I will post your group number here.)
JANUARY 27: SHORT PRESENTATIONS
The written assignments are due January 27. Please also be ready to briefly (3-5 minutes) discuss your two cases on this day, including:
- your logic of selection,
- your central thematic questions,
- any methodological advice or challenges you have already encountered (e.g., finding data), and
- useful data sources you have found (please post these on the ctools "wiki" section -- in either the U.S. or International Data Sources sections).
- note: you do not need to create a powerpoint presentation. We can simply project parts of your pdf file (e.g., your map and table) in class.
Data Issues -- Please also consider these possible concerns
- Language of data sources (if not English)
- Boundary issues:
- city or metro area?
- Inconsistent boundaries for different data sets for the same city (e.g., some are city-level, some regional, etc.) -- short answer: do the best with what you have and note the consequences of using different geographic areas (since cities will have somewhat different economic profiles than regions).
- Determining the relevant larger geographic unit?
- City vs. metro?
- City vs. state/province?
- City vs. nation-state?
- Time series data: can you find data both for the most recent time point and also at least one historical time point? (e.g., 2005 and 1995).
- Level of disaggregation of data: e.g., can you find not just manufacturing employment, but also broken down by sub-sector (e.g., steel, autos, computers, etc.)?
- Data for the two cities in different years (especially happens with cities from different countries). E.g., country A has data from years 1980, 1990, 2000, etc., but country B has data from years 1985, 1995, 2005, etc. Answer? That is not an intrinsic problem. Just label all data clearly: year, geography, source.
- (similar to #6): one place’s data is just at the city level, the other just at the metro/regional level. Answer? That is not an intrinsic problem. Just label all data clearly: year, geography, source. However, unlike #6, the dynamics of cities vs. regions will mean that statistical differences between the two places may reflect differences in geographic boundaries, NOT just differences in the two economies per se.
- Inflation distorts time-series data. Solution: control with deflators (i.e., convert to constant values). NOTE: there is a wide range of deflators (e.g., the CPI). Find the most appropriate one for your country (and if appropriate), sector.
I have created a site with various useful sources -- with statistical sources in the right-hand column.
Ideally the various
groups in the class will select an interesting and diverse range of cities that
include both growing and declining local economies.
the Midwestern US (e.g. Detroit, Cleveland, Chicago, Grand Rapids, Flint)
other US locations (e.g., San Francisco, Austin, Atlanta, Los Angeles,
international locations (e.g., Shanghai, Berlin, Nairobi, Durban, Brasilia,
scales and examples
a neighborhood (e.g., southwest Detroit)
a region (such as southern Appalachia, the Upper Peninsula of Michigan,
Silicon Valley, the Mississippi Delta, the Basque region of Spain, Kosovo, Kashmir,
a tourist destination (such as Hawaii, Disneyword, EuroDisney, Times Square,
Las Vegas, Bahamas, the new casinos in Detroit)
Note: there are some advantages in picking a location that you either know or can visit
during the semester, but certainly not necessary.
for case selection:
You can select any two locations, but choosing based on some interesting commonalities
and differences can lead to useful analytical contrasts. Here are
several types of comparisons:
- two adjacent cities (e.g.,
Ann Arbor and Ypsilanti; New York and Newark; San Francisco and
- cities on opposite sides
of a national border (e.g., San Diego and Tijuana; Detroit and Windsor)
- two cities with apparently
similar economic bases (e.g., Buffalo and Pittsburgh; Austin and Seattle).
- cities with similar economic
woes (Benton Harbor, MI and Camden, NJ; Gary, IN and Youngstown, OH)
- two state capitals (Sacramento,
CA and Albany, NY)
- two national capitals
(Bangkok and New Delhi)
- two global cities (London
- a capital and a non-capital within the same country (e.g., Shanghai and Beijing; Berlin and Frankfurt; Brasilia and Rio).
You may instead select two economic regions (rather than cities). These
can be defined as a county or group of counties (e.g., MSA), a state, a group
of states, or any other useful boundary
- Southeast Michigan and
Northeast Ohio; Sonora, Mexico and Texas; Scottish Highlands and
Scottish Lowlands; etc.
In addition, you will later find
it useful to compare your two locations to a larger context (such as national-level
if you are comparing Ann Arbor and Ypsilanti, you might also compare to statistics
at the Washtenaw County , SE Michigan, Michigan, Midwest and/or US levels).
For ideas about the case study method, please see the selected readings by Robert Yin in the ctools "Resource" section.
IMPORTANT FINAL WORD: Use complete and correct citations (really small footnotes or references fine -- or perhaps use footnotes on one page and have a separate "sources" page). Refer to all sources used (including data, maps, images, tables, graphs, course readings and materials found on the Internet). Please familiarize yourself with standard practice of academic integrity in coursework. --> See this link for complete information.