Urban Economics

class: center, middle, inverse, title-slide

.title[
# Urban Economics
]
.subtitle[
## Geographical Definitions and Data
]
.author[
### Hussain Hadah (he/him)
]
.date[
### 21 January 2024
]

---

layout: true
<div style="position: absolute;left:20px;bottom:5px;color:black;font-size: 12px;">Hussain Hadah (he/him) (Tulane) | Geographical Definitions and Data  | 21 January 2024</div>

---

class: title-slide
background-image: url("assets/TulaneLogo-white.svg"), url("assets/title-image1.jpg")
background-position: 10% 90%, 100% 50%
background-size: 160px, 50% 100%
background-color: #0148A4

.remark-slide table{
        width: auto !important; /* Adjusts table width */
    }

/* Change the background color to white for shaded rows (even rows) */

.remark-slide thead, .remark-slide tr:nth-child(2n) {
        background-color: white;
    }
    .remark-slide thead, .remark-slide tr:nth-child(n) {
        background-color: white;
    }
</style>

# .text-shadow[.white[Outline for Today]]

<ol>
    <li><h4 class="white">Go Over Some Geographic Definitions Briefly</h4></li>
    <li><h4 class="white">See Some Geographical Aggregation Levels</h4></li>
    <li><h4 class="white">Geographical Definitions & Scavenger Hunt</h4></li>
    <li><h4 class="white">Finding data on data.census.gov</h4></li>
</ol>

---
## Next Week <svg viewBox="0 0 448 512" style="height:1em;display:inline-block;position:fixed;top:10;right:10;" xmlns="http://www.w3.org/2000/svg">  <path d="M0 464c0 26.5 21.5 48 48 48h352c26.5 0 48-21.5 48-48V192H0v272zm64-192c0-8.8 7.2-16 16-16h288c8.8 0 16 7.2 16 16v64c0 8.8-7.2 16-16 16H80c-8.8 0-16-7.2-16-16v-64zM400 64h-48V16c0-8.8-7.2-16-16-16h-32c-8.8 0-16 7.2-16 16v48H160V16c0-8.8-7.2-16-16-16h-32c-8.8 0-16 7.2-16 16v48H48C21.5 64 0 85.5 0 112v48h448v-48c0-26.5-21.5-48-48-48z"></path></svg>

1. Agglomeration, Clusters, and Cities

2. Practice Jigsaw

### Readings <svg viewBox="0 0 576 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg">  <path d="M542.22 32.05c-54.8 3.11-163.72 14.43-230.96 55.59-4.64 2.84-7.27 7.89-7.27 13.17v363.87c0 11.55 12.63 18.85 23.28 13.49 69.18-34.82 169.23-44.32 218.7-46.92 16.89-.89 30.02-14.43 30.02-30.66V62.75c.01-17.71-15.35-31.74-33.77-30.7zM264.73 87.64C197.5 46.48 88.58 35.17 33.78 32.05 15.36 31.01 0 45.04 0 62.75V400.6c0 16.24 13.13 29.78 30.02 30.66 49.49 2.6 149.59 12.11 218.77 46.95 10.62 5.35 23.21-1.94 23.21-13.46V100.63c0-5.29-2.62-10.14-7.27-12.99z"></path></svg>

- Chapter 1 to 1.3 Brueckner

- Read Glaeser, Kolko, Saiz (2001)

- Read Kerr, Robert-Nicoud (2020)

---
class: segue-yellow
background-image: url("assets/TulaneLogo.svg")
background-size: 20%
background-position: 95% 95%

# Urban Economics and Data <svg viewBox="0 0 512 512" style="height:1em;display:inline-block;position:fixed;top:10;right:10;" xmlns="http://www.w3.org/2000/svg">  <path d="M496 128v16a8 8 0 0 1-8 8h-24v12c0 6.627-5.373 12-12 12H60c-6.627 0-12-5.373-12-12v-12H24a8 8 0 0 1-8-8v-16a8 8 0 0 1 4.941-7.392l232-88a7.996 7.996 0 0 1 6.118 0l232 88A8 8 0 0 1 496 128zm-24 304H40c-13.255 0-24 10.745-24 24v16a8 8 0 0 0 8 8h464a8 8 0 0 0 8-8v-16c0-13.255-10.745-24-24-24zM96 192v192H60c-6.627 0-12 5.373-12 12v20h416v-20c0-6.627-5.373-12-12-12h-36V192h-64v192h-64V192h-64v192h-64V192H96z"></path></svg>

---

## The Importance of Data

- To understand the economics of urban population, we will need data on them

- The data is based on the Census Bureau geographical unit

.blockquote[
###  .brand-crawfest[Census block]

- .black[Area bounded on all sides by visible features---streets, roads, streams, and railroad tracks---and by invisible boundaries---property lines and political boundaries. A block has between a few dozen to a few hundred people.]
]

.blockquote[
###  .brand-crawfest[Block group]

- .black[Group of contiguous census blocks.]
]

---
## Census Blocks

---
## Types of Urban Populations

.blockquote[
###  .brand-crawfest[Urbanized area]

- .black[A densely settled territory of census block groups and surrounding census blocks that meet a minimum population density. The minimum population density is 1,000 people per square mile for the core block groups and 500 people per square mile for the surrounding blocks.]
]

.blockquote[
###  .brand-crawfest[Urban cluster]

- .black[Is a scaled-down version of the urbanized area.]
]

.blockquote[
###  .brand-crawfest[Urban population]

- .black[All the people living in urbanized areas and urban clusters.]
]

---
## Urbanized Area Map

---
## Evolution of Metropolitan Area Definitions

- 1949: Standard Metropolitan Area (SMA)
- 1959: Standard Metropolitan Statistical Area (SMSA)
- 1983: Metropolitan Statistical Area (MSA)
- 1990: Metropolitan Area (MA) encompasses MSAs, CMSAs, PMSAs
- 2000: Shift to Core Based Statistical Areas (CBSAs)

---
## Core Based Statistical Area (CBSA)

.blockquote[
###  .brand-crawfest[Metropolitan Statistical Area]

- .black[Urbanized area with 50,000+ population]
]

.blockquote[
###  .brand-crawfest[Micropolitan Statistical Area]

- .black[Urban cluster with 10,000 to 50,000 population]
]

--
- Building blocks: Counties
- 361 Metropolitan and 559 Micropolitan areas (as of 2000)
- 93% of U.S. population in CBSAs (83% Metropolitan, 10% Micropolitan)

---
## Principal Cities in CBSAs

- Largest municipality is the principal city
- Additional cities qualify based on population and employment
- CBSA names include up to three principal cities and the states they extend into
- This format breaks down the information into digestible parts, suitable for presentation slides

---
## Metropolitan Statistical Area (MSA)

---
## Metropolitan Statistical Area (MSA)

---
## CBSA

---
class: center

## Scavenger Hunt

---
## Scavenger Hunt

- You will form groups with others in the classroom. Aim for groups of 2 or 3 people with at least one laptop.

- If in person, I prefer that you submit the scavenger hunt answers using Canvas
  - If you don't have a laptop with you then I can print the questions for you and you can complete it on paper
  - Let me know if you need this option
  - If using a printed copy, I'd prefer that you upload your answers to Canvas later instead of handing in the printed copy

- You are very welcome to move outside of the classroom. The entire rest of the class is dedicated to doing this activity, so you do not need to return. You may decide that it's better to work outside or in a different location. You can email me with any questions you have as i'll be monitoring my email during the activity.

---
## Data Sources

- Watch the video on Census data

- Complete the scavenger hunt