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9 | 9 | \textcolor{columbiadarkblue}{ECON G6905\\ |
10 | 10 | Topics in Trade\\ |
11 | 11 | Jonathan Dingel\\ |
12 | | -Autumn \the\year, Week 9} |
| 12 | +Spring \the\year, Week 9} |
13 | 13 | \vfill |
14 | 14 | \includegraphics[width=0.4\textwidth]{../images/Columbia_logo.png} |
15 | 15 | \end{center} |
|
62 | 62 | \end{equation*} |
63 | 63 | \item In DD (2020), $T'(\tau)<0$ may be interpreted as commuting to CBD, proximity to |
64 | 64 | productive opportunities, or consumption value |
65 | | -\item Commuting time $T(\tau) = 24 - L - \tau$ and $G(\omega)$ is wage of skill $\omega$ |
66 | | -\item Linear city $S(\tau) = \tau$; disc city $S(\tau) = \pi \tau^{2}$ |
| 65 | +\item Working time $T(\tau) = 24 - L - \tau$ and $G(\omega)$ is wage of skill $\omega$ |
| 66 | +\item With uniform housing density: Linear city $S(\tau) = \tau$; disc city $S(\tau) = \pi \tau^{2}$ |
67 | 67 | \item More skilled are more willing to pay for more attractive locations |
68 | 68 | \textcolor{gray}{(Net income is supermodular in $G(\omega)$ and $T(\tau)$)} |
69 | 69 | \end{itemize} |
|
117 | 117 | \only<1>{(works qualitatively, what about quantitatively?)} |
118 | 118 | \only<2>{and |
119 | 119 | not yet an adequate account of the density gradient} |
| 120 | +\begin{center} |
120 | 121 | \only<1>{ |
121 | | - \includegraphics[height=0.75\textheight]{../images/CombesDurantonGobillon2019_fig1ab.pdf}\\ |
122 | | - {\scriptsize Combes, Duranton, Gobillon - \href{https://doi.org/10.1093/restud/rdy063}{The Costs of Agglomeration: House and Land Prices in French Cities}} |
| 122 | + \includegraphics[height=0.65\textheight]{../images/CombesDurantonGobillon2019_fig1ab.pdf}\\ |
| 123 | + {\scriptsize (a) Paris (b) Toulouse; (.1) house prices (.2) land prices\\ |
| 124 | + Combes, Duranton, Gobillon - \href{https://doi.org/10.1093/restud/rdy063}{The Costs of Agglomeration: House and Land Prices in French Cities}\par} |
123 | 125 | } |
124 | 126 | \only<2>{\includegraphics[height=0.70\textheight]{../images/DurantonPuga2015_fig1.pdf}\\ |
125 | 127 | {\scriptsize \href{https://doi.org/10.1016/B978-0-444-59517-1.00008-8}{Duranton and Puga (2015)}: ``Since monocentricity can always be rejected, the more interesting question is: How monocentric are cities?''\par} |
126 | 128 | } |
| 129 | +\end{center} |
| 130 | +\only<1>{} |
127 | 131 | \end{frame} |
128 | 132 | % ----------------------------------------- |
129 | 133 | \begin{frame}{Introducing housing quantities} |
|
180 | 184 | See Ken Jackson's \href{https://en.wikipedia.org/wiki/Crabgrass_Frontier}{\textit{Crabgrass Frontier: The Suburbanization of the United States}} |
181 | 185 | \end{frame} |
182 | 186 | % ----------------------------------------- |
| 187 | +\begin{frame}{Lower commuting costs flatten density gradients} |
| 188 | +Baum-Snow - \href{https://doi.org/10.1162/qjec.122.2.775}{Did Highways Cause Suburbanization?} (\textit{QJE} 2007) |
| 189 | +\begin{itemize} |
| 190 | +\item 1950-1990: Central city populations $\downarrow 17\%$, metro area populations $\uparrow 72\%$ |
| 191 | +\item Use 1947 interstate highway plan as instrumental variable for number of rays emanating from central city constructed between 1950 and 1990 |
| 192 | +\item Regressing 1950-1990 change in rays on 1940-1950 change in log MSA population yields significant positive coefficient; regressing planned rays yields insignificant negative point estimate |
| 193 | +\item 2SLS regression of central city population change on change in rays (plus some extra calculations) says highways can explain about 1/3 of the observed decline |
| 194 | +\end{itemize} |
| 195 | +Not just roads: \href{https://doi.org/10.1016/j.jue.2018.09.002}{Gonzalez-Navarro, Turner (2018)}: subways $\to$ decentralize\\ |
| 196 | +These findings match the monocentric model's story about commuting costs, but |
| 197 | +\begin{itemize} |
| 198 | +\item this model doesn't let jobs decentralize |
| 199 | +\item lower commuting costs do not increase total city population (much) |
| 200 | +\end{itemize} |
| 201 | +\end{frame} |
| 202 | +% ----------------------------------------- |
183 | 203 | \begin{frame}{Multiple transportation technologies} |
184 | 204 | \begin{itemize} |
185 | 205 | \item Consider a set of transportation technologies with a trade-off between fixed and variable costs (as a function of distance). |
|
273 | 293 | \end{frame} |
274 | 294 | % ----------------------------------------- |
275 | 295 | \begin{frame}{Contrast with quantitative spatial models} |
| 296 | +In the canonical model, location does not enter the direct utility function |
| 297 | +\begin{itemize} |
| 298 | +\item I do not directly care about location, but location matters because time commuting appears in my budget constraint |
| 299 | +\item Hallmark of price theory: |
| 300 | +transform a consumption problem into a production problem (I work at work or I work as a driver for myself) |
| 301 | +\end{itemize} |
276 | 302 | \href{https://matthewturner.org/papers/unpublished/Thisse_Turner_Ushchev_unp_2021.pdf}{Thisse, Turner, Ushchev (2021)} |
277 | 303 | contrast quantitative spatial models and canonical urban model |
278 | 304 | \begin{itemize} |
|
498 | 524 | \end{itemize} |
499 | 525 | \end{frame} |
500 | 526 | % ----------------------------------------- |
501 | | -\begin{frame}{Next week and the week after} |
502 | | -Next week: No class |
503 | | -\bigskip |
504 | | -November 16: Spatial sorting of skills and sectors |
| 527 | +\begin{frame}{Next week} |
| 528 | +Next week: Spatial sorting of skills and sectors |
505 | 529 | \end{frame} |
506 | 530 | % ----------------------------------------- |
507 | 531 | \end{document} |
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