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Spring 2025: Week 09 slides (#28)
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slides/week09/slides.tex

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\textcolor{columbiadarkblue}{ECON G6905\\
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Topics in Trade\\
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Jonathan Dingel\\
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Autumn \the\year, Week 9}
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Spring \the\year, Week 9}
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\vfill
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\includegraphics[width=0.4\textwidth]{../images/Columbia_logo.png}
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\end{center}
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\end{equation*}
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\item In DD (2020), $T'(\tau)<0$ may be interpreted as commuting to CBD, proximity to
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productive opportunities, or consumption value
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\item Commuting time $T(\tau) = 24 - L - \tau$ and $G(\omega)$ is wage of skill $\omega$
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\item Linear city $S(\tau) = \tau$; disc city $S(\tau) = \pi \tau^{2}$
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\item Working time $T(\tau) = 24 - L - \tau$ and $G(\omega)$ is wage of skill $\omega$
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\item With uniform housing density: Linear city $S(\tau) = \tau$; disc city $S(\tau) = \pi \tau^{2}$
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\item More skilled are more willing to pay for more attractive locations
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\textcolor{gray}{(Net income is supermodular in $G(\omega)$ and $T(\tau)$)}
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\end{itemize}
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\only<1>{(works qualitatively, what about quantitatively?)}
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\only<2>{and
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not yet an adequate account of the density gradient}
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\begin{center}
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\only<1>{
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\includegraphics[height=0.75\textheight]{../images/CombesDurantonGobillon2019_fig1ab.pdf}\\
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{\scriptsize Combes, Duranton, Gobillon - \href{https://doi.org/10.1093/restud/rdy063}{The Costs of Agglomeration: House and Land Prices in French Cities}}
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\includegraphics[height=0.65\textheight]{../images/CombesDurantonGobillon2019_fig1ab.pdf}\\
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{\scriptsize (a) Paris (b) Toulouse; (.1) house prices (.2) land prices\\
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Combes, Duranton, Gobillon - \href{https://doi.org/10.1093/restud/rdy063}{The Costs of Agglomeration: House and Land Prices in French Cities}\par}
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}
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\only<2>{\includegraphics[height=0.70\textheight]{../images/DurantonPuga2015_fig1.pdf}\\
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{\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}
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}
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\end{center}
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\only<1>{}
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\end{frame}
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% -----------------------------------------
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\begin{frame}{Introducing housing quantities}
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See Ken Jackson's \href{https://en.wikipedia.org/wiki/Crabgrass_Frontier}{\textit{Crabgrass Frontier: The Suburbanization of the United States}}
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\end{frame}
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% -----------------------------------------
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\begin{frame}{Lower commuting costs flatten density gradients}
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Baum-Snow - \href{https://doi.org/10.1162/qjec.122.2.775}{Did Highways Cause Suburbanization?} (\textit{QJE} 2007)
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\begin{itemize}
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\item 1950-1990: Central city populations $\downarrow 17\%$, metro area populations $\uparrow 72\%$
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\item Use 1947 interstate highway plan as instrumental variable for number of rays emanating from central city constructed between 1950 and 1990
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\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
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\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
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\end{itemize}
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Not just roads: \href{https://doi.org/10.1016/j.jue.2018.09.002}{Gonzalez-Navarro, Turner (2018)}: subways $\to$ decentralize\\
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These findings match the monocentric model's story about commuting costs, but
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\begin{itemize}
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\item this model doesn't let jobs decentralize
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\item lower commuting costs do not increase total city population (much)
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\end{itemize}
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\end{frame}
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% -----------------------------------------
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\begin{frame}{Multiple transportation technologies}
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\begin{itemize}
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\item Consider a set of transportation technologies with a trade-off between fixed and variable costs (as a function of distance).
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\end{frame}
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% -----------------------------------------
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\begin{frame}{Contrast with quantitative spatial models}
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In the canonical model, location does not enter the direct utility function
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\begin{itemize}
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\item I do not directly care about location, but location matters because time commuting appears in my budget constraint
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\item Hallmark of price theory:
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transform a consumption problem into a production problem (I work at work or I work as a driver for myself)
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\end{itemize}
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\href{https://matthewturner.org/papers/unpublished/Thisse_Turner_Ushchev_unp_2021.pdf}{Thisse, Turner, Ushchev (2021)}
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contrast quantitative spatial models and canonical urban model
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\begin{itemize}
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\end{itemize}
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\end{frame}
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% -----------------------------------------
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\begin{frame}{Next week and the week after}
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Next week: No class
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\bigskip
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November 16: Spatial sorting of skills and sectors
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\begin{frame}{Next week}
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Next week: Spatial sorting of skills and sectors
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\end{frame}
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% -----------------------------------------
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\end{document}

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