nep-tre New Economics Papers
on Transport Economics
Issue of 2019‒09‒16
five papers chosen by
Erik Teodoor Verhoef
Vrije Universiteit Amsterdam

  1. The Impact of the Heathrow Northwest Runway Announcement on Residential Property Prices in Greater London By Leo Papageorgiou
  2. The 2008 US Auto Market Collapse By Bill Dupor; M. Saif Mehkari; Rong Li; Yi-Chan Tsai
  3. Durables and Lemons: Private Information and the Market for Cars By Richard Blundell; Ran Gu; Soren Leth-Petersen; Hamish Low; Costas Meghir
  4. Taxes, traffic jam and spillover in the metropolis By Tidiane Ly
  5. Consumer Awareness of Plug-in Electric Vehicles: A Study of Sacramento By Hardman, Scott; Jang, Nora; Garas, Dahlia

  1. By: Leo Papageorgiou
    Abstract: As prior research has shown, airport expansions in densely populated urban areas affect homeowners in surrounding areas. The effect on prices is expected to be particularly pronounced in the London urban area due to the high absolute valuations. This study will examine the announcement effects of (a) the release of the planning report for Heathrow’s Northwest Runway on 01.07.15, (b) the acceptance of the plan by the Secretary for Transport on 14.12.2015, and (c) the official government approval for the initiation of Heathrow’s airport expansion on 25.10.2016. The research focus of this paper lies on the extent to which prices of single family, terraced and semi-detached homes in those areas not yet affected by Heathrow’s runway noise changed as a consequence of the announcements. In this context, it is of particular interest whether the observed changes in property prices match the noise contour proposed by the official planners’ report. The novelty of this study lies in the fact that we focus on the home price effects of the announcement of an airport expansion. For airports as opposed to other infrastructure projects, announcement effects have so far not been analyzed in the literature. This is understandable as the area affected by airport expansions tends to be not only far larger than other infrastructure projects, such as sports stadiums, but they are also more uncertain. In fact, the expected future effects can vary significantly with advancing technology and changing mobility patterns.Literature. The related literature reaches back to 1978, when Mieszkowski & Saper estimated the effects of airport noise on residential property values at Toronto’s Malton Airport. In 1990, Pennington et al. measured the same effect at Manchester’s airport. In a similar study in 1998, Tomkins, et. al. found that at Manchester’s airport the benefits of expansion extended beyond the local economy, while the costs were concentrated locally. In 2000, Espey & Lopez found a significant negative price discount for surrounding residential buildings near RenoSparks’ airport. In 2004, Nelson aggregated 20 studies covering 33 estimates of price discounts for 23 airports in Canada and the US to develop a model to explain the percentage drop per decibel increase in airport noise. The first airport expansion case in combination with noise discounts was analyzed by Mcmillen in 2004 on the basis of the 1997 Chicago O’Hare expansion. In 2009, Dekkers & Straaten found that noise discounts for residential property at Amsterdam’s airport surpassed railway and road noise discounts. In 2015, Suksmith & Nitivattananon showed that the noise of aircraft near Bangkok’s airport had an even higher impact on residential house prices than air pollution. The most similar analysis in terms of the data set and the focus on announcement effects is Kavetsos (2012), who measured the impact of the London Olympics announcement on residential prices. He found that properties in host boroughs sold at a 2.1%-3.3% premium after the announcement. Data. The data selected for this research are limited to Greater London due to its economic importance, a high international interest in changes of London property prices, and the amount of available public data. We use transactions data with price and date information retrieved from the UK Land Registry. Leasehold transactions and all but terraced and semi-detached building types are excluded. These 1-3 storey single family homes are very typical of London and allow for good comparability of sqqure meter prices. Single flats in multi-family homes, detached homes, and other types are excluded to avoid different square meter prices at the same address. The second data set used is the Ministry of Housing database, which provides detailed Energy Performance Certificates of the size and building material of each home. Since the data set is limited to Greater London and a large number of buildings are appraised in the metropolitan area of London, more than half of the addresses are matched from 1995 to 2018. The time window is reduced to 01.01.2015-31.12.2017 to cover all announcement dates tested. Methodology. We use a difference-in-difference approach, based on least squares, on the level of the individual property. For the treatment area, we compare the current Heathrow noise map and with the one predicted for 2030. The following control variables, which vary over time, capture demographic changes on the borough level: the percentage of elderly, young, and immigrants; population density, new unemployment rate, average taxpayer income. GIS is used to create control variables for distances from each address to the nearest amenity that could influence the value of a property: to the central business district, sub-centers, metro stations, rivers, kindergardens, schools, universities, and industrial areas. Time fixed effects capture changes that affect both the treated and the control areas.Preliminary Results. The preliminary results are summarized in Table 1. They imply that there is a full 2 month reporting-timelag due to the transaction duration. Contrary to popular opinion, the impact on prices occurred shortly after the government acceptance was published on 14.12.15 and not on the initial planning report release on 01.07.15. The results show that political announcements have a positive relationship with home prices. The magnitude of the effects increases as announcements become more official and airport expansion plans become more realistic. One fact to be highlighted is that the downward movement of prices was unexpectedly reversed with a public release by Tory and Labour members to vote against the airport expansion. Table 1: Table of Results of OLS Regression# Effect Date Price Discounts Announcement Date Announcement1 2,2016 -4.27%* 14.12.15 Gov. accepts expansion2 9,2016 -6.07%** 19.07.16 shareholders confirm runway funding3 12,2016 -4.14%* 25.10.16 Gov. approves expansion4 4,2017 -7.37%** 02.02.17 Gov. published its draft NPS on a third runway5 6,2017 -4.53%* 26.04.17 call for tender expansion & logistics 6 8,2017 -6.39%** 26.07.17 modified air quality plan7 11,2017 8.96%*** 24.08.17 Tory and Labor announce vote against the expansion
    Keywords: Airport; Heathrow; London; Noise; Runway
    JEL: R3
    Date: 2019–01–01
    URL: http://d.repec.org/n?u=RePEc:arz:wpaper:eres2019_97&r=all
  2. By: Bill Dupor (Federal Reserve Bank of St. Louis); M. Saif Mehkari (University of Richmond); Rong Li (Renmin University of China); Yi-Chan Tsai (National Taiwan University)
    Abstract: New vehicle sales in the U.S. fell nearly 40 percent during the last recession, causing significant job losses and unprecedented government interventions in the auto industry. This paper explores two potential explanations for this decline: falling home values and falling households’ income expectations. First, we establish that declining home values explain only a small portion of the observed reduction in household new vehicle sales. Using a county-level panel from the episode, we find: (1) A one-dollar fall in home values reduced household new vehicle spending by 0.5 to 0.7 cents and overall new vehicle spending by 0.9 to 1.2 cents; and (2) Falling home values explain between 16 and 19 percent of the overall new vehicle spending decline. Next, examining state-level data from 1997-2016, we find: (3) The short-run responses of new vehicle consumption to home value changes are larger in the 2005-2011 period relative to other years, but at longer horizons (e.g. 5 years), the responses are similar across the two sub-periods; and (4) The service flow from vehicles, as measured by miles traveled, responds very little to house price shocks. We also detail the sources of the differences between our findings (1) and (2) from existing research. Second, we establish that declining current and expected future income expectations potentially played an important role in the auto market’s collapse. We build a permanent income model augmented to include infrequent, repeated car buying. Our calibrated model matches the pre-recession distribution of auto vintages and the liquid-wealth-to-income ratio, and exhibits a large vehicle sales decline in response to a mild decline in expected permanent income due to a transitory slowdown in income growth. In response to the shock, households delay replacing existing vehicles, allowing them to smooth the effects of the income shock without significantly adjusting the service flow from their vehicles. Combining our negative results regarding housing wealth with our positive model-based findings, we interpret the auto market collapse as consistent with existing permanent income based approaches to durable goods purchases (e.g., Leahy and Zeira (2005)).
    Date: 2019
    URL: http://d.repec.org/n?u=RePEc:red:sed019:66&r=all
  3. By: Richard Blundell (University College London); Ran Gu (University of Essex); Soren Leth-Petersen (University of Copenhagen); Hamish Low (University of Oxford); Costas Meghir (Cowles Foundation, Yale University, NBER, IZA, CEPR, and Institute for Fiscal Studies)
    Abstract: We specify an equilibrium model of car ownership with private information where individuals sell and purchase new and second-hand cars over their life-cycle. Private information induces a transaction cost and distorts the market reducing the value of a car as a savings instrument. We estimate the model using data on car ownership in Denmark, linked to register data. The lemons penalty is estimated to be 18% of the price in the first year of ownership, declining with the length of ownership. It leads to large reductions in the turnover of cars and in the probability of downgrading at job loss.
    Keywords: Lemons penalty, Car market, Estimated life-cycle equilibrium model
    JEL: D82 E2
    Date: 2019–09
    URL: http://d.repec.org/n?u=RePEc:cwl:cwldpp:2197&r=all
  4. By: Tidiane Ly (Univ Lyon, CNRS, GATE UMR 5824, F-69130 Ecully, France; Institute of Economics (IdEP), Faculty of Economics, Università della Svizzera italiana)
    Abstract: This paper studies local governments' public policies in a metropolitan area plagued by traffic congestion, where both residents and workers consume local public goods. We develop a new spatial sub-metropolitan tax competition model which features a central city surrounded by suburban towns linked by mobile capital and mobile residents who commute to work. We show that Pareto-efficiency is achieved if towns can retain their workers using labor subsidies. Otherwise, traffic congestion in the city is inefficiently high and local governments respond by setting inefficient public policies: (1) the city over-taxes capital and under-taxes residents, which leads to too little capital and too many residents in the city; (2) local public goods are under-provided in the city and over-provided in the towns.
    Keywords: Tax competition, Urban economics, Traffic congestion, Public goods, Mobility
    JEL: H71 H72 R50 R51
    Date: 2019
    URL: http://d.repec.org/n?u=RePEc:gat:wpaper:1925&r=all
  5. By: Hardman, Scott; Jang, Nora; Garas, Dahlia
    Keywords: Social and Behavioral Sciences
    Date: 2019–09–01
    URL: http://d.repec.org/n?u=RePEc:cdl:itsdav:qt7sw5b5vk&r=all

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