nep-tur New Economics Papers
on Tourism Economics
Issue of 2013‒09‒24
four papers chosen by
Laura Vici
Universita' di Bologna

  1. Seasonal Stability Tests in gretl. An Application to International Tourism Data By Díaz-Emparanza Herrero, Ignacio; Moral Zuazo, María Paz
  2. Quantified Traveler: Travel Feedback Meets the Cloud to Change Behavior By Jariyasunant, Jerald; Abou-Zeid, Maya; Carrel, Andre; Ekambaram, Venkatesan; Gaker, David; Sengupta, Raja; Walker, Joan L.
  3. DYPES: Vertical differentiation, schedule delay and entry deterrence: Low cost vs. full service airlines By Jorge Valido; M. Pilar Socorro; Francesca Medda
  4. The Driving Force behind the Boom and Bust in Construction in Europe By Yan Sun; Pritha Mitra; Alejandro Simone

  1. By: Díaz-Emparanza Herrero, Ignacio; Moral Zuazo, María Paz
    Abstract: The seasonal stability tests of Canova & Hansen (1995) (CH) provide a method complementary to that of Hylleberg et al. (1990) for testing for seasonal unit roots. But the distribution of the CH tests are unknown in small samples. We present a method to numerically compute critical values and P-values for the CH tests for any sample size and any seasonal periodicity. In fact this method is applicable to the types of seasonality which are commonly in use, but also to any other.
    Keywords: unit roots, surface response analysis, seasonality, Canova-Hansen
    JEL: C22 C63 C87
  2. By: Jariyasunant, Jerald; Abou-Zeid, Maya; Carrel, Andre; Ekambaram, Venkatesan; Gaker, David; Sengupta, Raja; Walker, Joan L.
    Abstract: We describe the design and evaluation of a system named Quantified Traveler (QT). QT is a Computational Travel Feedback System. Travel Feedback is an established programmatic method whereby travelers record travel in diaries, and meet with a counselor who guides her to alternate mode or trip decisions that are more sustainable or otherwise beneficial to society, while still meeting the subject’s mobility needs. QT is a computation surrogate for the counselor. Since counselor costs can limit the size of travel feedback programs, a system such as QT at the low costs of cloud computing, could dramatically increase scale, and thereby sustainable travel. QT uses an app on the phone to collect travel data, a server in the cloud to process it into travel diaries and then a personalized carbon, exercise, time, and cost footprint. The subject is able to see all of this information on the web. We evaluate with 135 subjects to learn if subjects let us use their personal phones and data-plans to build travel diaries, whether they actually use the website to look at their travel information, whether the design creates pro-environmental shifts in psychological variables measured by entry and exit surveys, and finally whether the revealed travel behavior records reduced driving. Before and after statistical analysis and the results from a structural equation model suggest that the results are a qualified success.
    Keywords: Engineering, sustainable transportation, computational travel feedback
    Date: 2013–09–01
  3. By: Jorge Valido; M. Pilar Socorro; Francesca Medda
    Abstract: We consider a market with a full-service (FS) carrier (the incumbent) and a low-cost (LC) carrier (the potential entrant). If the LC carrier enters the market, airlines compete in ticket prices and frequency with vertically differentiated products. The higher the frequency, the lower passenger’s generalized price. Thus, more frequency allows airlines to increase ticket prices without losing demand. In this context, we show that the incumbent may increase the frequency offered in order to deter the LC carrier entry. We show that if the airport capacity is low enough the LC carrier entry can be easily blocked or deterred. However, if the airport capacity is sufficiently high, the LC carrier entry must be accommodated.
    Date: 2013–07
  4. By: Yan Sun; Pritha Mitra; Alejandro Simone
    Abstract: This paper studies the factors behind pro-cyclical but widely varying construction shares (as a percent of GDP) across countries, with a strong focus on European countries. Using a dataset covering 48 countries (including advanced and emerging economies within and outside Europe) for 1990-2011, we find that country’s geography, demographics, and economic conditions are the key determinants of a norm around which actual construction shares revolve in a simple AR(1) and error-correction process. The empirical results show that in many European countries, construction shares overshoot relative to their norms before the recent global crisis, but they have fallen significantly since the crisis. Nevertheless, there is still room for further adjustment in construction shares in some countries which may weigh on economic recovery.
    Keywords: Infrastructure;Europe;Euro Area;Housing;Tourism;Economic conditions;Demand;Business cycles;Developed countries;Developing countries;Cross country analysis;Construction, Business Cycle, Error-correction, European Growth
    Date: 2013–08–21

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