scholarly journals The Effects of Gasoline Prices on Bus Ridership for Different Types of Transit Systems

2012 ◽  
Vol 47 (3) ◽  
Author(s):  
Jeremy Mattson
Keyword(s):  
Great Plains ◽  
Aggregate Data ◽  
Gasoline Prices ◽  
Delayed Effect ◽  
Gasoline Price ◽  
Transit Systems ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Different Types ◽  
Lag Model

This study estimates the effects of gas prices on bus ridership for different types of transit systems. Because the price of gas can have a delayed effect on the demand for transit, a dynamic polynomial distributed lag model is utilized which measures short- and longer-run effects. The model is first applied to aggregate data for cities of different sizes and then to three specific small urban and rural transit systems in the Upper Great Plains. The results show that bus ridership is fairly inelastic with respect to gasoline price. Most of the estimated elasticities are in the range of 0.08 to 0.22, with two estimates being as high as 0.5.

scholarly journals Assessment of Risk Hospitalization due to Acute Respiratory Incidents Related to Ozone Exposure in Silesian Voivodeship (Poland)

2020 ◽  
Vol 17 (10) ◽  
pp. 3591 ◽  
Author(s):  
Ewa Niewiadomska ◽  
Małgorzata Kowalska ◽  
Adam Niewiadomski ◽  
Michał Skrzypek ◽  
Michał A. Kowalski
Keyword(s):  
Meteorological Data ◽  
Acute Bronchitis ◽  
International Classification Of Diseases ◽  
Ozone Exposure ◽  
Delayed Effect ◽  
Distributed Lag ◽  
Limit Value ◽  
Distributed Lag Model ◽  
Short Period ◽  
Lag Model

The main aim of this work is the estimation of health risks arising from exposure to ozone or other air pollutants by different statistical models taking into account delayed health effects. This paper presents the risk of hospitalization due to bronchitis and asthma exacerbation in adult inhabitants of Silesian Voivodeship from 1 January 2016 to 31 August 2017. Data were obtained from the daily register of hospitalizations for acute bronchitis (code J20–J21, International Classification of Diseases, Tenth Revision – ICD-10) and asthma (J45–J46) which is governed by the National Health Fund. Meteorological data and data on tropospheric ozone concentrations were obtained from the regional environmental monitoring database of the Provincial Inspector of Environmental Protection in Katowice. The paper includes descriptive and analytical statistical methods used in the estimation of health risk with a delayed effect: Almon Distributed Lag Model, the Poisson Distributed Lag Model, and Distributed Lag Non-Linear Model (DLNM). A significant relationship has only been confirmed by DLNM for bronchitis and a relatively short period (1–3 days) from exposure above the limit value (120 µg/m3). The relative risk value was RR = 1.15 (95% CI 1.03–1.28) for a 2-day lag. However, conclusive findings require the continuation of the study over longer observation periods.

Short Term Price and Dealing Effects in Selected Market Segments

1965 ◽  
Vol 2 (2) ◽  
pp. 171-185 ◽  
Author(s):  
William F. Massy ◽  
Ronald E. Frank
Keyword(s):  
Market Share ◽  
Aggregate Data ◽  
Relative Price ◽  
Short Term ◽  
Market Segments ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Package Size ◽  
Lag Model

Changes in relative price and dealing activity are likely to affect different segments of the market in different ways. A distributed lag model is developed for predicing a firm's market share over a period of weeks from knowledge of the changes in these variables. It is tested on aggregate data for a metropolitan market, and applied to data for three classes of underlying segments. The bases for segmenting the market are by family purchasing characteristic, package size, and channel of distribution.

scholarly journals The Determinants of Tourist Expenditure Per Capita in Thailand: Potential Implications for Sustainable Tourism

2021 ◽  
Vol 13 (12) ◽  
pp. 6550
Author(s):  
Wanvilai Chulaphan ◽  
Jorge Fidel Barahona
Keyword(s):  
Natural Resources ◽  
Sustainable Tourism ◽  
Least Square ◽  
Mass Tourism ◽  
Tourist Destinations ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Lag Model ◽  
Per Capita

Tourism authorities in Thailand have consistently pursued profit-seeking mass tourism, resulting in the detriment of the natural resources in major tourist destinations. In response, sustainable tourism projects centered on preserving the environment have been established but neglect the financial needs of tour operators. The objective of this study was to investigate the determinants of tourist expenditure per capita in Thailand using a dataset consisting of 31 countries from 2010 to 2017. The analysis was based on an autoregressive distributed lag model (ARDL) and used a panel estimated generalized least square (ELGS). Generating such knowledge is essential for tourist authorities to develop profitable and sustainable tourism projects in tourist destinations whose natural resources have been affected by profit-seeking tourism. The tourism expenditure per capita is positively affected by word of mouth, income, and the rising prices in other major tourist destinations in Asia. However, it was negatively affected by relative levels of price and corruption. Sustainable tourism projects can be used to develop activities that will help distinguish Thailand from other tourism destinations in Asia. However, in implementing these sustainable tourism initiatives, the mark-up should be minimized to keep tourist prices in Thailand competitive.

scholarly journals Examining Eurozone Crisis and Unemployment Relationship Using Var Models

2013 ◽  
Vol 60 (2) ◽  
pp. 85-92
Author(s):  
Dimitrios Dapontas
Keyword(s):  
Government Spending ◽  
Eurozone Crisis ◽  
Var Models ◽  
Monthly Data ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Negative Effect ◽  
Lag Model ◽  
The Relationship

Abstract This work examines the relationship between the Eurozone crisis and unemployment. We deploy distributed lag model using two binary (Crisis and crisis in another country) along with three (Government spending to GDP, Labor freedom, and urbanization) variables working as a long term factors applied on a six countries set (Cyprus, Greece, Ireland, Italy, Portugal and Spain respectively) spanning the period January1995-May 2012 in order to explain the unemployment change using VAR models on monthly data in contrast to longer frequency analyses. This innovative approach is determining the optimal lag length between unemployment and crises determining the time between turbulence and its effect to unemployment. The results show that optimal lag varies among two and eight months. Two variables seem to have negative effect on unemployment (Government spending to GDP, labor freedom) and one positive (urbanization).

Asymmetric Impact of Institutional Quality on Environmental Degradation: Evidence of the Environmental Kuznets Curve

2021 ◽  
Vol 13 (22) ◽  
pp. 12507
Author(s):  
Farrah Dina Abd Razak ◽  
Norlin Khalid ◽  
Mohd Helmi Ali
Keyword(s):  
Financial Development ◽  
Environmental Degradation ◽  
Environmental Kuznets Curve ◽  
Energy Use ◽  
Institutional Quality ◽  
Kuznets Curve ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Lag Model ◽  
New Guidelines

This paper aims to discover the asymmetry impacts and co-integration between gross domestic product, financial development, energy use and environmental degradation by featuring institutional quality covering the Malaysia economy during the period from 1984 until 2017 using a nonlinear auto-regressive distributed lag model. The results confirm the existence of the Environmental Kuznets Curve hypothesis for both linear and nonlinear analyses, thus verifying the relevance of symmetric and asymmetric EKC hypotheses for Malaysia. Further, this study verifies the attributes of financial development and institutional quality that mitigates the concern on CO2 emissions, but contradicting results were produced on energy use. The implication of this finding provides new guidelines for Malaysia authorities to consider the asymmetries in formulating environment-related policies to maintain environmental quality and achieve their sustainable development goals.

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