Household Gasoline Demand in Canada
By Adonis Yatchew, J. No. 2001
149 citations recorded by the source corpus.
Subfields: Automotive Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/dfa80e9352374ba0fa0ac20e73375b5b76104053
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
- Iv'an Fern'andez-Val
- M. Ayhan Kose
- Vira Semenova
- Ashley D. Taylor
- Eswar S. Prasad
- Victor Chernozhukov
- Robert B. Noland
- Alexandre Belloni
In Renewable Energy, Sustainability and the Environment
- Lutz Kilian
- Daniel Murphy
- Christiane Baumeister
- Iv'an Fern'andez-Val
- M. Ayhan Kose
- Vira Semenova
- Ashley D. Taylor
- Eswar S. Prasad
Citations in the corpus
- Automobile Fuel Demand: A Critical Assessment of Empirical Methodologies (2007, methodology): “Yatchew and No ( 2001 ) pointed out that the absence of demographics effects in Hausman and Newey’s study and the unavailability of price data in the Schmalensee and Stoker study raised the question whether the inclusion of such data would substantially alter their respective conclusions.”
- Gasoline Demand with Heterogeneity in Household Responses (2010, background): “21 Other studies have found that the number of licensed drivers in a household is a determinant of gasoline demand (Schmalensee and Stoker 1999, and Yatchew and No 2001).”
- Conditional quantile processes based on series or many regressors (2011, methodology): “We use the same data set as in [39], which comes from the National Private Vehicle Use Survey, conducted by Statistics Canada between October 1994 and September 1996.”
- Semiparametric regression models with additive nonparametric components and high dimensional parametric components (2012, background): “Canada An economic study in Yatchew and No (2001), hereafter YN, investigated the household gasoline demand in Canada.”
- Massachusetts Institute of Technology Department of Economics Working Paper Series Conditional Quantile Processes Based on Series or Many Regressors Conditional Quantile Processes Based on Series or Many Regressors (unknown): “Following [39], the covariate vector includes the log of age, a dummy for the top coded value of age, the log of income, a set of dummies for household size, a dummy for urban dwellers, a dummy for young-single (age less than 36 and household size of one), the number of drivers, a dummy for more…”
- THE ROLE OF INVENTORIES AND SPECULATIVE TRADING IN THE GLOBAL MARKET FOR CRUDE OIL (2014, methodology): “…episodes, 29 Schmalensee and Stoker (1999) question the reliability of the price data and the specification used in Hausman and Newey (1995), but Yatchew and No (2001) address those concerns using more detailed Canadian data and…”
- Simultaneous inference for Best Linear Predictor of the Conditional Average Treatment Effect and other structural functions (2017, methodology): “We employ the same selection procedure as in Yatchew and No (2001) and Belloni et al. (2011), focusing on a sample of the households with non-zero licensed drivers, vehicles, and distance driven which leaves us with 5001 observations.”
- Thresholds in the Process of International Financial Integration (2009, methodology): “The residuals from these regressions are then used to estimate the parametric coefficients ! using an OLS regression: 10 See also Yatchew and No (2001) for estimation of a partial linear model with two variables entering the nonparametric expression.”