J Lew Silver
Biographic Data
| ID | 4086143 |
|---|---|
| NAME | J Lew Silver |
| GIVEN NAMES | J Lew |
| FAMILY NAME | Silver |
| SIGNATURE | SILVER J L |
| AFFILIATIONS | University of Alabama |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1986 |
| LATEST PUBLICATION YEAR | 1998 |
| H-INDEX | 1 |
Economic and Demographic Determinants of Canadian Households' Use of and Spending on Alcohol
This article examines the determinants of Canadian household expenditures on alcoholic beverages using double‐hurdle models to distinguish between the decision to consume and the decision of how much to consume. Linearity of the alcohol expenditurefunction and thus the applicability of a normality assumption to its errors is examined using Box‐Cox and inverse hyperbolic sine (IHS) transformations. As important policy decisions affecting alcohol u…
Hummer', Software accompanying `Econometrics
`Hummer', Software accompanying `Econometrics: An Introduction' Get access Tim Barmby Tim Barmby Loughborough University Search for other works by this author on: Oxford Academic Google Scholar The Economic Journal, Volume 99, Issue 397, 1 September 1989, Pages 946–947, https://doi.org/10.2307/2233805 Published: 01 September 1989
Two Results Useful for Implementing Litterman's Procedure for Interpolating a Time Series
Litterman (1983) recently suggested a modification to the rameter to be accurate. Litterman's notation is followed Chow and Lin (1971) and Fernandez (1981) procedures for throughout. interpolating monthly data from an observed quarterly time series. ~riefl~ stated, the Litterman proceduri involves obtaining generalized least squares (GLS) forecasts of the monthly 2. THE LITTERMAN PROCEDURE IN BRIEF values of interest-the GLS estimates determined …
Economic and Demographic Determinants of Canadian Households' Use of and Spending on Alcohol
This article examines the determinants of Canadian household expenditures on alcoholic beverages using double‐hurdle models to distinguish between the decision to consume and the decision of how much to consume. Linearity of the alcohol expenditurefunction and thus the applicability of a normality assumption to its errors is examined using Box‐Cox and inverse hyperbolic sine (IHS) transformations. As important policy decisions affecting alcohol u…
Two Results Useful for Implementing Litterman's Procedure for Interpolating a Time Series
Litterman (1983) recently suggested a modification to the rameter to be accurate. Litterman's notation is followed Chow and Lin (1971) and Fernandez (1981) procedures for throughout. interpolating monthly data from an observed quarterly time series. ~riefl~ stated, the Litterman proceduri involves obtaining generalized least squares (GLS) forecasts of the monthly 2. THE LITTERMAN PROCEDURE IN BRIEF values of interest-the GLS estimates determined …
Hummer', Software accompanying `Econometrics
`Hummer', Software accompanying `Econometrics: An Introduction' Get access Tim Barmby Tim Barmby Loughborough University Search for other works by this author on: Oxford Academic Google Scholar The Economic Journal, Volume 99, Issue 397, 1 September 1989, Pages 946–947, https://doi.org/10.2307/2233805 Published: 01 September 1989
Economic and Demographic Determinants of Canadian Households' Use of and Spending on Alcohol
This article examines the determinants of Canadian household expenditures on alcoholic beverages using double‐hurdle models to distinguish between the decision to consume and the decision of how much to consume. Linearity of the alcohol expenditurefunction and thus the applicability of a normality assumption to its errors is examined using Box‐Cox and inverse hyperbolic sine (IHS) transformations. As important policy decisions affecting alcohol u…
Econometrics (3 works) · Computer Science (2 works) · Economics (2 works) · Mathematics (2 works) · Alcohol (1 work) · Alcohol consumption (1 work) · Autoregressive model (1 work) · Black–Litterman model (1 work) · Complex Systems and Time Series Analysis (1 work) · Consumer Market Behavior and Pricing (1 work)