Activities per year
Abstract
The technical conversion factor (TCF) is a survey-based estimate of the percentage of carcass weight obtained per unit of live weight. Practitioners and researchers have used it to predict the corresponding price ratio (PR). We use both in-sample regressions and out-of-sample forecasting analysis to test the validity of this approach in case of predicting the price effects of processing livestock in Europe. By regressing the PR on the inverse value of the corresponding TCF for a large panel of European countries and animal types, we find a significant positive relation between these variables, which also has economic value in terms of improving outof-sample forecasting precision. This result is shown to be robust to animal type, year, and country fixed effects. The TCF therefore has predictive value about the corresponding PR.
Original language | English |
---|---|
Pages (from-to) | 163-175 |
Number of pages | 13 |
Journal | Statistika |
Volume | 99 |
Issue number | 2 |
Publication status | Published - 1 Jan 2019 |
Event | IAOS-OECD Conference: Better Statistics for Better Lives - 2, rue André Pascal 75775 Paris Cedex 16, Paris, France Duration: 19 Sep 2018 → 21 Sep 2018 http://www.oecd.org/iaos2018/ |
Keywords
- agriculture
- producer price
- pass-through effect
- carcass weight
- live weight
Fingerprint
Dive into the research topics of 'The informativeness of the technical conversion factor for the price ratio of processing livestock'. Together they form a unique fingerprint.Activities
- 1 Participation in conference
-
IAOS-OECD Conference: Better Statistics for Better Lives
Hong Anh Luu (Participant)
19 Sep 2018Activity: Participating in or organising an event › Participation in conference
Prizes
-
2018 Young Scholars for Better Statistics Award - 2nd Prize Winner
Luu, H. A. (Recipient), 19 Sep 2018
Prize: Prize (including medals and awards)