Time Series Characteristics of Canada’s Beyond GDP Indicators
Bibliographic record
Abstract
Abstract This paper investigates the time series properties of three Beyond-Gross Domestic Product (BGDP) measures in Canada, namely, gross national disposable income (GNDI), human development index (HDI), and index of economic freedom (IEF), along with Gross Domestic Product (GDP). GDP is the most used metric for measuring economic growth and is susceptible to influence by numerous factors beyond the value of production measured by GDP. BGDP measures have been suggested in the literature as alternative indicators that can capture economic progress in a more holistic way (Kimmerer, 2020). This paper generates and evaluates the descriptive statistics of GDP and BGDP indicators. To evaluate the potential existence of a long run relationship between GDP and BGDP indices, we performed Augmented Dickey Fuller stationarity and Johansen cointegration tests. The results demonstrate that per capita GDP is cointegrated with the BGDP indicators. Furthermore, this study shows for the first time in the literature that BGDP measures are cointegrated when paired with each other. The paper contributes to the literature by highlighting the time series properties of BGDP indicators in Canada. This insight facilitates understanding the behavior of BGDP measures, thereby further enhancing the use of these measures for econometric studies and policy making. Keywords: Economic growth, Beyond-GDP measures, Disposable income, Human development, Economic freedom, Cointegration.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".