International capital flows
Bibliographic record
Abstract
This thesis uses modern macroeconomic modeling techniques and panel data econometrics to quantitatively measure the determinants of financial globalization and its e↵ects on advanced and developing economies. The first two chapters of this thesis provide the starting point for the quantitative analysis of international gross capital flows and valuation e↵ects between two asymmetric countries and it serves policymakers to quantify these matters in an diaphanous manner. In the first chapter, I construct a novel two-country DSGE model with endogenous portfolio choice to study the role of structural asymmetries in explaining the size and composition of capital flows between emerging and advanced economies. In the second chapter, we calibrate an extension to the previous model in order to discuss the potential determinants of the large increase in Canadian Net Foreign Assets with the US observed after 2012. The last two chapters of this thesis provide an econometric analysis which uses empirical data at the world level to quantitatively measure economic integration determinants and its e↵ects. In the third chapter, we examine the link between economic globalization and spatial inequality in a panel of 142 countries over the period 1992-2012 using instrumental variable techniques. In the fourth chapter, I provide results to show how the Lucas Paradox has turned even more pronounced during the Great Recession than in the previous decades.
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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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".