The Impact of Output and Exchange Rate Volatility on Fixed Private Investment: Evidence from Selected G7 Countries
Bibliographic record
Abstract
This paper will take a broad based approach in analyzing the structure of the U.S. economy with a particular emphasis on the disruptive U.S. recession anThis study examines the impact of shocks to exchange rate and output uncertainty (volatility) on real private fixed investment (FI) in Canada, Germany, the United Kingdom, and the United States. The analysis is conducted using vector autoregressive models that contain the price level, real output, the volatility of real output, the real exchange rate, the volatility of the real exchange rate, an interest rate, and FI. The results yield important public policy implications with regard to the impact of output volatility of FI. Our analysis indicates that volatility shocks, measured Over time and across countries, researchers have noted frequent and mostly unexplained gender differences in the levels of support for policies of free or freer trade: women tend to be less favorable toward policies of liberalizing trade than men. Yet, no well substantiated theoretical or empirical account of the gender component of trade attitudes has emerged. Using an economic security explanation based principally on a mobile factors approach, we find that it is not women generally who are more negative toward trade but particularly economically vulnerable women - i.e. women from the scarce labor factor. We utilize recent survey data on individuals' attitudes toward different facets of trade and its effects across three disparate regions to examine this phenomenon empirically. An economic security approach helps to explain the marked differences in attitudes toward trade among lower- and higher-skilled females in developing and developed countries.as output volatility or exchange rate volatility, do not have a significant impact on FI for any country in our study.d financial crisis which began circa 2008. The role of the U.S. government and the implications high levels of fiscal debt have on the projected growth path of the U.S. economy will be the primary focus of the paper. The discussion will show that the U.S. has likely entered a new, much more difficult stage in its history of economic growth. The short to medium term growth potential of the U.S. economy has fallen below the trend level established since WWII. The flexibility of the U.S. economy will help foster the necessary adjustments; however, this new era will force difficult fiscal and monetary policy choices that have different implications for different section of the population. The policy makers must recognize the changing dynamics of the U.S. economy and they must be prudent in drafting policy that establishes a stronger foundation for future growth. Younger generations in particular will need to take notice of the decisions being made and plan accordingly as it relates to their spending, saving and investment habits.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 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 source (direct Gemma or distilled Codex), 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".