Price Expectations and Consumption under Deflation: Evidence from Japanese Household Survey Data
Bibliographic record
Abstract
The Japanese economy has experienced price deflation since the mid-1990s. Despite the importance of overcoming deflation, there has been little recent research on price expectations in Japan. This paper takes advantage of an original and rich quarterly household-level data set from the “Kokumin Seikatsu Monitors” to estimate average price expectations, examine the factors that affect price expectations, and examine how changes in price expectations have affected household consumption. Our estimates indicate that average price expectations ranged from minus 0.2 to zero percent in 2001 and 2002. However, there was an increase to 1 percent in the first quarter of 2003, followed by a decline to 0.2 percent in the second quarter, and a steady increase toward 0.8 percent by the first quarter of 2004. Price expectations depend on current price movements and lagged expectations. A series of quantitative easing monetary policies were not very effective in changing the price expectations, since the policy announcements caused revision of price expectations only for a small portion, i.e., 5-10% of people surveyed. The jump observed in the first quarter of 2003 was a reaction to the outbreak of the Iraq war. Our study also confirms that deflationary expectations discourage household consumption, mainly durable consumption, by delaying the timing of purchases, suggesting that the deflationary expectations should be upwardly revised to restore a vital Japanese economy.
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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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".