Abstract

Abstract The aggregate saving indicator does not directly reflect changes in individuals’ microeconomic behavior. From the official statistics’ point of view, households choose between spending, which generates additional income and consumption in the economy, and setting money aside, which does not. Formally, households may not (if the authors disregard housing investment) choose to save, because the aggregate saving statistical indicator is a residual concept defined as the ensuing difference between aggregate disposable income and consumption. It measures the change in net worth, which, in a closed economy, may only be generated by the production of capital goods and an increase in inventories. Using an agent-based model, the authors show that shocks unrelated to structural changes in households’ behavior may generate positively correlated fluctuations in the aggregate saving rate, productivity growth and lending. Meanwhile, a genuine increase in the average individual propensity to save is not necessarily associated with a higher aggregate saving rate.

Highlights

  • Saving plays many different roles in economics

  • The observed correlation between financial and aggregate saving rates is meant to provide empirical confirmation of this proposition. We believe that such an interpretation has the potential to be misleading and call for caution in using aggregate national accounts to analyze microeconomic developments

  • Aggregate saving indicator that is reported in official statistics does not directly measure individuals’ average propensity to save from their income

Read more

Summary

Introduction

Saving plays many different roles in economics. Depending on the school of thought, its fluctuations may be regarded as a core driver of long-term economic development, an indication of aggregate demand cycles or a key source of global imbalances. We believe that the application of such economic intuition is seriously impeded by the apparent conceptual discrepancy between aggregate saving measures and individuals’ average propensity to save out of their income. In comprehensive surveys Deaton (1992), Browning and Lusardi (1996) and Attanasio (1999) point out that only under demanding assumptions may the aggregate version of the consumption/saving indicators match the microeconomic form and stress that micro-founded theories should be tested using micro data We contribute to this discussion by employing an agent-based model.

Measurement of aggregate saving
Model set-up
Shop entry
Credit market
Labor market
Production
Goods market
Price and wage setting
Other events
Calibration
Results of the experiments
Experiment 1: an increase in credit availability
Experiment 2: increase in the individual propensity to save
Conclusions

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.