Background
In economics, the concept of time can fundamentally alter the structure and analysis of models. “Discrete time” refers to breaking down time into distinct intervals, typically labeled as t = 0, 1, 2, 3, and so forth. Within each interval or period, a sequence of events is captured, making it easier to analyze or predict economic behaviors and dynamics in a step-by-step manner.
Historical Context
The usage of discrete time in economic modeling has its roots in numerous areas of study, including game theory, control theory, and operational research. Its rigorous implementation allows economists to work on a period-by-period basis, facilitating practical and computational simplicity when building and solving dynamic economic systems.
Definitions and Concepts
Discrete time involves representing time variables as a sequence of distinct points or intervals. Each period is denoted as t, with t + 1 signaling the subsequent period. The behavior or changes within these intervals are often described by difference equations, which differ notably from continuous models that use differential equations to describe changes continuously over time.
Difference Equations: Equations that express the relationship between the values of a variable in consecutive periods, portraying how one period’s outcome leads into the next period’s conditions.
Major Analytical Frameworks
Classical Economics
Classical economics often deals with long-run states and static equilibria, using differential rather than difference equations. However, discrete models can be useful for examining short-run dynamic processes and realistic time-based simulations.
Neoclassical Economics
Neoclassical economics implements discrete-time models in growth theory to explore how economies evolve over time due to capital accumulation, technological progress, and changes in labor. The Solow Growth Model, for example, benefits from discrete interval analysis.
Keynesian Economics
Discrete-time models help implement multipliers and accelerators within income and expenditure frameworks, allowing for detailed observation of macroeconomic fluctuations over delineated time periods.
Marxian Economics
Marxian analysts might use discrete-time to dissect cycles of capital accumulation and crises, understanding how periodicical changes affect the capitalist system’s dynamism.
Institutional Economics
Institutional economics can use discrete-time frameworks to study how institutions evolve and respond over set time periods, enabling the examination of rule-based progression and regression within economies.
Behavioral Economics
Periods in discrete time can correlate with real-life time-based experiments where behaviors and decision-making processes are assessed in groups and over intervals.
Post-Keynesian Economics
Post-Keynesian frameworks readily adapt discrete-time to model phenomena like the circuit theory of money, understanding iterative financial flows and credit expansions in reflexive cycles.
Austrian Economics
Discrete-time models assist Austrian economists when studying entrepreneurial cycles and inter-temporal decision making in decentralized economic frameworks.
Development Economics
Prime conditions allow for monitoring stages of growth, development interventions, and policy implications over periodic assessments.
Monetarism
Discrete intervals are essential in the analysis of policy impacts, especially regarding sequential interest rates and in understanding the lagged effects of monetary policy.
Comparative Analysis
Compared to continuous time, the discrete-time framework provides fewer technical complexities and can be more illustrative and easier for real-world application for period-based models. It’s especially advantageous where data availability is periodic, such as quarterly or annual financial reports.
Case Studies
Examples include balanced and unbalanced growth models, business cycle theories, and specific policy impact assessments, where discrete sampling of economic conditions enriches the understanding and solutions within these domain areas.
Suggested Books for Further Studies
- “Recursive Methods in Economic Dynamics” by Stokey, Lucas, and Prescott
- “Dynamic Macroeconomic Theory” by Thomas J. Sargent
- “Introduction to Dynamic Systems” by Dacorro Vallez
Related Terms with Definitions
- Continuous Time: A model of time that treats it as a continuous variable represented by differential equations.
- Difference Equations: Mathematical equations that describe the change in a variable between subsequent periods in discrete-time models.
- Economic Models: Abstract representations of economic processes used to predict futures, optimize decisions, analyze strategies, and study systemic behaviors.
