Technical Manual: Academic Research Methodologies & Models
Academic Research Methods & Models Library
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Empirical Research & Causal Inference
Identification strategies based on observational data for causal inference. Note: Generated regression coefficients, statistical significance, and tables are simulated references for reference only.
Core Identification Strategies
Difference-in-Differences (DID)
A quasi-experimental research design that estimates the causal effect of a treatment by comparing the changes in outcomes over time between a treatment group and a control group.
Applicable Scenarios
Key Features
Note: Automatically architects parallel trends test logic to validate the key identification assumption.
Instrumental Variables (IV / 2SLS)
A method that uses instrumental variables to estimate causal relationships when endogeneity is present, focusing on the logical argument of exclusion restrictions.
Applicable Scenarios
Key Features
Note: Emphasizes the logical demonstration of exclusion restriction - the instrument must affect the outcome only through the endogenous variable.
Regression Discontinuity Design (RDD)
A quasi-experimental design that exploits a cutoff point in an assignment variable to identify causal effects, supporting both sharp and fuzzy designs.
Applicable Scenarios
Key Features
Note: Includes bandwidth sensitivity discussion to address the bias-variance tradeoff.
Event Study Methodology
A standard paradigm in finance for calculating Cumulative Abnormal Returns (CAR) within an event window to measure the impact of specific events.
Applicable Scenarios
Key Features
Note: Calculates CAR to quantify the abnormal returns around specific corporate or economic events.
Synthetic Control Method (SCM)
A method for constructing a counterfactual control group from a weighted combination of unaffected units, suitable for policy evaluation with a single treated unit.
Applicable Scenarios
Key Features
Note: Particularly suitable for evaluating policies affecting a single treatment unit (e.g., a specific country or state).
Advanced Econometrics
Panel Data Fixed Effects (TWFE)
A regression technique that controls for time-invariant unobserved heterogeneity by including entity and time fixed effects.
Applicable Scenarios
Key Features
Note: Supports high-dimensional fixed effects to control for individual and time-invariant characteristics.
Propensity Score Matching (PSM-DID)
Combines matching techniques with difference-in-differences to mitigate sample selection bias by matching treated and control units based on propensity scores.
Applicable Scenarios
Key Features
Note: Effectively addresses sample selection bias when treatment assignment is not random.
Heckman Two-Stage Model
A method specifically for handling self-selection bias through a two-stage procedure that corrects for the non-random sample selection process.
Applicable Scenarios
Key Features
Note: The classic solution for addressing self-selection bias in econometric analysis.
System GMM
Generalized Method of Moments estimator designed for dynamic panel data, addressing reverse causality and persistence issues.
Applicable Scenarios
Key Features
Note: Designed for panels with small time dimensions and potential endogeneity.
Survival Analysis (Cox Model)
A statistical method for analyzing time-to-event data, commonly used in default or exit studies.
Applicable Scenarios
Key Features
Note: Studies the timing of events, particularly useful in finance for default and exit research.
Qualitative & Case Study Research
Methods for answering "How" and "Why" questions in theory-building research.
Methodological Paradigms
Gioia Inductive Concept Development
A systematic approach to building theory from qualitative data that enforces a three-level coding structure: First-Order Concepts → Second-Order Themes → Aggregate Dimensions.
Applicable Scenarios
Key Features
Note: The gold standard for inductive theory development in organizational research.
Eisenhardt Multiple-Case Method
A case study methodology that emphasizes 'replication logic' across cases, generating propositions through cross-case comparison.
Applicable Scenarios
Key Features
Note: Emphasizes replication logic - each case should serve as a distinct experiment.
Langley's Processual Analysis
An approach to analyzing temporal dynamics that uses temporal bracketing to analyze how mechanisms evolve over time.
Applicable Scenarios
Key Features
Note: Useful for understanding how and why processes unfold over time.
Grounded Theory (Strauss & Corbin)
A rigorous coding procedure that ensures theory emerges from data through systematic open, axial, and selective coding.
Applicable Scenarios
Key Features
Note: Ensures that theoretical constructs are grounded in empirical evidence.
Theoretical Lenses
Sensemaking Framework
A framework exploring how individuals or organizations cope with environmental ambiguity through 'meaning construction'.
Applicable Scenarios
Key Features
Note: Explores how people create meaning in ambiguous situations.
Institutional Logics
A perspective analyzing organizational behavior and institutional change under multiple competing institutional logics.
Applicable Scenarios
Key Features
Note: Analyzes how multiple logics (market, family, religion, etc.) shape organizational behavior.
Paradox Theory
A theory focusing on contradictory but coexisting tensions in organizations (e.g., exploration vs. exploitation).
Applicable Scenarios
Key Features
Note: Embraces contradictions as sources of organizational vitality and innovation.
Actor-Network Theory (ANT)
A theory emphasizing the symmetric agency of humans and non-humans (technology, algorithms) in networks.
Applicable Scenarios
Key Features
Note: Rejects the distinction between human and non-human actors in explaining social phenomena.
Analytical Modeling
Formal mathematical models for revealing deep economic logic.
Information Economics & Contract Theory
Principal-Agent Model
The classic principal-agent framework addressing moral hazard and incentive contract design when information is asymmetric.
Applicable Scenarios
Key Features
Note: The foundational framework for analyzing relationships with asymmetric information.
Signaling Game (Spence)
Analyzes how parties with private information send 'signals' to reveal their type, incurring signaling costs.
Applicable Scenarios
Key Features
Note: Explains how education serves as a signal of productivity in labor markets.
Screening Model (Stiglitz)
Analyzes how the uninformed party designs 'menu contracts' to screen different types of participants.
Applicable Scenarios
Key Features
Note: The less-informed party initiates the contract design to elicit private information.
Mechanism Design
Studies how to design institutions to achieve specific social goals under information constraints.
Applicable Scenarios
Key Features
Note: The 'reverse game theory' - designing games rather than solving them.
Market Competition & Strategic Games
Cournot Competition
A model of oligopoly where firms compete on quantity, reaching Nash equilibrium in quantities.
Applicable Scenarios
Key Features
Note: The classic model of competition when firms set quantities simultaneously.
Bertrand Competition
A model where firms compete on price, typically leading to perfect competition outcomes with homogeneous products.
Applicable Scenarios
Key Features
Note: With homogeneous products, Bertrand competition yields socially efficient outcomes.
Hotelling Spatial Competition
Analyzes product differentiation and spatial competition strategies in linear markets.
Applicable Scenarios
Key Features
Note: Explains why similar products (e.g., gas stations) cluster together.
Stackelberg Leadership
Studies asymmetric games where firms move sequentially, with the leader moving first.
Applicable Scenarios
Key Features
Note: The leader can achieve higher profits by committing to output first.
Nash Bargaining
Models the logic of surplus division in cooperative games, deriving the famous Nash bargaining solution.
Applicable Scenarios
Key Features
Note: Provides a normative solution to the bargaining problem.
Macro, Finance & Organizational Foundations
Diamond-Dybvig Model
The foundational model of bank runs and liquidity creation, explaining why banks exist.
Applicable Scenarios
Key Features
Note: Explains the fundamental economic rationale for banking institutions.
Search and Matching (DMP)
The Diamond-Mortensen-Pissarides model analyzing search and matching in frictional markets.
Applicable Scenarios
Key Features
Note: The Nobel-winning framework for analyzing labor market frictions.
Property Rights Theory (GHM)
Studies the allocation of residual control rights under incomplete contracts.
Applicable Scenarios
Key Features
Note: Explains the boundary of the firm and ownership structures.
Pecking Order Theory
Models financing hierarchy choices under asymmetric information - firms prefer internal to external financing.
Applicable Scenarios
Key Features
Note: Explains why firms prioritize retained earnings over debt and equity.
Intellectual Property & User Rights
Understanding the ownership and rights framework of platform-generated content.
The Soul of Thought
Every paper generated by our platform has its core research question, logical setup, variable relationships, and theoretical perspective originating from the user's input.
- Research questions are provided by users
- Variable selection reflects user creativity
- Theoretical logic stems from user insight
- AI serves as a high-level formalization assistant
Copyright Ownership
The platform serves only as a technical assistant to formalize thoughts. All generated manuscript content has full copyright and intellectual property belonging to the user.
Platform serves as a 'thought formalization tool' only
Risk Disclosure & Disclaimer
Important information about the use of AI-generated research content.
Empirical Simulation Notice
Regression coefficients and statistical results in the empirical section are simulation-based generated from academic logic. Direct submission of simulated results as real data is strictly prohibited. Users must verify the logical framework provided by the platform using their own real data in statistical software.
AI Hallucination Risk
Generative AI may produce factual errors or false citations. Before formal submission, users must manually verify all references, data logic, and mathematical proofs in the manuscript.
Academic Integrity Responsibility
Users are responsible for ensuring the final work meets ethical requirements and plagiarism policies of relevant academic institutions. The platform does not assume any legal or academic responsibility arising from user violations.
Explore More Research Methods
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All Research Methods
Explore detailed pages for each research methodology
Empirical Research & Causal Inference
Qualitative & Case Study Research
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