Subtopic Deep Dive

Aggregate Demand and Structural Change
Research Guide

What is Aggregate Demand and Structural Change?

Aggregate Demand and Structural Change examines how demand-side forces drive sectoral reallocations, productivity shifts, and long-term growth patterns across economies.

This subtopic integrates aggregate demand fluctuations with structural transformations like industrialization and Baumol's cost disease. Researchers use input-output tables and shift-share methods to analyze advanced and emerging economies (Blanchard and Quah, 1988; 1335 citations). Over 10 key papers from 1983-2020 explore demand disturbances' permanent effects on output and employment.

Curated Papers

Key Challenges

Why It Matters

Demand-driven structural change challenges supply-side growth models, informing policies on unemployment hysteresis and crisis propagation (Blanchard and Summers, 1986; 1345 citations). Empirical findings from U.S. data link information age productivity gains to demand regimes (Jorgenson and Stiroh, 2000; 1484 citations). Policymakers apply these insights to monetary rules and financial crisis responses (Rotemberg and Woodford, 1997; 1897 citations; Bernanke, 1983; 2140 citations).

Key Research Challenges

Separating Demand from Supply Shocks

Distinguishing permanent supply disturbances from temporary demand shocks requires vector autoregression models on GNP and unemployment data (Blanchard and Quah, 1988; 1335 citations). Misidentification biases long-run growth estimates. Shift-share analysis struggles with unobserved heterogeneity in sectoral data.

Modeling Hysteresis Effects

Persistent unemployment responses to demand shocks imply hysteresis, complicating Phillips curve dynamics (Blanchard and Summers, 1986; 1345 citations). Sticky information models better capture these than sticky prices (Mankiw and Reis, 2002; 2282 citations). Empirical validation needs multi-country panels.

Linking Demand to Sectoral Shifts

Aggregate demand regimes interact with structural changes like rising markups and market power (De Loecker et al., 2020; 1706 citations). Input-output tables reveal propagation but overlook firm-level dynamics. Endogenous innovation complicates demand-driven reallocations (Grossman and Helpman, 1994; 1479 citations).

Essential Papers

Sticky Information versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve

N. Gregory Mankiw, Ricardo Reis · 2002 · The Quarterly Journal of Economics · 2.3K citations

This paper examines a model of dynamic price adjustment based on the assumption that information disseminates slowly throughout the population. Compared with the commonly used sticky-price model, t...

Non-Monetary Effects of the Financial Crisis in the Propagation of the Great Depression

Ben Bernanke · 1983 · 2.1K citations

This paper examines the effects of the financial crisis of the 1930s on the path of aggregate output during that period.Our approach is complementary to that of Friedman and Schwartz, who emphasize...

An Optimization-Based Econometric Framework for the Evaluation of Monetary Policy

Julio J. Rotemberg, Michael Woodford · 1997 · NBER Macroeconomics Annual · 1.9K citations

This paper considers a simple quantitative model of output, interest rate and inflation determination in the United States, and uses it to evaluate alternative rules by which the Fed may set intere...

The Rise of Market Power and the Macroeconomic Implications*

Jan De Loecker, Jan Eeckhout, Gabriel Unger · 2020 · The Quarterly Journal of Economics · 1.7K citations

Abstract We document the evolution of market power based on firm-level data for the U.S. economy since 1955. We measure both markups and profitability. In 1980, aggregate markups start to rise from...

Finance and Growth: Theory and Evidence

Ross Levine · 2004 · 1.6K citations

This paper reviews, appraises, and critiques theoretical and empirical research on the connections between the operation of the financial system and economic growth.While subject to ample qualifica...

Raising the Speed Limit: U.S. Economic Growth in the Information Age

Dale W. Jorgenson, Kevin J. Stiroh · 2000 · Brookings Papers on Economic Activity · 1.5K citations

Raising the Speed Limit:U.S. Economic Growth in the Information Age Dale W. Jorgenson and Kevin J. Stiroh The continued strength and vitality of the U.S. economy continue to astonish economic forec...

Endogenous Innovation in the Theory of Growth

Gene M. Grossman, Elhanan Helpman · 1994 · The Journal of Economic Perspectives · 1.5K citations

This paper makes the case that purposive, profit-seeking investments in knowledge play a critical role in the long-run growth process. First, the authors review the implications of neoclassical gro...

Reading Guide

Foundational Papers

Start with Blanchard and Quah (1988; 1335 citations) for VAR demand-supply separation, then Mankiw and Reis (2002; 2282 citations) for sticky information dynamics, followed by Bernanke (1983; 2140 citations) on crisis propagation.

Recent Advances

De Loecker et al. (2020; 1706 citations) documents markup rises' macro effects; Jorgenson and Stiroh (2000; 1484 citations) analyzes information age structural shifts.

Core Methods

Vector autoregressions for shock decomposition (Blanchard and Quah, 1988). Sticky information models (Mankiw and Reis, 2002). Shift-share and input-output analysis for sectoral change (Jorgenson and Stiroh, 2000).

How PapersFlow Helps You Research Aggregate Demand and Structural Change

Discover & Search

Research Agent uses citationGraph on Blanchard and Quah (1988) to map demand-supply decomposition papers, then findSimilarPapers uncovers hysteresis studies like Blanchard and Summers (1986). exaSearch queries 'aggregate demand structural change input-output' for 50+ recent works. searchPapers filters by citations >1000 in Economic Theory and Policy.

Analyze & Verify

Analysis Agent runs readPaperContent on Mankiw and Reis (2002) to extract sticky information equations, then verifyResponse with CoVe checks model fit against Blanchard-Quah VAR results. runPythonAnalysis replicates shift-share decompositions from Jorgenson and Stiroh (2000) using pandas on uploaded IO tables, graded by GRADE for statistical significance.

Synthesize & Write

Synthesis Agent detects gaps in demand-hysteresis literature via contradiction flagging across Bernanke (1983) and De Loecker et al. (2020), then Writing Agent uses latexEditText and latexSyncCitations to draft policy sections. latexCompile generates a full report with exportMermaid diagrams of demand propagation flows.

Use Cases

"Replicate Blanchard-Quah VAR decomposition on recent US data for demand shocks"

Research Agent → searchPapers → Analysis Agent → runPythonAnalysis (pandas, statsmodels VAR) → matplotlib plot of impulse responses with GRADE verification.

"Write LaTeX appendix modeling sticky info vs structural change"

Synthesis Agent → gap detection → Writing Agent → latexEditText + latexSyncCitations (Mankiw-Reis 2002) → latexCompile → PDF with equations.

"Find GitHub repos implementing shift-share for aggregate demand studies"

Research Agent → paperExtractUrls (Jorgenson-Stiroh 2000) → Code Discovery → paperFindGithubRepo → githubRepoInspect → exportCsv of code snippets.

Automated Workflows

Deep Research workflow scans 50+ papers via citationGraph from Blanchard and Quah (1988), producing structured review of demand-structural links with CoVe checkpoints. DeepScan's 7-step analysis verifies hysteresis claims in Blanchard and Summers (1986) using runPythonAnalysis on unemployment series. Theorizer generates new hypotheses linking rising markups (De Loecker et al., 2020) to demand-driven deindustrialization.

Try Doxa for Aggregate Demand and Structural Change Research

Frequently Asked Questions

What defines Aggregate Demand and Structural Change?

It links demand regimes to sectoral shifts using input-output and shift-share methods (Blanchard and Quah, 1988). Key focus: permanent output effects from demand disturbances.

What are core methods?

VAR models separate demand-supply shocks (Blanchard and Quah, 1988; 1335 citations). Sticky information Phillips curves model persistence (Mankiw and Reis, 2002; 2282 citations).

What are key papers?

Foundational: Mankiw and Reis (2002; 2282 citations), Bernanke (1983; 2140 citations). Recent: De Loecker et al. (2020; 1706 citations) on markups and macro implications.

What open problems exist?

Integrating firm-level markups with aggregate demand regimes (De Loecker et al., 2020). Modeling demand effects on endogenous innovation across sectors (Grossman and Helpman, 1994).