Skip to main content

Ghana Input-Output Matrix Analysis

Below is very preliminary analysis of economic sector linkages in Ghana using the 2015 Social Accounting Matrix (SAM) produced by the Ghana Statistical Service (GSS). I estimate that 17 out of 56 sectors in the SAM have strong backward and forward linkages. These are in the light green part of the figure below. 

Backward linkages measure the inter-connections among input suppliers for an economic sector. If a sector increases its output, there will be increased demand from other sectors whose goods and factors of production are used as inputs for the production of the sector. Forward linkages measure the inter-connections among buyers for the output produced by an economic sector. That is, additional output of products is available to be used as inputs by other sectors for their own production and consumption. 

In general, agricultural sectors largely fall in the light red part of the plot below signaling low linkages to other sectors. Hover over each dot to see more information including sector name and linkage indexes.  

Comments

Popular posts from this blog

Mapping the Blast Radius: What Happens When the "World's Factory" Stops?

In global trade, "efficiency" often masks "fragility." We know that China is central to the global electronics supply chain, but how central? And if that node were to go dark, who would feel the shockwaves first? To answer this, I moved beyond standard trade statistics and built a network simulation using the OECD Inter-Country Input-Output (ICIO) Tables (2023 Edition) . This dataset maps the DNA of the global economy, tracking every dollar of input across 66 countries and 45 industries. 1. The Blast Radius: Tracing the Contagion I treated the global economy as a directed graph and simulated a total supply shock to Chinese Electronics (CHN_C26) . By tracing the flow of inputs across three tiers of buyers, I visualized the "Blast Radius" of this disruption. Fig 1: The Supply Chain Cascade. The shock originates in China (Red) and immediately hits "Tier 1" assembly hubs (Dark Blue) before cascading to global consumers...

Turkey's Informality Tax

A general-equilibrium model of Turkey's dual labour market says the cost of taxing formal work doesn't show up where we usually look for it. The bottomline: Making Turkey's transfer to the unemployed a third more generous raises unemployment from 8.6% to 9.2% . That is the honest cost, and it is not large. How you pay for it matters more than whether you pay for it. Funded by payroll taxes, the poor end up 0.6% worse off than before the transfer was raised — the policy defeats itself. Funded by VAT, they are 0.5% better off . The reason is not unemployment, which is nearly identical under both. It is informality . A higher payroll tax pushes formal jobs into the unregistered sector, where the wage is 43% lower and nothing is taxed. Turkey is not on the wrong side of the payroll-tax Laffer curve — revenue peaks around 53%, well above today's ~37.5% wedge. But the marginal cost...

Modeling Core PCE inflation: A dual approach

Today's release of the August 2025 Personal Consumption Expenditures (PCE) inflation data drew widespread media attention, with coverage highlighting both the persistence of inflation and its implications for Federal Reserve policy. Across outlets, analysts pointed to resilient consumer spending and income growth as signs of underlying economic strength, even as inflation remains above the Fed's 2% target. The consensus among media reports is that while inflation is not worsening, its stubbornness continues to challenge policymakers navigating a softening labor market and evolving rate expectations. To provide deeper insights into inflation's trajectory, I've developed a forecasting framework that combines two econometric approaches — ARIMA time series modeling and Phillips Curve analysis—to predict Core PCE inflation. This analysis presents a unique opportunity to validate my forecasting methodology against eight months of 2025 data. ...