Monitoring the Housing Market Cycle in Colombia: A Dynamic Factor Approach

Borradores de Economia
Number: 
1359
Published: 
Authors:
Nicol Valeria Rodríguez-Rodrígueza,
Sebastián Quintero-Uribea,
Johanna Barbosa-Buitragoa
Classification JEL: 
R21, R31, C38, E32, O54
Keywords: 
Housing market, Cycle, DFM, Sectorial analysis, Colombia
Abstract: 

The housing market is closely related to household welfare, economic activity, the labor market, and the financial system. This paper develops a timely and comprehensive tool to monitor the sector: the Housing Market Conditions Indicator (IEMV, for its spanish acronym). The IEMV is a monthly index that characterizes the real housing cycle, in terms of quantities, in Colombia between 2004 and early 2026. The indicator is estimated using a dynamic factor model (DFM), drawing on 30 supply and demand variables, each transformed to its cyclical component. The results show that the IEMV captures major sector booms and adjustments. Furthermore, it identifies three distinct cycles with average durations of six to seven years. The indicator also exhibits significant correlations with the housing prices and the aggregate economic activity. These findings support its utility as both a coincident and a potentially leading indicator of the sector's performance.

The most recent

Daniel Herrera-Araujo, Jorge Florez-Acosta
Luis Armando Galvis-Aponte, Adriana Marcela Rivera-Zárate

Approach

This paper analyzes the performance of Colombia’s housing market between 2004 and early 2026. Its main objective is to develop a tool that provides a timely assessment of the sector’s current conditions. To this end, it proposes the Housing Market Conditions Indicator (HMCI). The HMCI is a monthly index that summarizes information from 30 economic variables related to housing supply and demand. These include home sales, housing project launches, housing starts, building permits, housing loans, subsidies, inventories, employment in the construction sector, and builders’ expectations. The methodology condenses the information shared across these indicators into a single measure that captures the common signal embedded in the data. As a result, it provides a clearer reading of overall housing market conditions and their evolution over time.

Contribution

The housing market plays a central role in the economy, as it affects households, employment, credit, investment, and economic growth. For many families, housing is their main asset. For the economy as a whole, residential construction drives demand for industrial supplies, financial services, real estate activities, and labor. Understanding the housing cycle therefore not only helps track a specific sector, but also provides broader signals about the Colombian economy.

A deterioration in housing market conditions may anticipate lower investment, weaker credit demand, or reduced activity in related sectors. Conversely, a recovery may signal improved financial conditions, stronger confidence, and greater economic dynamism. The paper’s main contribution is the provision of a monthly indicator with nationwide coverage to monitor Colombia’s housing market. In addition, the analysis focuses on market quantities, namely actual decisions regarding housing construction, purchases, financing, and supply, rather than on price developments.

The Housing Market Conditions Indicator (HMCI) provides a comprehensive and timely measure for monitoring developments in Colombia’s housing market and for complementing the analysis of the country’s economic cycle. 

Results

The results show that the HMCI successfully identifies the main phases of Colombia’s housing market over the past two decades. The indicator captures the boom of 2006 and 2007, the adjustment that followed the global financial crisis, the recovery between 2013 and 2015, the slowdown from 2016 to 2019, the severe shock caused by the pandemic, and the temporary boom observed in 2021 and 2022.

The indicator also points to a renewed downturn from the second half of 2022 through early 2024. This phase was associated with higher financing costs, an adjustment in households’ disposable income, a reduction in subsidies, and the depletion of household savings. Since 2025, a gradual recovery has emerged, supported by stronger sales, housing project launches, and improved expectations, although some construction-related indicators still exhibit lags.

The indicator also shows a positive relationship with housing prices and with key measures of economic activity, such as GDP, investment, and industrial production. Overall, the HMCI is presented as a useful tool for tracking housing market developments in real time and for complementing analyses of the Colombian economy’s business cycle.