Sep 2026· Real Estate· Vol 3, pp. 16· 28 references
Housing Market and Economics
Abstract
The period 2018–2026 offers the first opportunity to observe a complete, closed mortgage interest rate cycle in the Czech Republic: rates fell to a historic trough of 1.98% (March 2021), rose to 5.37% (September 2023) and stabilized around 4.5% from 2025. This paper examines whether the relationship between mortgage rates and housing prices is reversible over such a cycle. The analysis draws on the EVAL software (version 2.0), which has continuously collected and evaluated real estate advertising across all Czech municipalities since 2007, combined with Czech National Bank and Czech Statistical Office data; methods include phase-specific logarithmic regressions, Chow tests, asymmetric difference regressions, cross-correlation analysis and a composite affordability indicator, the Mortgage Payment Burden (MPB). The point estimates are asymmetric: rate increases are followed by lower listing volumes within four months and lower prices within seven, whereas rate cuts show no detectable direct effect; the difference between the two responses is, however, not statistically significant at the available sample size, so the asymmetry is suggestive rather than conclusive. The price–rate trajectory forms an open hysteresis loop—at an identical rate of 4.5%, the median price was 35.5% higher after the cycle than during tightening. Adjustment ran through quantities rather than prices; the correction was deepest in cheap peripheral regions, and by April 2026 the national MPB reached 41.2% of the average wage, its historical maximum—a result that survives plausible alternative wage-growth assumptions. The evidence is consistent with monetary policy acting as an effective brake but a weak accelerator of the housing market, although the reduced-form design cannot separate the effect of rates from that of the concurrent macroeconomic shocks.
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
M. Pikkarainen, Jukka Haikara, O. Salo et al.· Empirical Software Engineeri...· 401 citations· ⚡48
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
The results show that the embedded industry has been able to apply agile methods in its development processes and that the appreciation of the agile methods and their individual practices appears to increase once adopted and applied in practice.
O. Salo, P. Abrahamsson· IET Software· 238 citations· ⚡9
Consequences of happiness and unhappiness that are beneficial and detrimental for developers' mental well-being, the software development process, and the produced artifacts are found.
D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al.· Journal of Systems and Softw...· 236 citations· ⚡13
The Mobile-D approach is briefly outlined here and the experiences gained from four case studies are discussed, which helped develop an agile development approach for mobile application development.
P. Abrahamsson, Antti Hanhineva, H. Hulkko et al.· Conference on Object-Oriente...· 225 citations· ⚡18
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