Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Population Growth00:57

Population Growth

25.2K
Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
25.2K
Aging01:26

Aging

51
Aging is a complex biological phenomenon influenced by various processes that affect cellular and systemic functions. Several prominent theories attempt to explain its mechanisms, highlighting cellular limitations, oxidative damage, and hormonal changes as central factors in aging.
Cellular Clock Theory
The cellular clock theory posits that the human lifespan is closely tied to the finite capacity of cells to divide, a phenomenon governed by telomeres, which are protective caps at the ends of...
51
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

395
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
395
Actuarial Approach01:20

Actuarial Approach

78
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
78
Homeostatic Imbalance01:10

Homeostatic Imbalance

22.9K
Homeostasis is the maintenance of a stable internal environment within the body, which is crucial for the proper functioning of cells, tissues, organs, and organ systems. The body has various control mechanisms that work together to regulate various physiological parameters such as temperature, blood pressure, pH balance, and fluid balance, to name a few. These control mechanisms are based on feedback loops that can be either positive or negative.
However, sometimes these feedback loops fail,...
22.9K
Dynamic Equilibrium02:20

Dynamic Equilibrium

51.6K
A reversible chemical reaction represents a chemical process that proceeds in both forward (left to right) and reverse (right to left) directions. When the rates of the forward and reverse reactions are equal, the concentrations of the reactant and product species remain constant over time and the system is at equilibrium. A special double arrow is used to emphasize the reversible nature of the reaction. The relative concentrations of reactants and products in equilibrium systems vary greatly;...
51.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same journal

Trap tales: The influence of red alder stand conditions and forest fragmentation on family-level beetle bycatch diversity.

PloS one·2026
Same journal

MamNet-PT: A Mamba-enhanced hybrid architecture with selective state-space modeling for uncertainty-aware brain tumor segmentation.

PloS one·2026
Same journal

Multicenter evaluation of BACT-Info. and an infection algorithm using Urine Flow Cytometry among clinically diagnosed UTI patients in Indonesia.

PloS one·2026
Same journal

Cross-cultural adaptation and psychometric properties study of Prolonged Grief Disorder Questionnaire (PG-12-R) for caregivers of terminal cancer patients, Thai version.

PloS one·2026
Same journal

Design and in silico validation of donor DNA for RNA-guided recombinase-mediated knockout of mstnb gene in Labeo rohita.

PloS one·2026
Same journal

ViT-MultiRAGNet: A scalable and reliable retrieval-augmented Vision Transformer framework for memory-guided feature fusion multi-modal mammogram classification.

PloS one·2026

Related Experiment Video

Updated: Jul 3, 2025

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

6.3K

Cointegrations in house price dynamics and ageing population risks.

William M Cheung1

  • 1Waseda Business School, Faculty of Commerce, Waseda University, Tokyo, Japan.

Plos One
|February 12, 2024
PubMed
Summary

Rural house prices are key to understanding ageing populations, with deviations predicting future prices and migration. This finding is crucial for macroprudential policies in ageing societies.

Area of Science:

  • Economics
  • Demography
  • Housing Market Analysis

Background:

  • Rural areas face rapid population ageing, challenging traditional life cycle housing demand theories.
  • Rural house prices are increasing faster than urban areas, contrary to expectations for ageing populations.
  • Existing literature has overlooked the relationship between rural housing dynamics and ageing demographics.

Purpose of the Study:

  • To investigate the relationship between ageing population dynamics and rural housing market risk.
  • To explain why rural house prices rise faster than urban areas despite ageing populations.
  • To develop an empirical framework for analyzing rural housing and demographic trends.

Main Methods:

  • Introduction of a flexible, empirical cointegration-based framework.

More Related Videos

Methods to Study Changes in Inherent Protein Aggregation with Age in Caenorhabditis elegans
11:57

Methods to Study Changes in Inherent Protein Aggregation with Age in Caenorhabditis elegans

Published on: November 26, 2017

8.6K
Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model
08:46

Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model

Published on: September 29, 2011

15.6K

Related Experiment Videos

Last Updated: Jul 3, 2025

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

6.3K
Methods to Study Changes in Inherent Protein Aggregation with Age in Caenorhabditis elegans
11:57

Methods to Study Changes in Inherent Protein Aggregation with Age in Caenorhabditis elegans

Published on: November 26, 2017

8.6K
Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model
08:46

Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model

Published on: September 29, 2011

15.6K
  • Analysis of short-term deviations of house prices from cointegration restrictions.
  • Comparative analysis between rural and urban housing markets.
  • Main Results:

    • Short-term house price deviations from cointegration restrictions strongly predict future rural house prices and migration (1-4 years ahead).
    • This predictive power is specific to rural areas and is not observed in urban markets or when cointegration restrictions are ignored.
    • Rural house prices are identified as the critical factor in understanding this cointegration restriction.

    Conclusions:

    • Cointegration restrictions offer crucial insights into rural housing markets and ageing populations.
    • Macroprudential policies incorporating these cointegration restrictions can support rural development and reverse population decline.
    • Understanding long-run ageing risks in rural housing markets through cointegration is vital for policy formulation.