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International Journal of
            Population Studies                                              Macroeconomic factors and housing dynamics



            (Aoki  et al., 2004) and over 30% of household assets in   and demand within a framework that includes transaction
            the U.S. (Causa et al., 2019). Furthermore, social security   costs and credit constraints. This frictional housing market
            has garnered substantial attention from researchers and   setup is designed to minimize real estate speculation. The
            policymakers due to factors such as population aging,   economy operates under a Pay-As-You-Go (PAYG) system,
            declining fertility rates, and increasing life expectancy.   with households retiring exogenously upon reaching the
            In addition, as the fertility rate continues to decline, the   designated retirement age.
            concerns about the social security shortage encourage   To accurately reflect the U.S. economy, the  model
            policymakers to implement retirement policy reform.   is calibrated to the U.S. Bureau of Economic Analysis
            These situations motivate us to investigate the effects of   (BEA), Bureau of Labor Statistics (BLS), Federal Housing
            these macroeconomic factors on the housing market and   Finance Agency (FHFA), and National Income and
            households’ lifecycle choices.                     Product Accounts (NIPA) data between 1968 and 2018.

              This paper  mainly addresses two questions: (i) how   The  calibration  method  follows  established  practices
            the demographic changes, technological growth, and   in previous literature and is consistent with findings in
            retirement policy reform impact the housing price and   previous empirical analyses. After calibration, we solve the
            individual optimal choices and (ii) how these factors   model numerically using the backward induction method
            influence  the  macroeconomic  variables  such  as gross   and analyze the simulation results. The analysis includes
            domestic product (GDP) and the labor market.       conducting various counterfactual experiments to assess
              This paper aims to tackle these economic inquiries   the  impacts  of demographic  changes and  technological
            through the construction of a comprehensive model,   growth and comparing simulation outcomes across
            which features a two-sector general equilibrium life-  different scenarios.
            cycle  setup  with distinctive  attributes:  an endogenous   The  influence  of  the  housing  market  on  the
            frictional housing market and a flexible labor market.   macroeconomy has long been a subject of intense scrutiny
            The structural model applied in this paper is similar  to   among researchers. For instance, Xu (2013) investigated
            that of Favilukis et al. (2017), which provides a two-sector   the roles of mortgage innovation and interest rates in
            theoretical model with multiple financial assets, and that   driving this increase. There is a consensus that the financial
            of Chen (2010), which solves a life-cycle optimization   market plays a pivotal role in shaping house prices. Ng
            problem with social security reform. Their work mainly   (2015)  explored  the  contributions  of  housing preference
            focused on factors that drive the house price to fluctuate   shocks and monetary policy to house prices. Campbell and
            and individual consumption and savings behaviors.   Hercowitz (2006) focused on the interaction between debt
            Favilukis et al. (2017) mainly examined the effects of the   and the macroeconomy. Developing an incomplete market
            financial market on the housing market. They found that   model, Zhao (2018) examined the impact of housing assets
            the relaxation of financing constraints and decline in the   on retirement choices and consumption among the elderly,
            housing risk premium primarily account for the house   finding that the wealth effect of housing prices decreases
            price boom. This conclusion is consistent with the findings   labor participation and boosts consumption. Other factors
            of Xu (2013) and Liu (2023) that mortgage debt innovation   such as environmental information (Wang and Yao, 2024),
            and low interest rates significantly account for over 50%   health shocks (D’Lima et al., 2021), and market rate (Mast,
            of the increase in house prices. With a focus on the effects   2023) are also examined.
            of social security reform, Chen (2010) found that both   The determinants of social security have attracted
            housing  quantities  and  homeownership  rates  respond   the attention of numerous researchers. French (2005)
            strongly to eliminating social security. Without a social   developed the  first  theoretical model with  endogenous
            security system, household’s financial assets and housing   retirement choice and found that the tax structure of
            assets increase rapidly.                           pensions plays an important role in retirement behavior.
              Specifically, to examine the impacts on macroeconomic   By building a  stochastic overlapping generation  general
            variables such as GDP and the housing market, we   equilibrium model featuring both wage and asset price
            incorporate  two  production  sectors:  the  non-durable   shocks faced by households, Glover et al. (2020) found that
            goods sector and the durable (housing) goods sector. Both   a simulated recession can lead to a huge welfare loss of up
            sectors use Cobb–Douglas production functions, with   to 10% lifetime consumption. The implications of PAYG on
            durable goods production requiring land, labor, and capital   the birth rate and GDP per capita were examined using an
            as inputs. A flexible labor market allows workers to move   overlapping generation model built by Chen and Miyazaki
            freely between the two sectors. In the housing market,   (2022). Cipriani and Pascucci (2020) and Cipriani and
            prices are determined endogenously by aggregate supply   Fioroni (2022) investigated the interactions between


            Volume 11 Issue 1 (2025)                        48                        https://doi.org/10.36922/ijps.3645
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