Analyzing The Effects Of Financial And Housing Wealth On Consumption Using Micro Data

This paper analyzes the existence of “wealth effects” derived from net equity (in the form of housing, financial assets, and total net worth) on consumption. The study uses longitudinal household-level data?from the Panel Study of Income Dynamics (PSID) ?covering about 7,000-9,000 households in the U.S., with the estimations carried over the period 1999-2017. Overall, wealth effects are found to be relatively large and significant for housing wealth, but less so for other types of wealth, including stocks. Furthermore, the analysis shows how these estimated marginal propensities to consume (MPC) from wealth are closely linked to household characteristics, including income and demographic factors. Finally, underlying structural changes in household characteristics point to potentially lower aggregate MPCs from wealth going forward.

In this paper, we examine the phenomenon known as the wealth effect and its impact on consumption. By using quarterly data from the United States economy, we investigate the impact of financial and housing wealth on consumption. With variable selection based on a paper by Matteo Iacoviello, and expanding the sample size by including the periods from the first quarter of 1952 to the last quarter of 2016, we found evidence that shows both financial wealth and housing wealth have an impact on consumption. Although the data specifically shows housing wealth had a higher impact, the final results seemed to be somewhat inconclusive because each method of integration had a slightly different outcome. In our basic model using the OLS method of integration consistently showed housing wealth had a larger impact on consumption, while the results of the ARDL and Co-integration estimates varied. These results are in agreement with some of the literature but do not include some of the micro economic variables that might have made the results more conclusive. Finally, we take a look at some of the implications of the wealth effect and how they go past just an increase in consumption.

Households across Europe are struggling with a double crisis—the worst inflation shock since the World War II and a sudden correction in house prices. There is a rich literature on how housing price cycles affect consumer spending, finding mixed results with a wide range of consumption responses to changes in housing wealth. In this paper, using quarterly data on 20 countries in Europe over the period 1980–2023, we analyze the dynamic relationship between inflation-adjusted housing wealth and consumer spending and obtain statistically significant and economically intuitive results. Household consumption responds positively and swiftly to changes in real house prices and gross disposable income as expected. Using the estimated coefficients, we can deduce that the average quarter-on-quarter decline of -1.96 percent in real house prices in the first quarter of 2023 in Europe could dampen consumer spending by about -0.51 percentage points in real terms on a cumulative basis over a horizon of eight quarters.

This Handbook collects a set of academic and accessible chapters to address three questions: What should real estate economists know about macroeconomics? What should macroeconomists know about real estate? What should readers know about the interaction between real estate and macroeconomics?

To identify and quantify downside risks to housing markets, we apply the house price-at-risk methodology to a sample of 37 cities across the United States and Canada using quarterly data from 1983 to 2018. This paper finds that downside risks to housing markets in the United States have seemingly fallen over the past decade, while having increased in Canada. Supply-side drivers, valuation, household debt, and financial conditions jointly play a key role in forecasting house price risks. In addition, capital flows are found to be significantly associated with future downside risks to major housing markets, but the net effect depends on the type of flows and varies across cities and forecast horizons. Using micro-level data, we identify households vulnerable to potential housing shocks and assess the riskiness of household debt.

The U.S. economy is in the longest expansion in recorded history. Unemployment is at levels not seen since the late 1960s, real wages are rising, and inflationary pressures remain subdued. Economic activity, while still growing above potential, is expected to slow to around 2.6 percent this year and 1.9 percent in 2020.

This global handbook provides an up-to-date and comprehensive overview of shadow banking, or market-based finance as it has been recently coined. Engaging in financial intermediary services outside of normal regulatory parameters, the shadow banking sector was arguably a critical factor in causing the 2007-2009 financial crisis. This volume focuses specifically on shadow banking activities, risk, policy and regulatory issues. It evaluates the nexus between policy design and regulatory output around the world, paying attention to the concept of risk in all its dimensions—the legal, financial, market, economic and monetary perspectives. Particular attention is given to spillover risk, contagion risk and systemic risk and their positioning and relevance in shadow banking activities. Newly introduced and incoming policies are evaluated in detail, as well as how risk is managed, observed and assessed, and how new regulation can potentially create new sources of risk. Volume I concludes with analysis of what will and still needs to happen in the event of another crisis. Proposing innovative suggestions for improvement, including a novel Pigovian tax to tame financial and systemic risks, this handbook is a must-read for professionals and policy-makers within the banking sector, as well as those researching economics and finance.

We provide a comprehensive empirical characterization of the linkages between key macroeconomic and financial variables around business and financial cycles for 21 OECD countries over the period 1960–2007. In particular, we analyze the implications of 122 recessions, 112 (28) credit contraction (crunch) episodes, 114 (28) episodes of house price declines (busts), 234 (58) episodes of equity price declines (busts) and their various overlaps in these countries over the sample period. Our results indicate that interactions between macroeconomic and financial variables can play major roles in determining the severity and duration of recessions. Specifically, we find evidence that recessions associated with credit crunches and house price busts tend to be deeper and longer than other recessions. JEL Classification Numbers: E32; E44; E51; F42