Liberty Street Economics

October 9, 2024

A New Indicator of Labor Market Tightness for Predicting Wage Inflation

Job candidates standing in line, waiting for their turn to be interviewed for a new position at a corporate company. Shallow field of view.

A key question in economic policy is how labor market tightness affects wage inflation and ultimately prices. In this post, we highlight the importance of two measures of tightness in determining wage growth: the quits rate, and vacancies per searcher (V/S)—where searchers include both employed and non-employed job seekers. Amongst a broad set of indicators, we find that these two measures are independently the most strongly correlated with wage inflation. We construct a new index, called the Heise-Pearce-Weber (HPW) Tightness Index, which is a composite of quits and vacancies per searcher, and show that it performs best of all in explaining U.S. wage growth, including over the COVID pandemic and recovery. 

October 7, 2024

What Do Climate Risk Indices Measure?

Photo of a melting iceberg with water trickling down splashing into a water body.

As interest in understanding the economic impacts of climate change grows, the climate economics and finance literature has developed a number of indices to quantify climate risks. Various approaches have been employed, utilizing firm-level emissions data, financial market data (from equity and derivatives markets), or textual data. Focusing on the latter approach, we conduct descriptive analyses of six text-based climate risk indices from published or well-cited papers. In this blog post, we highlight the differences and commonalities across these indices.

Posted at 7:00 am in Climate Change | Permalink
October 2, 2024

Exposure to Generative AI and Expectations About Inequality

Photo: young woman with cell phone with illustration that has a chatbot logo that says can I help you?

With the rise of generative AI (genAI) tools such as ChatGPT, many worry about the tools’ potential displacement effects in the labor market and the implications for income inequality. In supplemental questions to the February 2024 Survey of Consumer Expectations (SCE), we asked a representative sample of U.S. residents about their experience with genAI tools. We find that relatively few people have used genAI, but that those who have used it have a bleaker outlook on its impacts on jobs and future inequality.

October 1, 2024

Are Nonbank Financial Institutions Systemic?

Photo: dominoes spilling on a blue background.

Recent events have heightened awareness of systemic risk stemming from nonbank financial sectors. For example, during the COVID-19 pandemic, liquidity demand from nonbank financial entities caused a “dash for cash” in financial markets that required government support. In this post, we provide a quantitative assessment of systemic risk in the nonbank sectors. Even though these sectors have heterogeneous business models, ranging from insurance to trading and asset management, we find that their systemic risk has common variation, and this commonality has increased over time. Moreover, nonbank sectors tend to become more systemic when banking sector systemic risk increases.

September 30, 2024

The Central Banking Beauty Contest

Photo: Wooden figurine pawn standing on wooden cube above other wooden figurines against minimal blue background. The concepts of competition, success, leadership, winning.

Expectations can play a significant role in driving economic outcomes, with central banks factoring market sentiment into policy decisions and market participants forming their own assumptions about monetary policy. But how well do central banks understand the expectations of market participants—and vice versa? Our model, developed in a recent paper, features a dynamic game between (i) a monetary authority that cannot commit to an inflation target and (ii) a set of market participants that understand the incentives created by that credibility problem. In this post, we describe the game, a type of Keynesian beauty contest: its main novelty is that each side attempts, with varying degrees of accuracy, to forecast the other’s beliefs, resulting in new findings regarding the levels and trajectories of inflation.

Posted at 7:00 am in Monetary Policy | Permalink
September 25, 2024

Flood Risk Outside Flood Zones — A Look at Mortgage Lending in Risky Areas

Decorative image: Aerial view river that flooded the city and houses. Flooded houses in the water.

In support of the National Flood Insurance Program (NFIP), the Federal Emergency Management Agency (FEMA) creates flood maps that indicate areas with high flood risk, where mortgage applicants must buy flood insurance. The effects of flood insurance mandates were discussed in detail in a prior blog series. In 2021 alone, more than $200 billion worth of mortgages were originated in areas covered by a flood map. However, these maps are discrete, whereas the underlying flood risk may be continuous, and they are sometimes outdated. As a result, official flood maps may not fully capture the true flood risk an area faces. In this post, we make use of unique property-level mortgage data and find that in 2021, mortgages worth over $600 billion were originated in areas with high flood risk but no flood map. We examine what types of lenders are aware of this “unmapped” flood risk and how they adjust their lending practices. We find that—on average—lenders are more reluctant to lend in these unmapped yet risky regions. Those that do, such as nonbanks, are more aggressive at securitizing and selling off risky loans.

Posted at 7:00 am in Banks, Climate Change | Permalink
September 24, 2024

End‑of‑Month Liquidity in the Treasury Market

Decorative Image: Portion of a calendar focusing on the 31st with a blue pushpin image

Trading activity in benchmark U.S. Treasury securities now concentrates on the last trading day of the month. Moreover, this stepped-up activity is associated with lower transaction costs, as shown by a smaller price impact of trades. We conjecture that increased turn-of-month portfolio rebalancing by passive investment funds that manage relative to fixed-income indices helps explain these patterns.

Posted at 7:00 am in Financial Markets, Liquidity, Treasury | Permalink
September 23, 2024

Has Treasury Market Liquidity Improved in 2024?

Decorative image: Ripple of water over dollar bills

Standard metrics point to an improvement in Treasury market liquidity in 2024 to levels last seen before the start of the current monetary policy tightening cycle. Volatility has also trended down, consistent with the improved liquidity. While at least one market functioning metric has worsened in recent months, that measure is an indirect gauge of market liquidity and suggests a level of current functioning that is far better than at the peak seen during the global financial crisis (GFC).

Posted at 7:00 am in Financial Markets, Treasury | Permalink
September 20, 2024

The New York Fed DSGE Model Forecast—September 2024

decorative photo of line and bar chart over data

This post presents an update of the economic forecasts generated by the Federal Reserve Bank of New York’s dynamic stochastic general equilibrium (DSGE) model. We describe very briefly our forecast and its change since June 2024. As usual, we wish to remind our readers that the DSGE model forecast is not an official New York Fed forecast, but only an input to the Research staff’s overall forecasting process. For more information about the model and variables discussed here, see our DSGE model Q & A.

Posted at 9:00 am in DSGE | Permalink
September 4, 2024

AI and the Labor Market: Will Firms Hire, Fire, or Retrain?

Decorative Image: Engineers programming automated robot during checking the robot coding.

The rapid rise in Artificial Intelligence (AI) has the potential to dramatically change the labor market, and indeed possibly even the nature of work itself. However, how firms are adjusting their workforces to accommodate this emerging technology is not yet clear. Our August regional business surveys asked manufacturing and service firms special topical questions about their use of AI, and how it is changing their workforces. Most firms that report expected AI use in the next six months plan to retrain their workforces, with far fewer reporting adjustments to planned headcounts.

Posted at 8:30 am in Labor Market, Regional Analysis | Permalink
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Liberty Street Economics features insight and analysis from New York Fed economists working at the intersection of research and policy. Launched in 2011, the blog takes its name from the Bank’s headquarters at 33 Liberty Street in Manhattan’s Financial District.

The editors are Michael Fleming, Andrew Haughwout, Thomas Klitgaard, and Asani Sarkar, all economists in the Bank’s Research Group.

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