The evolution of U.S. monetary policy: 2000–2007

A vector autoregression with time-varying parameters is used to characterize changes in Federal Reserve policy that occurred from 2000 through 2007 and describe how they affected the performance of the U.S. economy. Declining coefficients in the model׳s estimated policy rule point to a shift in the Fed׳s emphasis away from stabilizing inflation over this period. More importantly, however, the Fed held the federal funds rate persistently below the values prescribed by this rule. Under this more discretionary policy, inflation overshot its target and the funds rate followed a path reminiscent of the “stop-go” pattern that characterized Fed behavior prior to 1979.     

A decomposition of trends in U.S. consumer expenditures on communications and travel: 1984–2002

This paper offers a conceptual and partly empirical decomposition of the trends in U.S. consumer expenditures on five communications and nine transportation subcategories between 1984 and 2002. We find that inflation nearly always increases unit prices. Income effects are positive for all categories, meaning that these are all normal goods, not inferior ones. We speculate that taste changes have contributed to increasing expenditures in most categories, with the exception of out-of-town lodging, the public transit component of the public transportation category, and the old communication media categories of postage and reading. We suggest that production and technological changes have led to decreased unit prices in most categories. In the private vehicle operations categories, technological improvements dominate, so that expenditure shares have been decreasing despite increasing demand. Conversely, in the new media categories, taste changes dominate, so that expenditure shares are increasing despite technological improvements which lower prices. The decomposition explored here enhances our understanding of these important expenditure categories, and provides a useful methodology with which to examine trends in other categories as well.     

The puzzling effects of monetary policy in VARs: Invalid identification or missing information?

Standard vector autoregressions (VARs) often find puzzling effects of monetary policy shocks. Is this due to an invalid (recursive) identification scheme, or because the underlying small‐scale VAR neglects important information? I employ factor methods and external instruments to answer this question and provide evidence that the root cause is missing information. In particular, while a recursively identified dynamic factor model yields conventional monetary policy effects across the board, a small‐scale VAR identified via external instruments does not. Importantly, the discrepancy between both models largely disappears once the information set of the VAR is augmented via factors. This finding is comforting news for the recent monetary literature. Two leading empirical advances with different underlying assumptions—namely external instruments (applied to a factor‐augmented VAR) and dynamic factor models (identified recursively)—find very similar effects of monetary policy shocks, cross‐verifying each other.     

The impact of government intervention on the stabilization of domestic financial markets and on U.S. banks’ asset composition

The 2007–2009 financial crisis that evolved from various factors including the housing boom, aggressive lending activity, financial innovation, and increased access to money and capital markets prompted unprecedented U.S. government intervention in the financial sector. We examine changes in banks’ balance sheet composition associated with U.S. government intervention during the crisis. We find that the initial round of quantitative easing positively impacts bank liquidity across all bank samples. Our results show a positive impact of repurchase agreement market rates on bank liquidity for small and medium banks. We conclude that banks have become more liquid in the post-crisis period, especially the larger banks (large and money center banks). We show that real estate loan portfolio exposures have reverted to pre-crisis levels for money center banks and remained flat for all other bank samples.     

The monetary policy strategy of the Bank of England in 2020–21: An assessment

Excessive money creation during the Covid pandemic has resulted in Britain's worst episode of inflation since 1990–91. The backdrop to this failure of monetary policy is the Bank of England's aggregate demand/aggregate supply framework together with the Monetary Policy Committee's neglect of broad money. An alternative way to operate monetary policy is urgently needed. A significantly improved monetary policy outcome could be achieved by shifting from trying to steer the economy using interest rates and quantitative easing or quantitative tightening to reliance on the relative stability of income velocity (the ratio of nominal GDP to broad money) as a means of managing aggregate demand.     

The impact of the economic cycle on fatal injuries. The case of UK 1971–2007

The aim of this paper is to investigate the effect of the economic cycle on workplace accidents. In particular, the effect of the usual factors of the economic cycle (GDP per capita, Unemployment) is examined along with the effect of working hours (to account for flexible employment) on fatal injuries (to exclude the effect of under-reporting data) for the period 1971?C2007 in UK. Detailed multiple regression analysis is applied, which indicates a controversial and inelastic relation of GDP per capita (negative) and unemployment rate (positive), but also an elastic relation of working hours (positive) to fatal injuries. Further research in data of various countries is proposed before arriving to certain conclusions.     

The effect of investors’ confidence on monetary policy transmission mechanism: A Multivariate GARCH approach

This paper investigates the financial stability’s effect on the monetary policy transmission mechanisms. The correlations between investors’ confidence in the markets, money growth and economic growth are analyzed along with the correlations within their volatilities. Specifically, the heteroskedasticity of the errors is exploited in a Multivariate GARCH framework to obtain endogenously estimated measures of uncertainty. By a two-step estimator, the indirect interplay of money growth and financial markets is highlighted at different time horizons. The results contrast previous literature supportive of the “Great Moderation” as causing the recent financial crisis. Effectively, by accounting for the breaks in volatility series due to structural shifts in monetary policy, a low period of macroeconomic volatility is found not to drive directly low financial stability.     

The difficulty of discerning what’s too tight: Taylor rules and Japanese monetary policy

Observers have relied increasingly on simple reaction functions, such as the Taylor rule, to assess the conduct of monetary policy. Applying this approach to deflationary or near-zero inflation environments is problematic, however, and this paper examines two shortcomings of particular relevance to the Japanese case of the last decade. One is the unusually high degree of uncertainty associated with potential output in an environment of prolonged stagnation and deflation. Consequently, reaction function-based assessments of Japanese monetary policy are so sensitive to the chosen gauge of potential output as to be unreliable. The second shortcoming is the neglect of policy expectations, which become critically important as nominal interest rates approach zero. Using long-term bond yields, we identify five episodes since 1996 characterized by abrupt declines in Japanese inflation expectations. Policies undertaken by the Bank of Japan during this period did little to stabilize expectations, and the August 2000 interest-rate increase appears to have intensified deflationary concerns.     

The moderating effects of traditionality–modernity on the effects of internal labor market beliefs on employee affective commitment and their turnover intention

This study addresses a possible moderating effect of cultural values on the relationship between employee beliefs in human resource management (HRM) practices and employee outcomes. Although employee belief regarding internal labor market (ILM) operation within their firms could be positively related to employee commitment and negatively related to their turnover intention, employee cultural values may act as a contextual variable that strengthens or weakens such relationships. We test the moderating effects of two cultural values, traditionality and modernity in the context of Kenya where the blend of these cultural values is an emerging reality, given the rapid pace of urbanization in recent years coupled with effects of globalization and the digital era. Our study indeed found support for the moderating effects of these cultural values. The association between ILM beliefs and employee affective commitment was found to be greater for employees with more traditional values. In contrast, the relationship was weaker for employees with more modern cultural values. These moderating patterns were also found in the relationship between ILM beliefs and turnover intention. Implications for management research, theory, and practice are discussed.     

The impact of inventory dynamics on long-term stock returns – An empirical investigation of U.S. manufacturing companies

This paper investigates the relationship between the inventory dynamics and long-term stock returns of a large panel of U.S. manufacturing firms over the time period from 1991 to 2010. We propose two measures of inventory dynamics: one metric to assess the fluctuations of quarterly inventories within the year and a second metric to quantify relative year-over-year inventory growth. Our results indicate that within-year inventory volatility (IV) and abnormal year-over-year inventory growth (ABI) are associated with abnormal stock returns. Both metrics cannot be entirely explained by common risk factors. We find that firms with high IV and low ABI have the best long-term stock returns, and that stock performance decreases monotonically with higher ABI values. Our results are robust to various control variables including size, book-to-market value, industry and prior performance. We therefore conclude that changes in inventory levels provide valuable insights into the risks and opportunities faced by a company.     

The impact of fertility policy on the actuarial balance of China’s urban employee basic medical insurance fund–The selective two-child policy vs. the universal two-child policy

This study aims to investigate the impact of the change in China’s fertility policy from its selective two-child policy to a universal two-child policy on the balance of its Urban Employee Basic Medical Insurance (UEBMI) fund. This study uses data obtained from the 2013 and 2015 China General Society Survey to estimate the Poisson model, and then adopts a bisexual Leslie matrix, estimated adjusted coefficients, and an actuarial model to forecast the current balance and accumulated balance of the UEBMI fund under each of the selective two-child and universal two-child policies up to the year 2060. The primary finding of this study is that this change in fertility policy results in the current balance of the UEBMI fund registering a lower deficit and eventually a surplus. Although this policy change cannot prevent the UEBMI from facing bankruptcy, the deficit in terms of the accumulated balance of the UEBMI fund will decline.     

The ‘COVID’ crash of the 2020 U.S. Stock market

We employed the log-periodic power law singularity (LPPLS) methodology to systematically investigate the 2020 stock market crash in the U.S. equities sectors with different levels of total market capitalizations through four major U.S. stock market indexes, including the Wilshire 5000 Total Market index, the S&P 500 index, the S&P MidCap 400 index, and the Russell 2000 index, representing the stocks overall, the large capitalization stocks, the middle capitalization stocks and the small capitalization stocks, respectively. During the 2020 U.S. stock market crash, all four indexes lost more than a third of their values within five weeks, while both the middle capitalization stocks and the small capitalization stocks have suffered much greater losses than the large capitalization stocks and stocks overall. Our results indicate that the price trajectories of these four stock market indexes prior to the 2020 stock market crash have clearly featured the obvious LPPLS bubble pattern and were indeed in a positive bubble regime. Contrary to the popular belief that the 2020 US stock market crash was mainly due to the COVID-19 pandemic, we have shown that COVID merely served as sparks and the 2020 U.S. stock market crash had stemmed from the increasingly systemic instability of the stock market itself. We also performed the complementary post-mortem analysis of the 2020 U.S. stock market crash. Our analyses indicate that the probability density distributions of the critical time for these four indexes are positively skewed; the 2020 U.S. stock market crash originated from a bubble that had begun to form as early as September 2018; and the bubble profiles for stocks with different levels of total market capitalizations have distinct temporal patterns. This study not only sheds new light on the makings of the 2020 U.S. stock market crash but also creates a novel pipeline for future real-time crash detection and mechanism dissection of any financial market and/or economic index.     

The effects of health transformation program on patient–healthcare personnel communication and interaction in Turkey

The structure of the Turkish healthcare system is being reorganized under Health Transformation Program (HTP) and some serious changes in healthcare system are being carried out. Effective healthcare personnel and patient communication has a significant impact on patients’ health behaviors and health outcomes. The purpose of this study is to examine the effect of communication dimensions and HTP on patient and healthcare personnel communication and interaction. The survey was conducted with simple random sampling to 9,089 patients in Turkey. Exploratory factor analysis showed three dimensions of communication which are in positive and strong relationship: building relationship, process of physical examination and ending communication. Hierarchical multiple regression was performed to measure the effect of communication dimensions and HTP to patient–healthcare personnel communication and interaction. According to the first step, communication dimensions have a statistically significant effect on patient–healthcare personnel communication and interaction. Introduction of HTP to hierarchical multiple regression explained additional meaningful variance in patient–healthcare personnel communication and interaction, after controlling communication dimensions. It is revealed that, HTP has an important role on communication and interaction. This study has a macro approach and it is limited with the patients’ point of view.     

Predictability of tail risks of Canada and the U.S. Over a Century: The role of spillovers and oil tail Risks☆

We examine the tail risk spillovers between Canada and U.S. stock markets using over a century data, and also account for the roles of tail risks of other advanced economies (France, Germany, Japan, Italy, Switzerland, and the UK) and oil-market tail risk. We use the “best” tail risk measure obtained from different variants of the Conditional Autoregressive Value at Risk (CAViaR) model developed by Engle and Manganelli (2004) in the predictive model and compare its performance with that of an AR(1) benchmark model. We find strong evidence of risk spillovers between the two stock markets. We find contrasting evidence for the predictability of oil-market tail risk, with positive predictability in case of the net oil exporter and negative in case of the net oil importer. Further results using tail risks of other advanced economies (combined) support possible diversification potential for Canadian stocks in the presence of market risks of advanced economies other than the U.S. Our findings have implications for investors and are robust to various out-of-sample forecast horizons, alternative data frequencies, data splits, and 1% and 5% VaRs.     

Regression evidence of safety-net support in Canada and the U.S., 1893–1992

Using annual deviations between the stock market and accounting valuations of major banks, this paper constructs synthetic century-long time series for the intangible safety-net capital generated by reporting and supervisory policies in Canada and the U.S. The credibility of the modeling exercise that produces these synthetic time series is supported by evidence that, in each country, all sustained surges in the value of estimated safety-net capital correlate in appropriate ways with regulatory events and crisis pressures. We invite others to test the qualitative usefulness of our framework by applying the method to data from other countries.     

The effects of appraisal review content on employees’ reactions and performance

Do appraisal reviews actually change employees’ subsequent performance? To answer this question, longitudinal analyses are required. Dorfman et al. (1986) and Nathan et al. (1991) performed longitudinal studies, to attain contradicting results. Apparently we need additional longitudinal studies. We analysed a data set collected from a Korean petrochemical company, and found that, even though each of the three measures of appraisal review content (i.e. the degree to which, during the appraisal review, (1) employees have opportunity to participate in discussion, (2) goals are clearly set and (3) career issues are discussed) was significantly related to the employees’ reactions to the review, none of them had a positive impact on the subsequent job performance. This result is consistent with the Dorfman et al.’s finding. Possible reasons for our result being different from Nathan et al.’s finding, limitations of our study and further studies required are discussed.     

Decomposing the effects of crowd-wisdom aggregators: The bias–information–noise (BIN) model

Aggregating predictions from multiple judges often yields more accurate predictions than relying on a single judge, which is known as the wisdom-of-the-crowd effect. However, a wide range of aggregation methods are available, which range from one-size-fits-all techniques, such as simple averaging, prediction markets, and Bayesian aggregators, to customized (supervised) techniques that require past performance data, such as weighted averaging. In this study, we applied a wide range of aggregation methods to subjective probability estimates from geopolitical forecasting tournaments. We used the bias–information–noise (BIN) model to disentangle three mechanisms that allow aggregators to improve the accuracy of predictions: reducing bias and noise, and extracting valid information across forecasters. Simple averaging operates almost entirely by reducing noise, whereas more complex techniques such as prediction markets and Bayesian aggregators exploit all three pathways to allow better signal extraction as well as greater noise and bias reduction. Finally, we explored the utility of a BIN approach for the modular construction of aggregators.     

Do mergers and acquisitions improve firms' financial performance? The case of the U.S. generic drug industry

This paper examines the financial performance of all mergers and acquisitions (M&A) involving publicly traded companies that occurred in the U.S. generic drug industry from 1996 to 2017. The control group was chosen using a nearest neighbor matching procedure. Our empirical strategy controls for unobservable firm-specific fixed effects as well M&A fixed effects. Our findings suggest that profit levels do not change significantly following M&As, but total revenues decline after M&As. Firms undergoing an M&A cut operating expenses but not through reduction in labor expenses or number of employees.     

Switch or persevere? The effects of experience and metacognition on persistence decisions

This paper extends the scholarly understanding of entrepreneurial persistence decisions by identifying individual-level constructs that moderate which decision criteria have the most influence on entrepreneurs’ persistence decisions. Prior research demonstrates that contextual factors, such as feedback through adversity and the attractiveness of opportunities in an entrepreneur’s environment, determine whether or not an entrepreneur will persist with their current venture. We contribute to this literature by theoretically proposing and empirically testing how individual differences in entrepreneurial experience, metacognitive experience, and metacognitive knowledge moderate which aspects of environmental information entrepreneurs pay the most attention to when deciding whether or not to persist. We test our proposed model using a conjoint experiment that allows for monitoring actual persistence decisions of 124 entrepreneurs. Results suggest that metacognitive knowledge influences persistence decisions primarily through altering the impact that probability of expected outcomes associated with potential alternatives has on entrepreneurs’ persistence decisions. Furthermore, the results provide evidence that more experienced entrepreneurs weigh financial returns and switching costs more heavily when making persistence decisions.