US oil consumption,oil prices,and the macroeconomy

Since the oil price shock of 1973–74, researchers have waged an intense debate regarding the connection between the U.S. energy sector and national income. Studies examining the relationship between oil prices, oil consumption, and real output have produced remarkably mixed results. In particular, the two most widely cited investigations by Darby and Hamilton come to dramatically different conclusions concerning the effect of oil shocks on economic activity. To date, however, studies of this issue have been either correlation based and thus void of causality inferences, have used overly restrictive bivariate causality techniques, or covered periods that exclude major oil price disruptions. This paper analyzes a quarterly multivariate VAR model to investigate the existence and direction of causality between oil prices, oil consumption, real output, and several other key macroeconomic policy variables. Among the key findings is that oil price shocks are not a major cause of U.S. business cycles. Moreover, our findings also suggest that both oil prices and real output cause significant changes in oil consumption without feedback. These results support the contention that a systematic U.S. conservation policy would not significantly impair real economic activity.     

Oil prices and economic activity: evidence for G-7 economies based on a wavelet approach

This study examines the relationship between oil prices and economic activity in the G-7 economies during the period 1960M1–2014M07 using a wavelet approach. The results show significant differences in the relationship between these two variables depending on the frequencies. Furthermore, we find that oil price shocks affect economic activity at low frequencies (long run) in all G-7 countries, while the effect at high frequencies (short run) is limited to a few countries.     

Oil and the macroeconomy: using wavelets to analyze old issues

We use (cross) wavelet analysis to decompose the time–frequency effects of oil price changes on the macroeconomy. We argue that the relation between oil prices and industrial production is not clear-cut. There are periods and frequencies where the causality runs from one variable to the other and vice-versa, justifying some instability in the empirical evidence about the macroeconomic effects of oil price shocks. We also show that the volatility of both the inflation rate and the industrial output growth rate started to decrease in the decades of 1950 and 1960.     

Oil prices and economic downturns: the case of Spain

We address the macroeconomic effects of an oil price shock in Spain. We apply a vector autoregression model (VAR) analysis to quarterly data for the Spanish economy since 1986, to elucidate the effects of variations in the oil price on the economy, considering the three main causes of disruptions in the oil markets: oil supply shocks, oil demand shocks and oil-specific (precautionary) demand shocks. We conclude that the effects in Spain strongly depend on the type of shock: the consumer price index (CPI) has mainly been influenced by oil demand shocks; output has only reacted to oil supply shocks; and monetary policy has mainly reacted after precautionary shocks. Second-round effects caused by the behaviour of nominal wages have not been found. Additionally, we discuss two facts: the ability of firms to increase markups in a context of rising demand and the procyclical role of monetary policy when faced with oil demand shocks.     

Stock prices, inflation and output: Evidence from wavelet analysis

The negative relationship between real stock return and inflation puzzled many as it contradicts conventional Fisherian wisdom. Fama [Fama, E.F. (1981), “Stock returns, real activity, inflation and money”, American Economic Review, 71(September), 545–564.] gave an explanation for this negative relationship with two propositions that links real stock return and inflation through real output. This study revisits Fama's hypothesis for India in the post-liberalized period from a developing country perspective. Examining this relationship on the time-scale decomposition from a wavelet multi-resolution analysis suggests that Fama's hypothesis holds only for the long time scale and remains as a puzzle for the other time scales.     

Rental prices in Germany: A comparison between migrants and natives

This paper deals with the question of whether migrants pay a rent premium for apartments of comparable quality and neighborhood characteristics. We use a two-step selection-correction model augmented by a control function to account for nonrandom neighborhood choice. The estimation sample is a uniquely assembled panel comprising the Socio-Economic Panel (SOEP), information on household and apartment characteristics, as well as georeferenced data describing neighborhood quality. Our estimates reveal that people with migration backgrounds are not penalized in the German local rental market in terms of higher rental payments.     

Revisiting global economic activity and crude oil prices: A wavelet analysis

Based on the wavelet analysis approach, this paper firstly examines the dynamic relationship between global economic activity (proxied by the Kilian economic index) and crude oil prices in both time- and frequency-domains. Our empirical results demonstrate significant correlation between crude oil prices and global economic activity at high frequencies (in the short run) during the entire sample period; however, the co-movement between the two at low frequencies (in the long run) is weaker and exists only during certain proportions of the sample period. We also document evidence that global economic activity and oil price are positively correlated, with dynamic lead-lag relationships across time. Our findings are robust to alternative choices of oil price indexes and controlling for other confounding factors such as geopolitical risk, armed conflicts, economic policy uncertainty and equity market uncertainty. The current study provides valuable implications for oil market investors based on the information of global economic situation and its dynamic relationships with oil prices.     

Market power and markups: Malign markers for the Australian macroeconomy

Research on markups by Hambur (Treasury Working Paper, 2021) shows that markups in Australia have increased since the turn of the century. This is consistent with findings for other advanced economies over the same period. Australia's most digitally intensive firms increased markups the most. Australian industries with the greatest increase in concentration also recorded the greatest increases in markups. This aligns with other economic evidence around declining dynamism. Over recent decades, market concentration has risen, the start-up rate has dropped, and the share of workers starting a new job has declined. Evidence on markups is consistent with a lack of dynamism in the Australian economy.     

Oil prices and stock returns: nonlinear links across sectors

We present evidence of an asymmetric relationship between oil prices and stock returns. The two regime multivariate Markov switching vector autoregressive (MSVAR) model allow us to capture the state shifts in the relationship between regional stock markets and sectors. Results suggest that oil price risk is significantly priced in the sample used. The impact is asymmetric with respect to market phases, and regimes have been associated with world economic, social and political events. Our study also suggests asymmetric responses of sector stock returns to oil price changes and different transmission impacts depending on the sector analyzed. There is a high causality from oil to sectors like Industrials and Oil & Gas. Companies inside the Utilities sector were more able to hedge against oil price increases between 2007 and 2012. Historical crisis events between 1992–1998 and 2003–2007 do not seem to have affected the relationship between oil and sector stock returns, given the higher probability of remaining smoother. For all sectors there seems to be a turn back to stability from 2012 onwards. Finally, investors gain more through portfolio diversification benefits built across, rather than within sectors.     

Oil prices and UK industry-level stock returns

In this article, we study whether the behaviour of oil prices can be used as a reliable predictor for the disaggregated industry-level stock market indices. We find strong evidence for the relevance of changes in oil price as a predictor for the returns of UK industry portfolios, while this relevance is heterogeneous across industries. In an out-of-sample framework, we find that both the contemporaneous and lagged oil price changes do predict UK industry stock market returns. The predictive power is more transient for the latter case, and mostly appearing after allowing for time variation in the relative performance. In addition, we find some evidence of asymmetry in the oil–stock price relationships.     

Oil price and exchange rates: A wavelet based analysis for India

In this paper, we explore linear and nonlinear Granger causalities between oil price and the real effective exchange rate of the Indian currency, known as ‘rupee’. First, we apply the standard time domain approach, but fail to find any causal relationship. So, we decompose the two series at various scales of resolution using the wavelet methodology in an effort to revisit the relationships among the decompose series on a scale by scale basis. We also use a battery of non-linear causality tests in the time and the frequency domain. We uncover linear and nonlinear causal relationships between the oil price and the real effective exchange rate of Indian rupee at higher time scales (lower frequency). Although we do not find causal relationship at the lower time scales, there is evidence of causality at higher time scales only.     

The yield curve and the macroeconomy: Evidence from Turkey

This paper contributes to the literature on the relationship between the yield curve and macroeconomic variables by focusing on an emerging market case: Turkey. The most important result of the paper is that the relationship between the yield curve and macroeconomic variables is significantly affected by the change in monetary policy which is associated with the implementation of inflation targeting (IT) regime. While before the IT regime the yield curve is affected to some extent by macroeconomic variables, after the IT regime, it is mainly driven by macroeconomic variables. We also find that central bank has gained ability to affect the entire yield curve with the IT regime. The other important result is that in addition to inflation and real activities, the exchange rates also play an important role in the yield curve dynamics in Turkey.     

The impact of the market transparency unit for fuels on gasoline prices in Germany

Increasing horizontal as well as vertical transparency in oligopolistic markets can be advantageous for consumers, due to reduced search costs. However, market transparency can also affect incentives to deviate from collusive agreements and the punishment by rival firms in the market. Using a panel of 27 European countries, we analyse the impact of increased market transparency via the introduction of a market transparency unit for fuels in Germany. Applying a difference-in-differences approach, we find evidence that both gasoline and diesel prices have increased. While consumers may be better off using a retail price app for fuels, gas stations are also able to compare prices at almost no cost.     

Labour market discrimination and the macroeconomy

We measure the discriminatory ethnic and gender wage gaps in Georgia. Gender wage discrimination is larger than the ethnic wage discrimination. We use the estimated gaps in a general‐to‐specific vector autoregression framework to test for Granger causality between discrimination and growth, and estimate the long‐run effects of each variable on the other. Granger causality is found to be bidirectional, but it is only the net long‐run effect of discrimination on growth that is a large and highly significant negative effect. In the long‐run, a 10% increase in ethnic (gender) discrimination reduces economic growth by 3%–4% (8%–10%). Additionally, ethnic and gender wage differentials are found to be counter‐cyclical.     

Asset prices and real investment in West Germany: Evidence from vector autoregressive models

A four-variable, a five-variable and a six-variable vector autoregression (VAR) is used in the study to test empirically the linkages among changes in money, outstanding public bonds, interest rates, output, real asset prices, and real investment expenditures in West Germany. After estimating Sims-type and Hsiao-type vector autoregressions the VAR models are the converted to their moving-average representations and the innovation accounting technique is used to examine the impact of changes in asset prices and output on investment behaviour.The paper is part of the project Tobin's Q and Industry Investment in West Germany and Great Britain. I am grateful to two anonymous referees for helpful suggestions, and to the Deutsche Forschungsgemeinschaft for financial support under DFG grant No. FU 178/1-1.     

Real estate markets and the macroeconomy: A dynamic coherence framework

This paper analyzes the dynamic interactions between real estate markets, in the US and the UK and their macroeconomic environments. We apply a new approach based on a dynamic coherence function (DCF) to study these interactions bringing together different real estate markets (the securitized market, the commercial market and the residential market). The results suggest that there is a common trend that drives the different real estate markets in the UK and the US, particularly in the long run, since they have a similar shape of the DCF. We also find that, in the US, wealth and housing expenditure channels are very conductive during real estate crises. However, in the UK, only the wealth effect is significant as a transmission channel during real estate market downturns. In addition, real estate markets in the UK and the US react differently to institutional shocks. This brings some insights on the conduct of monetary policy in order to avoid disturbances in real estate markets.