The volatility of Australian traded goods’ prices

It is generally accepted that the Australian economy is continually subject to unanticipated shocks, particularly, unexpected swings in the prices of Australia's internationally- traded goods. This article empirically investigates the nature and extent of volatility in import and export prices faced by the Australian production sector. It estimates multivariate GARCH models of the stochastic processes generating the prices of imports and exports, and of important components of exports and imports. This article proposes an index of volatility, which is used to provide a summary measure of the extent of volatility in a multivariate context. The overall conclusion is that the price growth rates for Australia's traded goods exhibit considerable time variation in volatility and that these price growth rates are highly and positively correlated with each other.     

Is the housing allowance shifted to rental prices?

This paper deals with the incidence of housing subsidies, which we analyze using Finnish panel data. The main data set includes 50,000 households that received housing allowances during the period 2000–2008. In addition, we utilize repeated cross-sections of all Finnish households for 1989–2008, the annual sample exceeding 10,000. Estimation results suggest that a part of the subsidies will indeed go into rental prices. A conservative estimate of the size of the shift is one-third, but it is certainly possible that the number is as high as 50 %. On the other hand, the subsidy seems to have increased housing demand more than the subsidy-induced income effect would have implied, which is in accordance with the goals of the subsidy program. Our results seem to be consistent with other studies, which have also indicated relatively large rent effects. If this is indeed the case, we are advised to reconsider the need for reforming the system of housing subsidies, at least with respect to the share of costs that remains on households’ own accounts and the implicit indexation of the system.     

Can a decline in search cost increase prices?

This paper provides a new explanation of why a decline in consumers’ price search cost may not lead to lower prices. In a duopoly with price competition, I show that when some consumers are captive to one firm, there may be a non‐monotonic relationship between search cost and market power; firms may charge high prices with higher probability and the average price charged may be higher when consumers’ price search cost falls below a critical level. Furthermore, when firms have asymmetric captive segments, expected prices charged by each firm may move in opposite directions as search cost declines.     

Does an economically active population matter in housing prices?

This article examines the link between the population structure and housing prices. We use a panel of 23 countries from 1976 to 2013 in our empirical analysis. We find statistically significant impacts of the proportion of the economically active population aged 15–64 to the total population on housing-price growth. Our study supports a policy for stable population growth to moderate housing-price growth and economic cycles.     

Why firms set different export prices? Evidence from Spain

Using firm-level export data for the 2010–2014 period, we investigate the variation of export prices across and within Spanish manufacturing firms. We find that more productive firms set higher export prices. However, this result is not robust to controlling for other firm-level characteristics and alternative productivity measures. We show that firms set higher export prices in more distant markets and in destinations with high GDP per capita, and lower export prices in large and low-competition markets. These latter results suggest that firms adjust the quality of their products to destination characteristics.     

Did monetary or technology shocks move euro area stock prices?

Using a Bayesian vector autoregressive (VAR) model, I investigate the impact of monetary and technology shocks on the euro area stock market. I find an important role for technology surprise shocks, but not monetary shocks, in explaining variations in real stock prices. Specifically, the pronounced boom?Cbust cycle of 1995?C2003 is largely due to technology surprise shocks. The identification method allows me to study the effects of technology news shocks. The responses are consistent with the idea that news on technology improvements has an immediate impact on stock prices. These findings are robust to several modelling choices, including the productivity measure, the specification of the VAR model, and the identifying restrictions.     

Do commercial real estate prices have predictive content for GDP?

Using a uniquely compiled database concerning rental prices of commercial real estates, which are property of the largest broker in the Netherlands, we examine whether these prices have predictive value for quarterly economic growth. In contrast to related studies, we document that the mean price contains no relevant information, whereas other properties of the price distributions have. We show that these distributions can be described by mixtures of two distributions, reflecting low-end and high-end price segments. Our main findings are that higher economic growth is predictable from more new buildings being rented, more variation in the price levels and a larger size of the low-price segment, while lower economic growth emerges when the differences in prices between high-end and low-end segments increase and when the average price level in the low-price segment increases.     

How do firms adjust their prices in Turkey? Micro-level evidence

This article investigates the pricing behaviour of Turkish firms over the period 1988–2006 on the basis of firm-level micro data. The duration of prices is found to be 3.9 months on average. There is no clear heterogeneity across main groupings in the frequency of price changes, but more dependence on imported goods reduces price stickiness. Price decreases are less frequent than price increases, indicating downward rigidity in prices. There is evidence in favour of both time and state-dependent price setting behaviours. Further, there is a low degree of synchronization of price changes across firms, whereas price increases tend to be more synchronized than price decreases. Ordered probit models show that price adjustments depend on the type of the shock: the pass-through of a change in the cost is faster than changing demand. Besides, estimated probabilities of price adjustments with 5-years rolling windows reveal that inflation targeting has succeeded in bringing down the probability of price increases, whereas downward price rigidity has not weakened yet.     

Exchange rate pass-through into German import prices – a disaggregated perspective

This study analyses the exchange rate pass-through into German import prices based on disaggregated data taken on a monthly basis between 1995 and 2012. Our main contribution is twofold: firstly, we employ various time-series techniques to analyse data for different product categories, and also cointegration techniques to carefully distinguish between short-run and long-run pass-through coefficients. Secondly, in a panel data approach we estimate time-varying pass-through coefficients and explain their development with regard to various macroeconomic factors. Our results show that long-run pass-through is only partly observable and incomplete, whereas short-run pass-through shows a more unique character, although heterogeneity across product groups does exist. We are also able to identify several macroeconomic factors that determine changes in the degree of pass-through, which is especially relevant for policymakers.     

Time–frequency relationship between US output with commodity and asset prices

Commodity and asset prices have a well-documented effect on economic growth as manifested through various channels. At the same time, the business cycle influences the commodity and asset prices. Whereas empirical evidence on the effect of commodity and asset prices on the long-run economic growth is ambiguous, most of the previous researches highlight a positive correlation in the short run. The aim of this article is to disentangle the short- and long-run co-movements between US historical business cycles and commodity and asset prices over the period 1859–2013. For this purpose, we use a time–frequency approach and we test the historical influence of oil, gold, housing and stock prices over the output growth. In contrast to other studies, we control for the effect of other prices and monetary conditions, using the wavelet partial coherency. In line with the previous works, we discover that co-movements between economic growth and commodity and assets prices manifest especially in the short run. We also find that stock returns and housing prices have a more powerful effect on the US economic growth rate than the oil and gold prices. The long-run co-movements are documented especially around the World War II. Finally, when controlling for the influence of the interest rate, inflation and other commodity and asset prices, co-movements become weaker in the short run. In general, the oil and housing prices lead the GDP growth, the US output leads the gold prices, while there is no clear causality direction between business cycle and stock prices.     

Do market prices aggregate information about macroeconomic uncertainty (or risk)?

This article examines several economic variables that represent either confidence in future economic conditions or the degree of risk/uncertainty about future conditions in order to determine which contain more information about future employment and output. Some of these variables are prices, while others are from surveys. Causality tests, historical decompositions within a VAR and out-of-sample forecasts are among the tools used. This article concludes that monthly stock returns contain much more information about future economic conditions than the other variables. The spread between Moody’s BAA and AAA bonds, the spread between the constant maturity 10-year government bond and the federal funds rate, as well as uncertainty in future economic conditions as measured by the Federal Reserve Bank of Philadelphia’s Business Outlook Survey also provide information about future economic conditions. Notably, this article finds that monthly stock returns contain more information about future economic conditions than does the vix and that variables based on market prices provide more information than survey data. This result provides some support for the notion that market prices aggregate information.     

How do central banks react to wealth composition and asset prices?

We assess the response of monetary policy to developments in asset markets in the euro area, the US and the UK. We estimate the reaction of monetary policy to wealth composition and asset prices using: (i) a linear framework based on a fully simultaneous system approach in a Bayesian environment; and (ii) a nonlinear specification that relies on a smooth transition regression model.     

Does total-factor productivity drive housing prices? A growth-accounting exercise for four countries

Housing prices diverge from construction prices after 1997 in four major countries. Besides, total-factor productivity (TFP) differences between construction and the general economy account for the evolution of construction prices in the US and Germany, but not in the UK and Spain.     

Allocative efficiency measurement revisited—Do we really need input prices?

The traditional approach to measuring allocative efficiency exploits input prices, which are rarely known at the firm level. This paper proves allocative efficiency can be measured as a profit-oriented distance to the frontier in a profit-technical efficiency space. This new approach does not require information on input prices. To validate the new approach, we perform a Monte-Carlo experiment providing evidence that the estimates of allocative efficiency employing the new and the traditional approach are highly correlated. Finally, as an illustration, we apply the new approach to a sample of about 900 enterprises from the chemical manufacturing industry in Germany.     

Are the Australian and New Zealand stock prices nonlinear with a unit root?

Whether or not stock prices are characterized by a unit root has important implications for policy. For instance, by applying unit root tests one can deduce whether stock returns can be predicted from previous changes in prices. A finding of a unit root implies that stock returns cannot be predicted. This paper investigates whether or not stock prices for Australia and New Zealand can be characterized by a unit root process. An unrestricted two-regime threshold autoregressive model is used with an autoregressive unit root. Among the main results, it is found that the stock prices of both countries are nonlinear processes that are characterized by a unit root process, consistent with the efficient market hypothesis.     

Prices for cash and cash for prices? Theory and evidence on convenient pricing

A transaction between a seller and a buyer incurs a payment cost. The payment cost is borne by the seller, depending on the payment instrument the buyer chooses, cash or card. Card payment is more costly than cash payment, so the seller prefers that the buyer pays cash. In this article, we study the strategy of the seller setting a convenient price, which simplifies transactions and pushes the buyer to pay cash. The theoretical analysis, which models both the seller and the buyer in a game setting, derives two propositions: (1) the seller is more likely to set a more convenient price and (2) the buyer is more likely to pay cash a more convenient price. The empirical analysis supports both propositions. Thus, sellers adopt a convenience pricing strategy – prices for cash – and this strategy pushes buyers to pay cash – cash for prices.     

Colombia’s macroeconomic challenges at the end of the supercycle of commodity prices

The end of the commodity boom presents major challenges for the Colombian economy. The major ones relate to the need to reduce the current account deficit and find new growth engines. A competitive real exchange rate is essential for objectives and requires stronger interventions in the foreign exchange market; these interventions also help to smooth out the trajectory of the inflation rate. Finally, although fiscal adjustment has been adequate, there are fiscal needs associated with the additional public sector spending demanded by the peace agreement and the need to correct the major structural tax imbalances generated by previous tax reforms.     

Are housing prices improving GDP or vice versa? A cross-regional study of China

This study applies the bootstrap panel Granger causality test to examine the relationship between housing prices (HPs) and GDP across provinces in China. Empirical results show that HPs Granger cause GDP in the eastern region and in most provinces of the central region. Rapid industrialization and urbanization in the eastern region and the low-cost advantages of the central region promote housing investment and significantly affect GDP. However, GDP has no influence on HPs in the eastern region due to insufficient land supply, housing speculation and HPs deviating from the economic fundamentals. HPs do not Granger cause GDP in the western region because it is less attractive for housing investment. Also, GDP Granger causes HPs in the central and western regions that the economy can influence HPs. These findings could help the government formulate reasonable regional policies for the development of the housing market and economic growth.     

Do prices count? A micro-econometric study of illicit drug consumption based on self-reported data

Using a unique data set of almost 2,500 interviews with people attending a needle exchange service in Oslo, this paper sets out to estimate the impact of economic factors on heroin and amphetamine injectors drug consumption, including cross-price effects. To examine the robustness of the conclusions, four model versions are considered: with focus on (i) switching regression mechanisms treating dealing/non-dealing as an endogenous decision, (ii) spline function versions examining possible kinks in the price response, (iii) a dynamic model version focusing on addiction, and (iv) pseudo panel data model versions focusing on unobserved heterogeneity. Negative and significant price elasticities and positive and significant income elasticities come out as robust results. Their magnitude vary, however, depending on the type of model, on the main drug for injecting, and on whether the consumer also is a dealer.First version received: November 2002/Final version received: June 2003This paper builds in part on Bretteville-Jensen and Sutton (1996): Under the influence of the market: An applied study of illicitly selling and consuming of heroin, Discussion paper no. 147, Centre for Health Economics, University of York, in which the authors thank Andrew Jones and Jes Søgaard for helpful advice during early stages of the work. We also express our thanks to Jan Erik Askildsen, Kjell Erik Lommerud, Aina Uhde, and a referee for valuable comments on this extended version.     

An investigation into the dynamic relationship between international and China’s crude oil prices

This article studies the dynamic relationship between international (WTI, Brent and Dubai) and domestic (Da Qing) crude oil prices in China using threshold cointegration method. We find evidence of a long-run equilibrium relationship between each pair of international and Da Qing oil prices, favouring the market integration hypothesis. We also estimate asymmetric adjustments under the momentum threshold autoregressive (M-TAR) specification in a TVECM, and the results show that adjustments to eliminate disequilibrium happen faster when oil price spread increases than when it decreases. The long-run and short-run Granger causality tests support the notion that China has influence on the international oil markets. The results imply that China should open up its domestic and imported oil markets, and also establish a well-functioning crude oil futures market, as they are essential for arbitrage and hedging strategies.