Do house prices affect campaign contributions?

Individual campaign contributions are the largest source of financing for U.S. presidential and congressional candidates, though the body of research examining why people give remains small. To help understand these decisions, we estimate the causal impact of house prices on donations across campaigns and parties using an instrumental variables strategy. Our results indicate that an increase in house prices increases ZIP code-level donations to Democratic presidential and congressional candidates, with minuscule or no effect for Republican candidates. The effects in areas with a greater proportion of renters are larger than areas with more homeowners. Since this population is likely to experience higher rents as a result of house price increases, this suggests that pleas for policy may inspire giving. Further, areas with the highest fraction of college educated residents also see the largest effects, when compared to less-educated areas, suggesting a wealth effect exists as well.     

Do regional house prices converge or diverge in China?

This paper aims to test whether the regional house prices are convergent or divergent in China using a monthly panel data set of China’s 70 large and medium-sized cities from July 2005 to December 2010. This issue is closely related to understanding the efficiency of the country-level housing policies made by China’s central government. The test results suggest that the regional house prices in China are generally divergent, and thereby the country-level policies may be inefficient since they do not explicitly take the strong heterogeneity of China’s regional housing markets into consideration. As a consequence, it may be better for China’s central government to further decentralize and devolve its governance toward the housing market to the local governments.     

Fundamentals or trends? A long-term perspective on house prices

Using a long-term time series covering 350 years of house prices along the Herengracht in Amsterdam, we examine whether a fundamental factor or a trend explains house prices and whether their explanatory power is time varying. We find that agents in the housing market switch in their formation of expectations about future changes in house prices between fundamental and momentum strategies. Specifically, we show that agents base their expectations more on fundamentals during economic slowdowns and more on recent trends or momentum during economic booms.     

Do sticky prices increase real exchange rate volatility at the sector level?

We introduce the real exchange rate volatility curve as a useful device to understand the relationship between price stickiness and the fluctuations in Law of One Price deviations. In the presence of both nominal and real shocks, the theory predicts that the real exchange rate volatility curve is a U-shaped function of the degree of price stickiness. Using sector-level US–European real exchange rate data and frequency of price changes, we estimate the volatility curve and find the predominance of real effects over nominal effects. Good-by-good variance decompositions show that the relative contribution of nominal shocks is smaller at the sector level than what previous studies have found at the aggregate level, consistent with significant averaging out of good-specific real microeconomic shocks.     

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.     

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.     

Do real interest rates converge across Latin american countries?

In this study, we apply the Sequential Panel Selection Method (SPSM), proposed by Chortareas and Kapetanios (Journal of Banking and Finance 33:390–404, 2009), to investigate and assess the non-stationary properties of the real interest rate parity (RIRP) for fourteen Latin American countries. Utilizing the SPSM, we can classify the entire panel into a group of stationary series and a group of non-stationary series. We clearly identify how many and which series in the panel are stationary processes and provide robust evidence that clearly indicate RIRP holds true for ten countries. Our findings note that these countries’ real interest rate convergence is a mean reversion toward RIRP equilibrium values in a non-linear way. Our results have important policy implications for these Latin American countries under study.     

What drives investment in the telecommunications sector? Some lessons from the OECD countries

Regulation of telecommunications sector plays a crucial role in the political and economic agenda for both industrial and developing countries. The regulatory efforts of more developing countries in order to attract investments and enhance the level of effective competition in the industry are hindered by the absence of a sound legal framework, the weak level of regulation and the extended state interventionism. The main aim of this study is to examine the regulatory process in the telecommunications industry within the OECD countries and determine the extent to which it has affected the level of investment and economic growth. For this purpose, we use an updated data set for thirty OECD countries covering the period 1988–2010 and panel data econometric techniques. Our analysis reveals that there is a strong and positive relationship between effective regulation and investment.     

Do the OECD 24 month horizon growth forecasts for the G7–countries contain information?

The OECD produces two–year–ahead growth forecasts for the G7–countries since 1987; these forecasts have never been evaluated. A regression is developed that tests for the information content of the forecasts. The idea is that this content is the added value forecasters incorporate in their forecasts. The information content is defined relative to the forecast for the previous year. In the end, the added value contained in the current year forecast is calculated relative to the last observation. The test consists in checking whether the information content reduces the forecasts error.

The study begins with a calculation of the usual accuracy statistics. These indicate an extreme low quality for the forecasts. The regression tests support this conclusion although the forecasts for Japan do possess some information. Alarming for users of forecasts is that there are no obvious alternatives.     

Will euro area house prices sharply decrease?

The long-term euro area house price equilibrium and its short-term dynamics are estimated by means of a panel error correction model. The estimates show that the short-term dynamics are essentially driven by the autoregressive term (persistence), disposable income and mortgage loans, whereas interest rates have little effect. The long-term house price equilibrium is mainly driven on the demand side by disposable income, interest rates, and mortgage loans, whereas costs (mostly land) drive the equilibrium on the supply side. The unprecedented long-lasting boom in house prices from 1997 to 2007 is thus essentially explained by a favourable macroeconomic development caused by the EMU effect and a glut of global savings. The bust phase of euro area house prices began in 2007, and the current house price might return to its equilibrium level in 2014. According to the most realistic scenario, euro area house prices will experience a smooth and soft landing in 2016 and then begin an increasing phase that will be pulled upwards by a higher equilibrium price. However, a deflationary scenario cannot be excluded if the current credit squeeze is not solved, particularly in the peripheral euro area member states.     

Do changes in the fundamentals have symmetric or asymmetric effects on house prices? Evidence from 52 states of the United States of America

Time-series studies that have tried to establish the long-run relationship between house prices and economic fundamentals have been criticized due to low power of their cointegration tests. On the other hand, those who have used panel data and panel tests to increase the power have found mixed results. Both groups have assumed that changes in the fundamentals have symmetric effects on house prices. In this article, we use nonlinear ARDL approach to cointegration and error-correction modelling and quarterly data from each of the states in the US to show that changes in the fundamentals have asymmetric effects on house prices, in the short run as well as in the long run. Cointegration between house prices and fundamentals is established in 30 states and in District of Columbia.     

Deterministic and stochastic trends in the Lee–Carter mortality model

The Lee and Carter (1992) model assumes that the deterministic and stochastic time series dynamics load with identical weights when describing the development of age-specific mortality rates. Effectively this means that the main characteristics of the model simplify to a random walk model with age-specific drift components. But restricting the adjustment mechanism of the stochastic and linear trend components to be identical may be too strong a simplification. In fact, the presence of a stochastic trend component may itself result from a bias induced by properly fitting the linear trend that characterizes mortality data. We find empirical evidence that this feature of the Lee–Carter model overly restricts the system dynamics and we suggest to separate the deterministic and stochastic time series components at the benefit of improved fit and forecasting performance. In fact, we find that the classical Lee–Carter model will otherwise overestimate the reduction of mortality for the younger age groups and will underestimate the reduction of mortality for the older age groups. In practice, our recommendation means that the Lee–Carter model instead of a one-factor model should be formulated as a two- (or several) factor model where one factor is deterministic and the other factors are stochastic. This feature generalizes to the range of models that extend the Lee–Carter model in various directions.     

Do population age groups matter in the energy use of the oil-exporting countries?

This study examines the impacts of the population age groups of 20–34, 35–49, 50–64 and 65–79 on the per capita energy use of the oil-exporting countries of Commonwealth Independent States: Azerbaijan, Kazakhstan and Russia employing the modified-STIRPAT framework. Considering that estimations using non-stationary data may yield spurious results, unlike many prior STIRPAT studies, we explore integration and cointegration properties of the data and then estimate long- and short-run elasticities as well as speed of adjustment coefficients. Since our time series analysis covers only 23 observations (1990-2012), as a robustness check, we also conduct panel data analysis by pooling the mentioned countries data with that for members of Organization of Petroleum Exporting Countries. We apply the Autoregressive Distributed Lags Bounds Testing approach in the time series analysis and Pooled Mean Group estimator in the panel analysis, both are superior in small samples. The findings from the time series analysis are supported by those from the panel data analysis. According to the results, there is cointegrated relationship among the variables. The age groups together with affluence and oil prices have statistically significant impacts on the per capita energy use in the selected countries. Moreover, we find the speed of adjustments exhibiting different magnitudes for different countries depending on which population age group is considered. The findings suggest that policymakers should pay special attention to the population age groups of 35–49 and 50–64, as they have a large effect on per capita energy use. Since these groups are the main part of the working age population, increase in their energy consumption is likely to lead to economic growth. Furthermore, the policymakers should take into consideration the finding that speed of adjustments towards an equilibrium path is quite high. It implies that any policy related shocks to the per capita energy use relationship could disappear within a year or even sooner.     

Unemployment–inflation trade-offs in OECD countries

Inflation and unemployment reduce welfare of individuals and should be as low as possible in any economy. Cointegration and Granger causality tests suggest that there are long run relations between these two variables among the OECD economies. While rates of unemployment vary significantly among these economies, rates of inflation have stabilised at lower rates as a result of inflation targeting policies adopted in them during the last two decades. The Phillips curve phenomena are still empirically significant for 28 out of 35 of these OECD economies in country specific regressions; in fixed and random effect panel data models and in a panel VAR model for 1990:1 to 2014:4. Country specific supply curves and Okun curves are consistent to thin Phillips curve relations. Leftward shifts in the Beveridge and Phillips curves require labour market reforms balancing between job creations and destructions. Complementing macro stimulations by microeconomic structural and institutional reforms can bring efficiency in bargaining for wages and employment among firms and workers to make unemployment–inflation trade-offs more significant and relevant in these economies.     

Do real interest rates converge across East Asian countries based on China?

This study applies the sequential panel selection method (SPSM), proposed by Chortareas and Kapetanios (2009), to assess the non-stationary properties of the real interest rates relative to China for ten East Asian countries. SPSM can classify the whole panel into a group of stationary series and a group of non-stationary series. We clearly identify how many and which series in the panel are stationary processes and provide robust evidence to indicate that RIRP holds true for five countries. It implies that the choices and effectiveness of the monetary and fiscal policies in the East Asian economies will be highly influenced by external factors originating from China. Also, our findings point out that real interest rate convergence relative to China is mean reverting toward RIRP equilibrium values in a non-linear way.     

Bubbles in US regional house prices: evidence from house price–income ratios at the State level

We investigate the presence of bubbles in the US house price-income ratio at the State level by applying the recent time series-based econometric test to data from January 1975 to December 2014. We find evidence of bubbles in several States in the 1980s (i.e. California, Hawaii, Massachusetts, New York, etc.), which coincides with some existing studies that investigate housing bubbles or booms and busts using a range of alternative approaches. Our results show the existence of a housing bubble that originates in the early 2000s and collapses in the mid-2000s in more than 20 States and the District of Columbia concluding that the bubbles of the 2000s were more widespread than the 1980s, which is of special interest and importance. Our results seem to be in agreement with the talk given by Alan Greenspan in 2005, who suggest no sign of a nationwide housing bubble but a lot of local bubbles. We also study the importance of the regression model specification with/without an intercept and the regression model with an intercept could lead to false-positive identification of bubbles.     

Do net positions in the futures market cause spot prices of crude oil?

The last decade has witnessed sharp increases in the price of crude oil. There are two possible explanations for these increases: dramatic increases in financial firms' position in the oil futures market and recent increases in oil prices from changes in economic fundamentals. This paper examines the causal relationship between the net financial position and the crude oil price by using three types of Granger non-causality tests: the classical Granger non-causality test, a robust Granger non-causality test and a Granger non-causality test in quantiles. The empirical results provide some evidence of causality from the net financial position to the spot price of crude oil. In addition, futures prices serve as a transmission mechanism underlying the causal relationship between the net financial position and the crude oil price.