Estimation of house price differential of urban tree cover: an application of sample selection approach

Hedonic valuation of urban forest amenities tends to assume that these attributes are exogenous to sample selection, which might render the estimated results misleading. This article intends to estimate the house price differential of urban tree cover by considering the sample selection issue. The main hypothesis is that houses with high tree cover generates higher utility to consumers, and thus leads to higher house price, ceteris paribus. It may attribute to the fact that consumers self-select into purchasing houses with high- or low-density tree cover based on some unobserved systematically different characteristics. As a result, estimates from sample selection models confirm the hypothesis that purchasing a house with high-density tree cover leads to a positive price differential compared with the low-density tree cover in Napa, Los Angeles, and that buying a low-density tree cover house results in negative price differential in Napa, Los Angeles.     

The absolute health income hypothesis revisited: a semiparametric quantile regression approach

This paper uses the 1998–1999 Canadian National Population Health Survey data to examine the health–income relationship that underlies the absolute income hypothesis. To allow for nonlinearity and data heterogeneity, we use a partially linear semiparametric quantile regression model. The “absolute income hypothesis” is partially true; the negative aging effects appear more pronounced for the ill-healthy population than for the healthy population and when annual income is below 40,000 Canadian dollars. We would like to thank two anonymous referees and Baldev Raj, the editor, for useful and constructive comments and suggestions. The views expressed in this article are those of the authors and do not necessarily reflect the views of Statistics Canada. Both authors would also like to acknowledge financial support from SSHRC of Canada.     

Racial/Ethnic disparities in high return investment ownership: a Heckman selection model

This study investigates racial/ethnic differences in high return investment ownership in the U.S. Households with low levels of financial assets might not be able to meaningfully make investment choices, so a Heckman two-stage selection model was used to separate the minimum asset level status from the allocation decision, specifically in whether households owned at least one high return investment. We found that households with White respondents were more likely than households with Black and Hispanic respondents to have adequate financial assets for investment. Conditional on having adequate financial assets, and controlling for household characteristics and financial literacy, White households were more likely to own high return investments than Black, Hispanic and Asian/other households. Policies to nudge households to invest some wealth in high return investment assets would benefit minority households.     

Effects of house-sale restrictions in China: a difference-in-difference approach

Chinese housing prices have increased rapidly in recent years. Concerned about the potential for a burst bubble, the Chinese government has been intervening in the market to rein in the rising price trend since 2010. In March 2017, a new housing policy, called house-sale restriction, was developed to curtail speculation in the Chinese housing market. This study uses a difference-in-difference model to examine the policy effect of this new restriction. By using house-sale and price data of 43 cities across 30 provinces in China, we find that house-sale restrictions could effectively reduce speculation in the market as well as decrease housing prices in the short term. This study analyses only the short-term effect of this new housing policy; the long-term effect requires further examination.     

Measuring competition in microfinance markets: a new approach

This paper employs a relatively new method of competition measurement, the Boone indicator, for data on 521 microfinance institutions (MFIs) in ten vibrant microfinance markets: Bangladesh, India, Nepal, Indonesia, the Philippines, Bolivia, Ecuador, Nicaragua, Mexico and Peru. This approach is able to measure competition on a yearly basis in market segments without considering the entire market, as other well-known methods – for instance, the Panzar-Rosse model – require. Stochastic frontier (SF) models have been employed to estimate the translog cost function (TCF) and then marginal costs are computed. The potential endogeneity of performance and costs are overcome by utilising a two-step GMM estimator. Results show that competition levels vary from country to country, and over the period 2003–2010 India and Nicaragua had the most competitive microfinance loan markets. Competition among the microfinance institutions in Bangladesh and Bolivia declined significantly over time, which may be due to the partial reconstitution of market power by the giant MFIs in these countries. Competition in other countries remained mostly unchanged over the years, in line with the consolidation and revitalisation of respective microfinance markets.     

Estimating interest rate setting behaviour in Korea: a constrained ordered choices model approach

We study the Bank of Korea’s interest rate setting behaviour using an array of constrained ordered choices models, where the Monetary Policy Committee revises the target policy interest rate only when the current market interest rate deviates from the optimal rate by more than certain threshold values. Our models explain changes in the monetary policy stance well for the monthly frequency Korean data since January 2000. We find important roles for the output gap and the foreign exchange rate in understanding the Bank of Korea’s rate decision-making process. We also implement out-of-sample forecast exercises with September 2008 (Lehman Brothers Bankruptcy) for a split point. We demonstrate that out-of-sample predictability improves greatly for the rate cut and the rate hike decisions using SE-adjusted inaction bands.     

Location,internationalization and performance of firms in Italy: a multilevel approach

Competition is increasingly global. However, location still matters: often firms cluster in the same geographic areas in order to exploit locational externalities and improve their competitiveness. This article analyses how Italian firms' performance, proxied by their propensity to export, depends both on geographical and institutional context and on individual characteristics. Using a multilevel approach, we estimate and distinguish the effect of individual (firm level) and context (province level) variables on the performance of internationalized Italian firms. We show that both firms and province heterogeneity shape the results.     

Testing for negativity in a demand system: A Bayesian approach

The paper introduces Bayesian inference into a demand model. This allows us to test for the negativity condition of the substitution matrix which is difficult to handle directly in the traditional approach. To illustrate the Bayesian inference procedures, we estimate the Rotterdam model and test the demand properties using Japanese data. The empirical results show the importance of specifically considering negativity in demand analysis. First version received: September 1997/final version received: February 1998     

Undiscounted optimal growth in the two-sector Robinson-Solow-Srinivasan model: a synthesis of the value-loss approach and dynamic programming

We highlight two features of undiscounted optimal growth in the context of a two-sector model due to Robinson, Solow and Srinivasan. First, we use the value-loss approach of Radner-Gale-McKenzie to show a multiplicity of optimal programs in situations when optimality does not coincide with value-loss minimization. Second, we use a theory of undiscounted dynamic programming, not available in the literature, to derive properties of the optimal policy correspondence. In terms of a methodological perspective, we suggest a synthesis of the two methods for the analysis of problems of optimal intertemporal resource allocationThis essay is dedicated to Mukul Majumdar on the occasion of his sixtieth birthday, with affection and admiration. We would like to thank Robert Becker, Minako Fujio and Ron Jones for useful discussions and to a referee of this journal for very insightful comments. We are grateful to the Center for Analytic Economics at Cornell and to the Center for a Livable Future at Johns Hopkins for research support     

Modeling the short-run costs of changes in water availability in a desert city: a modified input-output approach

This paper investigates the impact of change in sectoral water supply on employment, value-added output, and indirect business tax, in Maricopa County, Arizona using input–output model. We developed extended modified input–output approach that incorporates each source of water as a separate sector, and that allows for substitution between water sources, and estimated the economic impact of a change in surface water supplies under two scenarios. Scenario I assumes that total water supply/use decreases by 1%, but the reduction comes only from surface water use, holding groundwater use constant. Scenario II assumes that surface water supply/use in all industries decreases by 1%, and the reduction in surface water use is replaced by the exact amount of more expensive groundwater. We found that the magnitude of economic impact depends on consumer’s responsiveness to water price change. When price elasticity of water demand is relatively low (≤0.2), the economic impact of a 1% reduction in surface water supplies was smaller than under the first scenario. However, the more water users in all industries are responsive to a change in water price, the bigger are economic impacts in terms of reductions in jobs, value added, and indirect business taxes.     

Trade in the enlarged European Union: a new approach on trade potential

This paper focuses on the trade potential of manufactured exports from countries belonging to the enlarged EU (EU25) to groups of countries of that economic area in 2002. We note that previous results on trade potential, based on the estimation of a gravity model, may be invalid. Thus, we propose a correct approach based on the Poisson Pseudo-Maximum Likelihood estimator and the calculation of confidence intervals with the Delta method. The gravity model includes fixed effects to capture bilateral trade specificities between country groupings. We conclude that CEEC as a group had apparently exhausted the possibilities for export expansion in the EU25, unless dynamic changes were to take place. However, several of the remaining EU25 countries had not yet reached their export potential to the EU25 markets, including to the CEEC as a group.     

Innovation and ICT in service firms: towards a multidimensional approach for impact assessment

This article focuses on the multimodal character of innovation in services firms as the analytical framework by which to assess the role of different sources and agents, ICT in particular, in enabling various impacts of innovation. The peculiarities of service innovation require a wider approach than that observed for goods innovation, which is less focused on non-technological aspects. An ad hoc survey was carried out in the region of Madrid to test a microeconometric and multidimensional approach at the firm level. Specific impacts of innovation are examined by carrying out an ordered probit model with sample selection. Results indicate a certain correspondence between the multidimensional nature of service innovation and a preliminary impact assessment. The paper notes that ICT and clients–providers interactions are both important, acting to facilitate different types of service innovation.

The evolution of stock market efficiency in the US: a non-Bayesian time-varying model approach

A non-Bayesian time-varying model is developed by introducing the concept of the degree of market efficiency that varies over time. This model may be seen as a reflection of the idea that continuous technological progress alters the trading environment over time. With new methodologies and a new measure of the degree of market efficiency, we examine whether the US stock market evolves over time. In particular, a time-varying autoregressive (TV-AR) model is employed. Our main findings are: (i) the US stock market has evolved over time and the degree of market efficiency has cyclical fluctuations with a considerably long periodicity, from 30 to 40 years; and (ii) the US stock market has been efficient with the exception of four times in our sample period: during the long recession of 1873–1879; the recession of 1902–1904; the New Deal era; and the recession of 1957–1958 and soon after it. It is then shown that our results are partly consistent with the view of behavioural finance.     

Economic consequences of the Home Appliance Eco-Point Program in Japan: a dynamic discrete choice approach

This study combined a dynamic discrete choice model for air conditioner replacement decisions with an inter-industry model in order to evaluate the economic impact of Japan’s Home Appliance Eco-Point Program, an appliance replacement program that was in effect from May 2009 to March 2011. Focusing on air conditioners produced from 1995 to 1999 and replaced during the period from 2005 to 2013, we found that the eco-point program increased replacement probabilities by 1.5% to 1.9% in 2009. Moreover, the program produced an additional output of 31,337 million yen and a total value added of 21,259 million yen. However, the benefit–cost ratio – determined by dividing the increase in value added by the monetary value of the points awarded for appliance replacement – was only 0.68. From a cost-benefit perspective, the program can be judged not to have been an effective policy measure.     

The long-run decline in the share of agricultural and food products in international trade: a gravity equation approach to its causes

The objective of this study is to determine the causes of the loss of share of agricultural products and food in international trade. The article compares, using a gravity model, the impact of various factors upon bilateral trade in agricultural products, in manufactures and in total trade, between 1963 and 2000 for a representative sample of 40 countries. The results clearly demonstrate how the low demand elasticity for agricultural products and food, the high degree of protectionism to which they were subjected and their meagre share in intra-industrial trade are the principal causes of their relatively slow growth.