Estimating Demand for Long-term Care Insurance in Thailand: Evidence from a Discrete Choice Experiment
At present, the Thai public health insurance schemes cover medical care. However, the financial risk associated with long-term care needs is unprotected. The increasing likelihood of Thai elderly living longer and living alone has raised great concern about their quality of life. In the wake of the declining informal support capacity, a public long-term care insurance (LTCI) system has been considered as a potential alternative. Because the public will have to contribute to the LTCI fund, this paper explores whether the Thai people are willing to pay for such a provision. The LTCI demand is estimated based on the stated preference survey data. Our results show that most respondents are willing to pay to insure against their risk associated with long-term care expenditure, but their preferences are very heterogeneous. Gains and losses for different policy scenarios, measured by consumer surplus, are discussed.
Evaluating Thailand’s Free Basic Electricity Program
This study evaluates the performance of Thailand’s Free Basic Electricity (FBE) program along three dimensions: targeting effectiveness, benefit adequacy, and subsidy burden distribution. While the FBE benefits reaches the targeted population (low-income families) quite well, the benefit leakage to the non-targeted population could result in a significant increase in the overall subsidy cost. Furthermore, the current 50-unit free quota given by the FBE program is insufficient for the basic need of many low-income families. Lastly, the FBE subsidy burden falls exclusively on the industrial/commercial customers, but the cost increase has been rather small. Therefore, Thailand’s FBE program can be markedly improved by introducing a more effective targeting approach to reduce leakage, which will allow the government to raise the free electricity quota while maintaining the same overall subsidy cost.
Thai Inflation Dynamics: A View from Micro CPI Data
This paper examines the patterns of price adjustment at the micro level in order to further our understanding of price rigidity at the aggregate level. We highlight 5 stylized facts: 1) Prices change infrequently with a mean duration of approximately 4 to 7 months between price changes; 2) Price decreases are common accounting for roughly 45 percent of all price changes; 3) Price changes, both increases and decreases, are sizable compared to the prevailing in ation rate; 4) The size of price changes covaries strongly with the rate of in ation, whereas the fraction of items changing prices does not; and 5) There is signicant dispersion in price levels as well as in the synchronicity of price changes across geographical regions. Based on a dynamic factor model, we also utilize prices at the disaggregated level to perform an in ation decomposition to understand the underlying driving factors of in ation. The key ndings are: 1) Prices at the micro level are driven mainly by idiosyncratic shocks but these shocks become less important for CPI in ation at the aggregate level; 2) Pure in ation which drives long-term price movements in Thailand is responsible for approximately 10 percent of overall price movements; 3) More than half of all within-quarter uctuations can be classied as relative price changes in response to aggregate shocks; 4) The short-run in ation-output tradeoff which appears weak in aggregate data becomes much stronger once volatile idiosyncratic price changes are removed.
Farmers and Pixels: Toward Sustainable Agricultural Finance with Space Technology
This paper explores promises of satellite technology in creating high-quality agricultural risk information necessary for unlocking market inefficiencies that have precluded sustainable development of insurance markets and overall risk management in agricultural sector, where uninsured risk remains a leading impediment of economic development. Using pixel-level, high resolution, high frequency and longitudinal satellite data together with a combination of geographical information system (GIS) data, administrative and household-level agricultural data, this paper answers three questions: (1) Can satellite data be used to generate high-quality risk information for Thai rice farmers? (2) How might the satellite-based risk information be used to crowd in sustainable markets for agricultural finance? And (3) What are potential economic impacts of having high quality agricultural data on farmers, agricultural banks and government? After illuminating the potential values of investing in high-quality agricultural data, this paper also discusses key challenges and ways forward in bringing this research into real action to enhance financial stability of farmers, financial system and government.
Overoptimistic Entrepreneurs: Predicting Wellbeing Consequences of Self-Employment
The formation of expectations is a fundamental part of the process when people decide about engaging in an entrepreneurial venture. We evaluate the accuracy of newly self-employed people’s predictions of their overall future wellbeing. Based on individual panel data for Germany, we find that they are overly optimistic when we compare their predicted life satisfaction with their actual life satisfaction five years later on. This overoptimism also holds for those entrepreneurs who successfully remain in business for at least five years. A possible reason might be that they underestimate the heavy workload reflected in higher working hours than desired and the drop in leisure satisfaction.
Predicting the Present Revisited: The Case of Thailand
Google is currently the most-used search engine in the world. There are approximately 3.5 billion searches being conducted on Google each day. With real-time processing, Google Trends data can be used in a prediction technique called nowcasting (or “predicting the present”) – using the current period’s real-time information to estimate the current period’s indicators of interest. In this paper, we showed how Google Trends can be used for nowcasting Thailand’s various economic indicators. The sectors being analyzed are (i) the labor market sector (unemployment rate and unemployment registration), (ii) the real sector (automobile sales), and (iii) the financial sector (SET index). The results revealed that incorporating the Google Trends data into the prediction models improved the Adjusted R-Squared and improved the predication accuracies under various measures.
Impact of Lower Rated Journals on Economists’ Judgments of Publication Lists: Evidence from a Survey Experiment
Publications in leading journals are widely known to have a positive impact on economists’ judgments of the value of authors’ contributions to the literature and on their professional reputations. Very little attention has been given, however, to the impacts of the addition of publications in lower rated journals on such judgments. In our main tests, we asked sub-samples of economist in 44 universities throughout the world to rate either a publication list with only higher rated journals or a list with all of these but with additional publications in nearly as many respected but lower rated journals. Our primary finding was that the inclusion of lower rated journals had a statistically significant negative impact on these economists’ judgments of the value of the author’s contribution. To the extent that such judgments may influence research and publication strategies our findings imply negative implications on social welfare.
More Than Words: A Textual Analysis of Monetary Policy Communication
This paper employs various tools from computational linguistics to monetary policy statements to gain exploratory insights into the nature of central bank communication. The sample was taken from a wide array of central banks, covering major central banks and others under the inflation-targeting (IT) regime, from 2000 to 2015. Three major aspects of communication were examined in this study, namely (i) readability – the ease with which a reader can understand a written text, (ii) topics – the key themes that are discussed in the policy statements, and (iii) tones – how positive/negative the outlook is in the central bank’s language assessment.
The Social Cost of Thailand’s Transportation Fuel Pricing Policy
The price structure of Thailand’s transportation fuels has always been heavily distorted by the government. The prices of diesel and biofuels are consistently subsidized, while the prices of other fuels are raised above their competitive level in order to provide cross-subsidies to diesel and biofuels. Price distortion in this fashion leads to over- /under-consumption of transportation fuels relative to the socially optimal level. This study estimates the economic and social cost of the price distortions within Thailand’s transportation fuel market that stem from inecient price structure and cross subsidies.
Optimal Environmental Policies and Renewable Energy Investment in Electricity Markets
Renewable electricity subsidies have been popular policy instruments to combat climate change because of their ability to offset emissions. This paper studies the long-run welfare benefits of optimizing the design of the existing renewable energy subsidy (the status quo) in the presence of heterogeneity in the offset emissions. In particular, I measure the welfare gain from differentiating renewable subsidies across location and time to reflect the environmental benefits from offseting emissions. Ifind that the welfare gain from differentiation is small compared to the gain already achieved under the status quo subsidy. In contrast, the optimal emissions tax yields much larger welfare gain because it engages in other cost-effective emissions abatement channels that renewable energy subsidies do not: namely, demand conservation and cross-plant fuel substitution.