The Influence of Rebate Programs on the Demand for Water Heaters: The Case of New South Wales

In the past decade the Australian Federal government and state governments have established a wide range of programs to cut greenhouse gas emissions from all sectors. This paper examines the role of hot water system rebate programs in shifting the existing stock of electric water heaters toward more climate friendly versions using two unique data sets from New South Wales homeowners. The first data set is based on a survey of households who recently purchased a water heater and exploits a natural experiment created by the rebate program to quantify its effects. The other data set is based on a set of stated preference questions asked of households who own an older water heater and will in the reasonably near future face a replacement decision. We find that recent rebate programs significantly increased the share of solar/heat pump systems. For households without access to natural gas, this increased share comes directly from inefficient electric water heaters. For households with access to natural gas, older existing electric water heaters would likely have been replaced with gas water heaters in the absence of the rebate programs. The rebate program appears to be much less effective when water heaters are replaced on an emergency basis. Data from discrete choice experiments was analysed using several flexible choice models. A newly proposed model that combines a latent class approach with a random coefficients approach clearly dominates the other models in terms of statistical fit. Predictions based on this model estimate are reasonably consistent with actual purchase data. Results from it point to considerable heterogeneity with respect to household preferences toward different types of water heaters and with respect to the discount rates they hold.Climate change mitigation, Energy conservation programs, Natural experiments, Discrete choice experiments, Environmental Economics and Policy, Resource /Energy Economics and Policy,

Property Tax Limitations and Mobility: The Lock-in Effect of California's Proposition 13

Proposition 13, adopted by California voters in 1978, mandates a property tax rate of one percent, requires that properties be assessed at market value at the time of sale, and allows assessments to rise by no more than 2% per year until the next sale. In this paper, we examine how Prop 13 has affected the average tenure length of owners and renters in California versus in other states. We find that from 1970 to 2000, the average tenure length of owners and renters in California increased by 1.04 years and .79 years, respectively, relative to the comparison states. We also find substantial variation in the response to Prop 13, with African-American households responding more than households of other races and migrants responding more than native-born households. Among owner-occupiers, the response to Prop 13 increases sharply as the size of the subsidy rises. Homeowners living in inland California cities such as Bakersfield receive Prop 13 subsidies averaging only $110/year and their average tenure length increased by only .11 years in 2000, but owners living in coastal California cities receive Prop 13 subsidies averaging in the thousands of dollars and their average tenure length increased by 2 to 3 years.

On Covid-19: new implications of job task requirements and spouse's occupational sorting

The Covid-19 pandemic has disrupted working life in many ways, the negative consequences of which may be distributed unevenly under lockdown regulations. In this paper, we construct a new set of pandemic-related indices from the Occupational Information Network (O*NET) using factor analysis. The indices capture two key dimensions of job task requirements: (i) the extent to which jobs can be adaptable to work from home; and (ii) the degree of infection risk at workplace. The interaction of these two dimensions help identify which groups of workers are more vulnerable to income losses, and which groups of occupations pose more risk to public health. This information is crucial for both designing appropriate supporting programs and finding a strategy to reopen the economy while controlling the spread of the virus. In our application, we map the indices to the labor force survey of a developing country, Thailand, to analyze these new labor market risks. We document differences in job characteristics across income groups, at both individual and household levels. First, low income individuals tend to work in occupations that require less physical interaction (lower risk of infection) but are less adaptable to work from home (higher risk of income/job loss) than high income people. Second, the positive occupational sorting among low-income couples amplifies these differences at the household level. Consequently, low-income families tend to face a disproportionately larger risk of income/job loss from lockdown measures. In addition, the different exposure to infection and income risks between income groups can play an important role in shaping up the timing and optimal strategies to unlock the economy

Housing Busts and Household Mobility

Using two decades of American Housing Survey data from 1985 to 2005, we estimate the influence of negative home equity and rising mortgage interest rates on household mobility. We find that both factors lead to lower, not higher, mobility rates over time. The effects are economically large - mobility is almost 50 percent lower for owners with negative equity in their homes. This finding does not imply that current concerns over defaults and homeowners having to relocate are entirely misplaced. It does indicate that, in the past, the mortgage lock-in effects of these two factors were dominant over time. Policymakers may wish to begin considering the consequences of mortgage lock-in and reduced household mobility because they are quite different from the consequences associated with default and higher mobility

Record linkage using Stata: Preprocessing, linking, and reviewing utilities

In this article, we describe Stata utilities that facilitate probabilistic record linkage—the technique typically used for merging two datasets with no common record identifier. While the preprocessing tools are developed specifically for linking two company databases, the other tools can be used for many different types of linkage. Specifically, the stnd_compname and stnd_address commands parse and standardize company names and addresses to improve the match quality when linking. The reclink2 command is a generalized version of Blasnik's reclink (2010, Statistical Software Components S456876, Department of Economics, Boston College) that allows for many-to-one matching. Finally, clrevmatch is an interactive tool that allows the user to review matched results in an efficient and seamless manner. Rather than exporting results to another file format (for example, Excel), inputting clerical reviews, and importing back into Stata, one can use the clrevmatch tool to conduct all of these steps within Stata. This helps improve the speed and flexibility of matching, which often involves multiple runs

Labour Supply: The Roles of Human Capital and The Extensive Margin

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/120493/1/ecoj12362.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/120493/2/ecoj12362-sup-0001-AppendixA-G.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/120493/3/ecoj12362_am.pd

The Influence of Rebate Programs on the Demand for Water Heaters: The Case of New South Wales

In the past decade the Australian Federal government and state governments have established a wide range of programs to cut greenhouse gas emissions from all sectors. This paper examines the role of hot water system rebate programs in shifting the existing stock of electric water heaters toward more climate friendly versions using two unique data sets from New South Wales homeowners. The first data set is based on a survey of households who recently purchased a water heater and exploits a natural experiment created by the rebate program to quantify its effects. The other data set is based on a set of stated preference questions asked of households who own an older water heater and will in the reasonably near future face a replacement decision. We find that recent rebate programs significantly increased the share of solar/heat pump systems. For households without access to natural gas, this increased share comes directly from inefficient electric water heaters. For households with access to natural gas, older existing electric water heaters would likely have been replaced with gas water heaters in the absence of the rebate programs. The rebate program appears to be much less effective when water heaters are replaced on an emergency basis. Data from discrete choice experiments was analysed using several flexible choice models. A newly proposed model that combines a latent class approach with a random coefficients approach clearly dominates the other models in terms of statistical fit. Predictions based on this model estimate are reasonably consistent with actual purchase data. Results from it point to considerable heterogeneity with respect to household preferences toward different types of water heaters and with respect to the discount rates they hold

Aging, inadequacy, and fiscal constraint: The case of Thailand

Abstract We use an overlapping generations model to study the challenge in developing countries with a large informal sector and aging population. We use Thailand as a case study and incorporate its labor market structure and its public pension system into the calibrated model. Unlike developed countries, workers in developing countries commonly transit from the formal sector to the informal sector, which can be in the early stage of their working life. This labor market feature crucially limits the coverage of the contributory social security (SS) system. We find that 66% of Thai elderly (aged 60 or over) are ineligible for SS annuity benefits because of an insufficient number of years paying into the SS fund. In addition, we use our model to evaluate two schemes to raise the existing universal basic pension income to the poverty line, namely, uniform benefits and pension‐tested benefits. We find that pension‐testing effectively improves the targeting efficiency, and nontrivially lowers the cost of the basic pension income program