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The purpose of this paper is to evaluate whether two specific forms of government policy influence entrepreneurship and hence the performance economy as a whole. Performance is measured in terms of living standards and growth therein. The policies are, as follows: higher quality government regulation of businesses and higher levels of economic freedom.

The paper first provides a basic model focussing upon the regulation and economic freedom variables. The study then adds a dummy variable for G8 nations, a tax burden variable, and the long-term interest rate and provides six estimates. The empirical analysis involves pooled time-series/cross-section data for the OECD over the period 2003-2007.

The findings indicate that for OECD nations, higher quality public regulation promotes entrepreneurial spirit and performance. Higher economic freedom does the same. The findings are that higher quality government regulation of business and higher levels of economic freedom lead to higher growth rates in the standard of living.

The time period studied, i.e., just prior to the Great Recession, the context of the OECD, the adoption of pooled time-series/cross-section data, and the specific choice of variables in the analysis, along with the estimation of possibly unique or close to unique specifications involving the growth rate of living standards per se make this study different.

The chapter reviews and extends the theory of exact and superlative index numbers. Exact index numbers are empirical index number formula that are equal to an underlying theoretical index, provided that the consumer has preferences that can be represented by certain functional forms. These exact indexes can be used to measure changes in a consumer's cost of living or welfare. Two cases are considered: the case of homothetic preferences and the case of nonhomothetic preferences. In the homothetic case, exact index numbers are obtained for square root quadratic preferences, quadratic mean of order r preferences, and normalized quadratic preferences. In the nonhomothetic case, exact indexes are obtained for various translog preferences.

Currently, Malaysia uses the Poverty Line Income (PLI) to measure poverty. This is because income measurement is the easiest way to collect data, but in its simplicity, it fails to capture the broader meaning and implications of poverty. Asset index is one of the non-monetary poverty measurements which have been established by researchers but not used in measuring poverty in Malaysia. A household might be poor in income, but assets may prevent them from being trapped in poverty.

This study will reassess the poverty of 302 households in the Northern States of Malaysia using the asset index and also the current state of poverty incidence with change under asset index.

The results show that households in the Northern States of Malaysia are interpreted as being ‘poorer’ when poverty is measured using assets as opposed to income alone. Besides that, poverty incidence of Malay households, households living in urban area and households with middle-aged heads have high poverty incidence, while households with a head of households that is single and highly educated have low poverty incidence. The logistic regression analysis shows that the determinants of poverty incidence based on the asset index are Indian, Penang and Perak State, the age of the head of household, distance to the education centre from home.

This study shows the asset index measurement which have not been done in Malaysia. This will contribute to the improvement of poverty measurement of the country.

The contribution of this study is both methodological and empirical. It provides a method of estimating preference consistent true cost of living indices and demonstrates the use of unit values (food items), adjusted for quality and demographic effects, as prices. Using NSS data, changes in living standards (measured by per capita real expenditure) in India are examined between 1999/2000 and 2009/2010. The paper aims to discuss these issues.

From the adjusted unit values, “exact” price indices are computed using QAIDS-based preference consistent methods that allow between-item substitution effects and variation across states.

A comparison of the nominal and price deflated real expenditures under alternative temporal price scenario during 1999/2000-2009/2010 shows that the states largely preserve their ranks over the periods, in spite of differential temporal price movement. However, comparison of the nominal and price-deflated real expenditure growth reveals that the rankings are sensitive to the price deflator used.

The results question the wisdom of the treatment of large countries with heterogeneous preferences, e.g. India, as single entities in PPP calculations as in the ICP project. Hence, the results have methodological and empirical implications that extend beyond India.

The study provides evidence on the issue of spatial difference in the temporal movement in prices, where no such evidence exists, and contains the first evidence on living standards in India in the post global financial crisis era. Also, this is the first attempt to base calculation of temporal movement in prices, as measured by the “exact” price indices, on the adjusted unit values of food items.

The human development index (HDI) and gender‐related development index (GDI) have become accepted as leading measures for ranking human well being in different countries. The purpose of this paper is to identify the planning policies that improve these indices and to also suggest modifications to the indices that yield more sensible policies.Design/methodology/approach – This paper solves the first‐best welfare problem in which the planner maximizes a development index subject to resource constraints.Findings – Planning strategies that maximize the HDI tend towards minimizing consumption and maximizing expenditures on education and health. Interestingly, such strategies also tend towards equitable allocations, even though inequality aversion is not modelled in the HDI. The paper shows that the GDI generates optimal plans with similar properties, and determine when the GDI and HDI generate consistent optimal plans. A problematic feature of the optimal plans is that the income component in the HDI (or GDI) does not play its intended role of securing resources for a decent standard of living. Rather, it acts to distort the allocation between health and education expenditure. The paper argues that it is better to drop income from the index. Alternatively, the paper considers net income, income net of education and health expenditures, as indicating capabilities not already reflected in the index. Finally, it compares how the modified indices and the HDI rank countries.Originality/value – The paper is believed to be the first to integrate development indices into national development planning.

The purpose of this paper is to examine the impact of labor market freedom on state-level cost of living differentials in the USA using cross-sectional data for 2016 after allowing for the impacts of economic and quality of life factors.

The study uses two-stage least squares estimation controlling for factors contributing to cost of living differences across states.

The results reveal that an increase in labor market freedom reduces the overall cost of living.

The study can be extended using panel data and alternative measures of labor market freedom.

In general, the finding that less intrusive government and greater labor freedom are associated with a reduced cost of living should not be surprising. This is because less government intrusion and greater labor freedom both inherently allow markets to be more efficient in the rationalization of and interplay with forces of supply and demand.

The findings of this and future related studies could prove very useful to policy makers and entrepreneurs, as well as small business owners and public corporations of all sizes – particularly those considering either location in, relocation to, or expansion into other markets within the USA. Furthermore, the potential benefits of the National Right-to-Work Law currently under consideration in Congress could add cost of living reductions to the debate.

The authors extend the literature on cost of living differentials by investigating whether higher amounts of state-level labor market freedom act to reduce the states’ cost of living using the most recent annual data available (2016). That labor freedom has a systemic efficiency impact on the state-level cost of living is a significant finding. In our opinion, it is likely that labor market freedom is increasing the efficiency of labor market transactions in the production and distribution of goods and services, and acts to reduce the cost of living in states. In addition, unlike previous related studies, the authors investigate the impact of not only overall labor market freedom on the state-level cost of living, but also how the three sub-indices of labor market freedom, as identified and measured by Stansel et al. (2014, 2015), impact the cost of living state by state.

In this study, we attempt to estimate the disability costs of households employing the Standard of Livings (SoL) approach and evaluate the impact of the Universal health system reform implemented in Turkey in 2008.

We apply a Structural Equation Modelling (SEM), which simultaneously estimates the disability and living standard equations, including unobserved latent variables. Moreover, we apply a difference-in-differences (DiD) framework to investigate the impact of the universal health insurance (UHI) system and the Green Card programme on living standards. The empirical analysis relies on data derived from the cross-sectional Household Budget Surveys (HBS) during the period 2002–2013.

Our findings suggest a negative and significant impact of disability on SoL, where disability costs reach the 23% of the household income, which is equivalent almost to $2,600 (USD). Furthermore, the disability costs are reduced from $4,450 to $2,260 due to the UHI and the Green Card programme.

A major limitation of the study is the data structure, which is based on repeated cross-sectional surveys. By using panel data, it is possible to follow the same individual across time and to implement panel data models to control for unobserved heterogeneity and omitted-variable bias.

Disability has adverse effects on living standards. The estimation of the disability-related costs may provide a useful guide on policy planning and the design of social benefits.

The contribution of this paper is that it is the first study estimating the disability-related costs in Turkey. Furthermore, the contribution lies in the investigation of the 2008 health reform and the Green Card programme and its impact on disability costs.

The theoretical base for cost‐of‐living comparisons between geographical areas is examined and developed. The interpretation of bilateral comparisons is discussed within a framework of a matrix of cost‐of‐living comparisons with all countries being listed in both columns and rows. The use of multilateral comparisons is questioned.