Determinants of Household Savings: A Cross-Country Analysis

This paper analyses determinants of household savings in a model based on an extension of the disequilibrium savings theory. These extensions follow from the life-cycle and permanent-income theories. Based on panel data for 14 countries spanning the period 2000–2018, fixed-effect least squares and two-stage least squares estimation procedures were used. In line with previous studies, there is strong and robust evidence for the hypotheses of disequilibrium savings theory, specifically, positive effects of unanticipated income changes, unanticipated inflation and the lagged savings rate. There is also robust evidence for the income uncertainty hypothesis that uncertainty has a positive effect on savings. The analysis presents some evidence that social security suppresses savings, but finds no significant effects on the interest rate or old-age dependency ratio. Unexpectedly, the participation rate of the elderly has a significant positive effect in some specifications. These findings contribute to the debate on whether and how governments can influence saving behavior.

     

Agroindustrialization through institutional innovation Transaction costs, cooperatives and milk-market development in the east-African highlands

Some small-holders are able to generate reliable and substantial income flows through small-scale dairy production for the local market; for others, a set of unique transaction costs hinders participation. Cooperative selling institutions are potential catalysts for mitigating these costs, stimulating entry into the market, and promoting growth in rural communities. Trends in cooperative organization in east-African dairy are evaluated. Empirical work focuses on alternative techniques for effecting participation among a representative sample of peri-urban milk producers in the Ethiopian highlands. The variables considered are a modern production practice (cross-bred cow use), a traditional production practice (indigenous-cow use), three intellectual-capital-forming variables (experience, education, and extension), and the provision of infrastructure (as measured by time to transport milk to market). A Tobit analysis of marketable surplus generates precise estimates of non-participants' 'distances' to market and their reservation levels of the covariates — measures of the inputs necessary to sustain and enhance the market. Policy implications focus on the availability of cross-bred stock and the level of market infrastructure, both of which have marked effects on participation, the velocity of transactions in the local community and, inevitably, the social returns to agroindustrialization.     

A revised Tobit procedure for mitigating bias in the presence of non-zero censoring with an application to milk-market participation in the Ethiopian highlands

Fixed transactions costs that prohibit exchange engender bias in supply analysis due to censoring of the sample observations. The associated bias in conventional regression procedures applied to censored data and the construction of robust methods for mitigating bias have been preoccupations of applied economists since Tobin [Econometrica 26 (1958) 24]. This literature assumes that the true point of censoring in the data is zero and, when this is not the case, imparts a bias to parameter estimates of the censored regression model. We conjecture that this bias can be significant; affirm this from experiments; and suggest techniques for mitigating this bias using Bayesian procedures. The bias-mitigating procedures are based on modifications of the key step that facilitates Bayesian estimation of the censored regression model; are easy to implement; work well in both small and large samples; and lead to significantly improved inference in the censored regression model. These findings are important in light of the widespread use of the zero-censored Tobit regression and we investigate their consequences using data on milk-market participation in the Ethiopian highlands.     

State-level Federal Stimulus Funds and Economic Growth: The American Recovery and Reinvestment Act

International Advances in Economic Research - The American Recovery and Reinvestment Act encompassed a substantial federally-funded state-level fiscal stimulus. The objectives of the Act were to...     

Size, spillovers and soft budget constraints

There is much evidence against the so-called “too big to fail” hypothesis in the case of bailouts to subnational governments. We look at a model where districts of different size provide local public goods with positive spillovers. Matching grants of a central government can induce socially-efficient provision, but districts can still exploit the intervening central government by inducing direct financing. We show that the ability and willingness of a district to induce a bailout and district size are negatively correlated. Furthermore, we argue that these policies can be equilibrium strategies.     

Centralized and decentralized provision of public goods

We model the trade-off between centralized and decentralized decision making on the provision of local public goods. Decisions are influenced by spillover effects and differences in jurisdictional size. Centralized decisions are made in a legislature of locally elected representatives, and this creates a conflict of interest between citizens in different jurisdictions. The legislature can be self-interested or benevolent and this can result in either efficient, excessive, or misallocative provision of public goods. The form of centralized decision making has a significant influence on the incentives for centralizing decision making.     

Location and uptake: integrated household and GIS analysis of technology adoption and land use, with application to smallholder dairy farms in Kenya

CIS‐derived measures of location and space have increasingly been used in models of land use and ecology. However, they have made few inroads into the literature on technology adoption in developing countries, which continues to rely mainly on survey‐derived information. Location, with all its dimensions of market access, demographics and agro‐climate, nevertheless remains key to understanding potential for technology use. The measures of location typically used in the adoption literature, such as locational dummy variables that proxy a range of locational factors, now appear relatively crude given the increased availability of more explicit GIs‐derived measures. This paper attempts to demonstrate the usefulness of integrating CIS‐measures into analysis of technology uptake, for better differentiating and understanding locational effects. A set of GIs‐derived measures of market access and agro‐climate are included in a standard household model of technology uptake, applied to smallholder dairy farms in Kenya, using a sample of 3330 geo‐referenced farm households. The three technologies examined are keeping of dairy cattle, planting of specialised fodder, and use of concentrate feed. Logit estimations are conducted that significantly differentiate effects of individual household characteristics from those related to location. The predicted values of the locational variables are then used to make spatial predictions of technology potential. Comparisons are made with estimations based only on survey data, which demonstrate that while overall explanatory power may not improve with CIS‐derived variables, the latter yield more practical interpretations, which is further demonstrated through predictions of technology uptake change with a shift in infrastructure policy. Although requiring large geo‐referenced data sets and high resolution GIS layers, the methodology demonstrates the potential to better unravel the multiple effects of location on farmer decisions on technology and land use.     

Beyond One‐Size‐Fits‐All: Differentiating Market Access Measures for Commodity Systems in the Kenyan Highlands

Market access measures employed by economists and spatial analysts may not adequately capture local market or product‐specific variation. Analysis is conducted on the effects of market access on two commodities in the Kenyan highlands: milk and bean seeds. Both simple and composite measures of market access are applied to spatial price formation models to create spatial price decay functions in the context of household‐specific transaction costs. Composite measures of market access include negative exponential (using travel time or distance as cost) and gravity measures. The results demonstrate that the effects of market access differ significantly depending on the particular goods of interest. Simple measures of market access have the advantage of being more easily interpretable, and should therefore be preferred when communicating research outputs to the non‐scientific community, especially decision‐makers. The implications are that research addressing commodity‐specific development questions needs to look beyond generic measures of market access and develop tailored measures that reflect the characteristics of the commodity system of interest. The analysis also demonstrates that spatial price formation can be used to generate potentially more accurate measures of unit‐distance marketing costs.     

Was the American Recovery and Reinvestment Act an Economic Stimulus?

The American Recovery and Reinvestment Act (ARRA) of 2009 envisaged a fiscal stimulus of approximately $800 billion, the largest in American history. Chodorow-Reich et al. (2012a) show that the state fiscal relief that was part of this stimulus increases employment. The other objective of ARRA was to “promote economic recovery”. We therefore examine its effect on states’ economic growth. Since the stimulus each state received is endogenous to a state’s economic environment, ordinary least squares underestimates the effect. This endogeneity problem is addressed by using a state’s pre-recession Medicaid spending level to instrument for the ARRA fiscal relief each state receives. We find that the ARRA state fiscal relief has indeed had a positive effect on gross state products.