The productivity of public capital: Evidence from Japan’s 1994 electoral reform

This paper estimates the causal effect of public capital stock on Production, using Japanese prefectural data. We first articulate the difficulty of consistently estimating the regional-level production function with public capital that results from the endogeneity of the public capital stock amount. The public capital amount could be endogenous because of the central government’s political decision-making process of public capital allocation or the local government’s budgetary constraints.Japan’s electoral reform in 1994 offers an exogenous variation in the public capital investment across regions, and we exploit this event to estimate the causal effect of public capital on production. The reform drastically changed the distribution of political representation in the Lower House across regions, and it accordingly changed the allocation of public capital across regions as well. We cannot reject the null hypothesis that public capital is not productive based on the estimates from this natural experimental identification strategy.     

Moment Estimation of the Probit Model with an Endogenous Continuous Regressor

We propose a generalized method of moments (GMM) estimator with optimal instruments for a probit model that includes a continuous endogenous regressor. This GMM estimator incorporates the probit error and the heteroscedasticity of the error term in the first‐stage equation in order to construct the optimal instruments. The estimator estimates the structural equation and the first‐stage equation jointly and, based on this joint moment condition, is efficient within the class of GMM estimators. To estimate the heteroscedasticity of the error term of the first‐stage equation, we use the k‐nearest neighbour (k‐nn) non‐parametric estimation procedure. Our Monte Carlo simulation shows that in the presence of heteroscedasticity and endogeneity, our GMM estimator outperforms the two‐stage conditional maximum likelihood estimator. Our results suggest that in the presence of heteroscedasticity in the first‐stage equation, the proposed GMM estimator with optimal instruments is a useful option for researchers.     

Unsmoothing Commercial Property Returns: A Revision to Fisher–Geltner–Webb's Unsmoothing Methodology

Fisher, Geltner, and Webb (1993), in a highly influential paper, develop a procedure to recover the underlying market values from a smoothed valuation-based commercial property return index, without assuming that the underlying property market is informationally efficient. Many papers since then have used the Fisher–Geltner–Webb unsmoothing technique to desmooth commercial property returns. We show, however, that there is an inherent bias in Fisher–Geltner–Webb unsmoothing technique and propose a simple extension of their model to correct for this bias. We then compare the performance of our improved specification to that of the Fisher–Geltner–Webb model.     

Using managers' expectations for ex-ante policy evaluation: Evidence from the COVID-19 crisis

Evaluation of the impacts of government policies during an economic crisis is often delayed until the outcomes are realized. Policies can be better guided if they can be evaluated amid a crisis, before the realization of outcomes. This study examines whether survey data on the expectations of small business managers can help evaluate two high-stake subsidies for firms amid the COVID-19 crisis in Japan, namely, Subsidy Program for Sustaining Businesses (SPSB) and Employment Adjustment Subsidy (EAS). We evaluate the accuracy of managers' expectations, estimate the impact of subsidies on the expected firm survival, and compare it with the estimated impact on realized survival. We find that the managers' expectations on their future sales, survival rate, and the possibility of receiving these subsidies predict the realized outcomes, although they were highly pessimistic about their survival rates. We find that the estimated impacts of the SPSB on the expected survival rates have the same sign as the estimated impact on the realized survival rates, but the size is more than twice because of the pessimism on survival. The estimated impacts of the EAS are both insignificant. Therefore, although its impact may be overestimated, managers' expectations are useful for selecting an effective policy.