Sonia Ruano

Firm productivity and export markets: a non-parametric approach

Abstract This paper examines total factor productivity differences between exporting and non-exporting firms. These differences are documented on the basis of a sample of Spanish manufacturing firms over the period 1991–1996. The paper also examines two complementary explanations for the greater productivity of exporting firms: (1) the market selection hypothesis, and (2) the learning hypothesis. Non-parametric tests are proposed and implemented for testing these hypotheses. Results indicate clearly higher levels of productivity for exporting firms than for non-exporting firms. With respect to the relative merits of the selection and the learning hypotheses, we find evidence supporting the self-selection of more productive firms in the export market. The evidence in favor of learning-by-exporting is rather weak, and limited to younger exporters.

The Dynamics of Productivity: A Decompostion Approach Using Distribution Functions

In this paper we use a micro panel data set of Spanish manufacturing firms to measure the contributions of continuing firms and turnover to total factor productivity growth over the period 1990–1997. The paper proposes an approach to the decomposition of productivity growth that is based on the estimation of productivity distributions. We characterize the dynamics of productivity distributions defining counterfactual distributions and using non-parametric methods. The results we obtain indicate that incumbent firms are the main factor contributing to the change in the productivity distribution. Net entry contributes positively to TFP growth. Finally, changes in the relative weights of incumbent, entering and exiting firms produce a counter-cyclical movement of productivity.

No Bank, One Bank, Several Banks: Does it Matter for Investment?

This paper examines whether financial constraints affect firms’ investment decisions for older (larger) firms. We compare a group of unbanked firms to firms that rely on formal financing. Specifically, we combine data from the Spanish Mercantile Registry and the Bank of Spain Credit Registry (CIR) to classify firms according to their number of banking relations: one, several, or none. Our empirical strategy combines two approaches based on a common theoretical model. First, using a standard Euler equation adjustment cost approach to investment, we find that single-banked firms in our sample are most likely to exhibit cash flow sensitivity while unbanked firms are not. Second, using structural maximum likelihood estimation, we find that unbanked firms have a financial structure which is close to credit subject to moral hazard with unobserved effort, whereas single-banked firms have a financial structure which is more limited, as in an exogenously imposed traditional debt model. Firms in the unbanked category do not rely on bonds, equity, or formal financial markets, but rather on other firms in a financial or family-tied group (with either pyramidal or informal structure). We are among the first to document the importance of such groups in a European country. We control for reverse causality by treating bank relationships as endogenous and/or by appropriate stratifications of the sample.

Why did high productivity growth of banks precede the financial crisis

The observed high levels of banks’ operating efficiency, profi ts and market values in the years before the financial crisis raise reasonable doubts about the information content of conventional performance measures for the accurate assessment of the efficiency of banking intermediation. In this paper we estimate the productivity of individual Spanish banks and the industry’s productivity growth over time using the methodology of Olley and Pakes (1996) and Levinsohn and Petrin (2003), which controls for simultaneity bias. We then examine the contributions of two sets of factors to productivity growth: banking practices that have been signalled as the proximate causes of the crisis, and technical progress in the industry. We obtain that more than two thirds of the estimated productivity growth in the years 2000-2007 is attributable to practices such as the expansion of the housing market, the high recourse to securitization and short-term fi nance, and the leveraging of banks’ balance sheets. The remaining 2.8% cumulative annual growth rate is our estimate for the technical progress in the industry, similar to the estimated rate in the period 1993-2000.

Effects of Equity Capital on the Interest Rate and the Demand for Credit: Empirical Evidence from Spanish Banks

We examine the consequences of imposing higher capital requirements on banks (as under Basel III or, recently, in the case of large banks in the European context) for bank dynamics in complying with the new standards and for the long-term effects on bank lending rates and the demand for bank credit. The analysis combines econometric estimations of the determinants of equity capital ratios and lending rates with simulations of market equilibrium results for loan interest rates and the demand for bank credit, based on a parameterised model of the Spanish banking industry. We find that the gap between the target and the actual capital ratio is reduced by around 40% every year, mainly with retained earnings. We also find that raising the equity capital ratio by one percentage point increases bank lending rates by 4.2 basis points. Finally, the simulation exercise shows that the estimated increase in the cost of funds for banks associated with a one percentage point increase in the equity capital ratio leads to a fall of 0.8% in the total demand for bank credit. These results suggest that the social costs of higher equity capital requirements for banks are expected to be greater in the transition period, when banks are adjusting to the new standards, than in the steady state of the new industry equilibrium, when all banks comply with the new ratio

Productivity of Banks: Implications for Interest Rates, Economic Profits and Branches.

This paper examines the transmission of productivity differences among banks and of industry productivity growth over time to lower (higher) interest rates of loans (deposits) and higher customer accessibility to bank services. For this purpose, it models spatial competition in retail banking among bank branches with different productivity level. In the short-term banks compete in interest rates. In the mid-term, banks expand their network of branches until economic profits per branch converge to zero. In equilibrium, banks that are more productive set lower (higher) interest rates of loans (deposits) and their market share increases as a result of both a higher demand of loans and deposits per branch and a larger network of branches. The model fits well the data for Spanish banks over period 1993-2007.

Productivity and Welfare: An Application to the Spanish Banking Industry

This paper examines the links between productivity and social welfare, with an application to the banking industry. It models spatial price competition between bank branches jointly with banks’ decisions on the opening or closing of branches based on profit expectations. The model predicts that more productive banks set lower (higher) interest rates on loans (deposits) and increase their market share through both higher demand per branch and a larger network of branches. Specifically, the paper i) uses a new measure of bank productivity; ii) provides a productivity differences-based explanation of the distance between bank branches and bank customers; and iii) shows how the intensity of market competition may be unaffected when the number of banks decreases, provided that banks continue expanding their branch network. The empirical implementation of the model uses Spanish banks over the period 1993-2007 and it confirms the theoretical predictions of the paper.This paper examines the links between productivity and social welfare, with an application to the banking industry. It models spatial price competition between bank branches jointly with banks’ decisions on the opening or closing of branches based on profit expectations. The model predicts that more productive banks set lower (higher) interest rates on loans (deposits) and increase their market share through both higher demand per branch and a larger network of branches. Specifically, the paper i) uses a new measure of bank productivity; ii) provides a productivity differences-based explanation of the distance between bank branches and bank customers; and iii) shows how the intensity of market competition may be unaffected when the number of banks decreases, provided that banks continue expanding their branch network. The empirical implementation of the model uses Spanish banks over the period 1993-2007 and it confirms the theoretical predictions of the paper